УСТРОЙСТВО И СПОСОБ ОПРЕДЕЛЕНИЯ АКТИВНОСТИ БОЛЕЗНИ

Группа изобретений относится к медицинской технике, а именно к средствам определения активности болезни. Система содержит блок управления, выполненный с возможностью получения признаков из обнаруженных значений интенсивности света по меньшей мере в двух различных состояниях перфузии интересующей области и определения активности болезни в качестве единственного значения или скалярного значения, используя эти признаки с помощью использования предопределенного вектора регрессии. Способ определения активности болезни использует систему и носитель данных, содержащий команды, предписывающие процессорной системе выполнять способ. Использование изобретений позволяет облегчить анализ текущего состояния болезни и/или будущего ее течения. 3 н. и 18 з.п. ф-лы, 8 ил., 4 табл.

ОПРЕДЕЛЕНИЕ СОСТОЯНИЯ РАНЫ

СПОСОБ ОЦЕНКИ СТЕПЕНИ РЕАБИЛИТАЦИИ С ИСПОЛЬЗОВАНИЕМ АКТИВНОГО ЭКЗОСКЕЛЕТА У ПАЦИЕНТОВ С НАРУШЕНИЯМИ ОПОРНО-ДВИГАТЕЛЬНОГО АППАРАТА

УСТРОЙСТВО И СПОСОБ ДЛЯ НЕОТЛОЖНОГО ЛЕЧЕНИЯ ОСТАНОВКИ СЕРДЦА

Verfahren zum Ermitteln einer Erkrankungsprognose eines Kraftfahrzeuginsassen sowie Prognoseeinrichtung

Die Erfindung betrifft ein Verfahren zum Ermitteln einer Erkrankungsprognose (10) eines Kraftfahrzeuginsassen (12). Hierfür nimmt eine Erfassungseinrichtung (16) Kameradaten (22) des Kraftfahrzeuginsassen (12) in einem Kraftfahrzeug (14) auf und sendet die aufgenommenen Kameradaten (22) an eine kraftfahrzeugexterne Prognoseeinrichtung (18). Diese ermittelt zumindest ein Gesichtsmerkmal aus den aufgenommenen Kameradaten (22) und betreibt eine Deep-Learning-Engine (24), in welcher zu einer Vielzahl von Personen Gesichtsmerkmale und Krankheitsdaten betreffend wenigstens eine Krankheit dieser Personen statistisch zusammengefasst werden. Das zumindest eine ermittelte Gesichtsmerkmal wird mittels der Deep-Learning-Engine (24) verarbeitet. Hierdurch ermittelt die Deep-Learning-Engine (24) die Erkrankungsprognose (10) des Kraftfahrzeuginsassen (12) mit einer Wahrscheinlichkeit, mit welcher der Kraftfahrzeuginsasse (12) an der wenigstens einen Krankheit innerhalb eines vorbestimmten zukünftigen ...

Anordnung zum Ermitteln von Stoffwechselendprodukten in der Haut

Es ist eine Anordnung (100) zum Ermitteln von Hauteigenschaften angegeben. Die Anordnung weist auf: eine Erfassungseinheit (110) zum Erfassen von Hautmerkmalen; eine Auswerteeinheit (120) zum Auswerten der erfassten Hautmerkmale und zum Ermitteln der Hauteigenschaften basierend auf den erfassten Hautmerkmalen; und eine Nutzerschnittstelle (130), welche eine Ausgabeeinheit (134) aufweist, wobei die Nutzerschnittstelle zum Interagieren mit einem Nutzer ausgeführt ist. Die Auswerteeinheit (120) ist ausgeführt, eine Datenspeichereinheit (140) unter Verwendung der ermittelten Hauteigenschaften abzufragen, von der Datenspeichereinheit (140) Merkmale von Behandlungsmitteln und/oder Anwendungshinweise zur nicht-therapeutischen Behandlung einer Körperoberfläche gemäß der ermittelten Hauteigenschaften zu erhalten, und die Ausgabeeinheit (134) anzuweisen, Informationen zu den Behandlungsmitteln und/oder Anwendungshinweise an einen Nutzer auszugeben. Die Auswerteeinheit (120) ist eine portable Recheneinheit ...

Asymmetric flouro-substituted polymethine dyes

Systems and methods for wound monitoring

Strategic treatment of pressure ulcer using sub-epidermal moisture values

Recist

Strategic treatment of pressure ulcer using sub-epidermal moisture values

IN-VIVO-SENSOR AND PROCEDURE FOR ITS PRODUCTION

Verfahren und Vorrichtung zur Überwachung der Wundheilung

The invention relates to a method and a device for monitoring wound healing by means of at least one sensor which is arranged on or in a wound dressing material (12), wherein the light absorption of the wound (11) is measured at at least two different wound depths.

Apparatus, method and program for determining a cognitive state of a user of a mobile device

An apparatus for determining a cognitive state of a user of a mobile device (2) of the apparatus (1), the apparatus (1) comprising: an output means (5) in the mobile device (2) for giving out information to the user, wherein the output means (5) comprises an optical output means (5.1) for optically giving out information to the user; a camera (3) in the mobile device (2) 5for recording images in a first view direction (3.1) of an environment of the mobile device (2);a path means (6) configured to determine a positional path of the mobile device (2) in the environment; a further camera (4) in the mobile device (10) for recording images in a second view direction (4.1) and/or a microphone (13) for recording an audio signal; a task means (7, 7') 10for interacting via the output means (5) with the user to make the user solve a task using an augmented reality environment shown via the optical output means (5.1) and based on the environment of the mobile device (2) captured by the camera (3); ...

Analyte detection system

A system for detecting analytes in a biological subject, the system including at least one substrate including a plurality of microstructures configured to breach a stratum corneum of the subject, and wherein a presence, absence, level or concentration of analytes is able to be detected by contact of the microneedles with the analytes causing a change in appearance in at least one of the microstructures, the substrate or the stratum corneum of the subject.

Systems and methods for monitoring neural activity

Systems and Methods for Monitoring Neural Activity A method of monitoring neural activity responsive to a stimulus in a brain or a subject under general anaesthetic, the method comprising: applying the stimulus to one or more of at least one electrode implanted in a target neural structure of the brain; detecting a resonant response from the target neural structure evoked by the stimulus at one or more of the at least one electrode in or near the target neural structure of the brain; and determining one or more waveform characteristics of the detected resonant response.

Methods of assessing and treating hepatic encephalopathy

The present disclosure relates to methods of treating or ameliorating hepatic encephalopathy (HE), including assessing the severity of HE in a patient suffering from HE, or the determining the presence or occurrence of an overt hepatic encephalopathy (OHE) event. In particular, some aspects of the methods use a novel Hepatic Encephalopathy Staging Tool (HEST), which includes a set of criteria to categorize the HE into different stages and provide guidance on effective treatments based on the severity of the HE. Other aspects of the methods use an Overt Hepatic Encephalopathy Screening Tool (O-HEST) to determine whether an OHE event is occurring or has occurred and provide guidance on proper medical attention and change in treatment.

Methods for monitoring bladder cancer immunotherapy

The invention provides methods of measuring the progression and effectiveness of a course of treatment of bladder cancer in a subject diagnosed with a bladder cancer, by applying a physiologically acceptable dye to the tumor and measuring the degree of progression and effectiveness of the course of treatment of the bladder cancer.

System and method for detecting and monitoring blast exposure using magnetic resonance spectroscopy (MRS)

A system and method identifies blast exposure by the use of magnetic resonance spectroscopy (MRS) to measure absolute and relative concentrations of metabolites in specific brain regions in the central nervous system or brain. The system and method can be used as a diagnostic tool for the assessment of blast exposure. These chemical changes in the brain of those people suffering from blast exposure are different from those suffering from head injury, chronic pain and other neurological conditions.

Apparatus and method for non-invasively detecting diseases that affect structural properties in biological tissues

Apparatus and methods for spectroscopic analysis of biological tissues to classify an individual as diabetic or non-diabetic, or to determine the probability, progression or level of a disease or medical condition in an individual.

Systems and methods for a tinnitus therapy

The treatment of tinnitus may include a tinnitus therapy including generating a tinnitus therapy sound that is similar to a patient's perceived tinnitus sound. In one example, a method for generating a tinnitus adjusted sound may include presenting a plurality of different sound templates to a user from a series of tinnitus therapy sound templates, receiving a selection by the user of one or more of the templates, receiving an adjustment to one or more of the selected templates, and generating a therapy sound based on the adjusted selections.

Methods for assessing erythema

The present invention relates to methods for an objective and quantitative erythema documentation and analysis. In particular, the invention relates to a method for assessing erythema of a subject comprising the steps of measuring the light reflectance of a skin or mucosal area of the subject, obtaining the L* value and the a* value of said measurement according to the L*a*b* color space, and calculating the erythema value according to the formula (L* ...

Localized collection of biological signals, cursor control in speech-assistance interface based on biological electrical signals and arousal detection based on biological electrical signals

The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.

Systems and methods for tracking and presenting tinnitus therapy data

Automatic differential diagnosis of worsening heart failure

Devices and methods for differentially diagnosing between worsening heart failure (HF) and other diseases or medical conditions are described. A medical system can receive patient information including one or more physiologic signals, and detect a respective physiologic feature from each of the one or more received physiologic signals. The medical system can include a differential diagnosis circuit that generates one or more signal metrics, receive two or more candidate conditions associated with the change in patient physical or physiological status, and determine a respective diagnostic score for each of the candidate conditions. The diagnostic score can indicate likelihood the change in the patient physical or physiologic status being caused by the corresponding candidate condition. A user interface can be provided to generate a presentation of the detected physiologic features and the diagnostic scores associated with the candidate conditions.

A SYSTEM AND METHOD FOR AUTOMATIC BRAIN TUMOR CLASSIFICATION IN MRI IMAGES

The present disclosure relates to a clustering scheme, namely Gaussian Hybrid Fuzzy Clustering (GHFC) is developed by hybridizing the fuzzy c-means (FCM) clustering and sparse FCM along with the Gaussian function for the segmentation purpose is disclosed. After segmenting the image, the suitable features are extracted from the image and given to the Exponential cuckoo based Radial Basis Neural Network (Exponential cuckoo based RBNN) classifier. The features serve as the training information for the Exponential cuckoo based RBNN classifier, and it finally detects the training class. Simulation of the proposed work is done using BRATS and SIMBRATS databases, and the results are compared with several state-of-art techniques. Simulation results depict that the proposed GHFC along with the RBNN classifier achieved improved accuracy and mean squared error (MSE) results with the values of 0.8952, and 0.0074, respectively, for the BRATS dataset and 0.8719 and 0.0036, for the SIMBRATS dataset. E ...

Detection of pathologies in ocular images

Abstract 5 A computer-implemented method of searching for a region (410) indicative of a pathology in an image (400) of a portion of an eye acquired by an ocular imaging system (420), the method comprising: receiving (S10) image data defining the image; searching (S12) for the region in the image by processing the received image data using a learning algorithm; and in case a region in the image that is indicative of the pathology is found: 10 determining (S14) a location of the region in the image; generating (S16) an instruction for an eye measurement apparatus to measure a functional response of the eye to light stimulation to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving (S18) the measurement data from the eye measurement apparatus. Fig. 3 ...

Localized collection of biological signals, cursor control in speech-assistance interface based on biological electrical signals and arousal detection based on biological electrical signals

The present disclosure provides a device with electrodes configured to record electrical activity that are confined to a restricted area, using recorded biological electrical signals to control cursor position in a speech-assistance interface, and using recorded biological signals to detect arousals during sleep.

DETECTION OF OLIGOSACCHARIDES IN PATIENT SAMPLES TREATED WITH A GLYCOSAMINOGLYCAN LYASE

Provided herein are processes for detecting oligosaccharides in a biological sample. In specific instances, the biological sample is provided from an individual suffering from a disorder associated with abnormal glycosaminoglycan accumulation.

METHOD AND SYSTEM FOR QUANTIFYING BIOMARKER OF A TISSUE

The present disclosure relates to a method and a system for quantifying a biomarker of a biological tissue. Two spectral sub-intervals are determined from a plurality of images of the tissue acquired at discrete wavelengths within a main wavelength interval using an imaging sensor in a manner such that the combination of the image data in the at least two spectral sub-intervals are correlated with a clinical variable of interest. The tissue is illuminated using one or more light sources with wavelengths within the at least two spectral sub-intervals. A measurement is of the light reflected by the tissue is acquired using an imaging sensor; and a measure of the biomarker of the tissue is calculated using the acquired measurement. The main wavelength interval is broader than each of the at least two spectral sub-intervals and at least one spectral confounder causing a spectral variability of the acquired image is present in the tissue.

SYSTEMS AND METHODS FOR PROVIDING REAL-TIME PERFUSION GUIDED TARGETS FOR PERIPHERAL INTERVENTIONS

Disclosed herein are computer-implemented real-time systems and methods for determining success of a revascularization procedure and/or wound healing of a patient, that can involve measuring blood perfusion characteristics utilizing diffuse speckle contrast analysis (DSCA), and determining blood perfusion and vascular health indices predictive of a likely positive or negative patient outcome, and communicating that outcome to an operator utilizing a display, etc.

METHODS AND SYSTEMS FOR INHIBITING THE SPREAD OF A PATHOGEN

A method for inhibiting the spread of a pathogen is provided that includes storing, using a computer, location data of computing devices. Each computing device is associated with a respective user. The method also includes receiving data indicating one of the users contracted a pathogen, and comparing, using the computer, the location data of the computing device associated with the pathogenic user against the location data of the other computing devices to determine whether the computing device of the pathogenic user was within a distance of at least one other computing device within a period of time. When at least one other computing device was within the distance of the computing device associated with the pathogenic user, the user associated with the at least one other computing device is identified and notified.

DETECTION OF PATHOLOGIES IN OCULAR IMAGES

A computer-implemented method of searching for a region (410) indicative of a pathology in an image (400) of a portion of an eye acquired by an ocular imaging system (420), the method comprising: receiving (S10) image data defining the image; searching (S12) for the region in the image by processing the received image data using a learning algorithm; and in case a region in the image that is indicative of the pathology is found: determining (S14) a location of the region in the image; generating (S16) an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving (S18) the measurement data from the eye measurement apparatus.

METHOD AND APPARATUS FOR PROVIDING A QUANTITATIVE VOLUMETRIC MAP OF AN ORGAN OR AN ASSESSMENT OF ORGAN HEALTH

A method of providing a quantitative volumetric assessment of organ health or a quantitative map of an organ. The method comprises obtaining a volumetric map of organ health comprising information defining a state of tissue health across at least part of an organ, receiving an input defining at least one organ section, determining an assessment organ volume based at least partly on the at least one defined organ section, calculating an organ-viability measure for the assessment organ volume based at least partly on information within the volumetric map defining the state of tissue health across the organ volume, and outputting an indication of the organ-viability measure.

SYSTEMS AND METHODS FOR WOUND MONITORING

Systems, devices, and methods are provided for monitoring wound status and progression by measuring pH levels indicated by pH-sensitive wound dressings. In some implementations, a wound is monitored by capturing an image of the pH-sensitive wound dressing and processing the captured image to determine the color of a pH indicator included on the wound dressing. The color of the indicator is determined in terms of RGB values from the image, and a pH value for the wound dressing is calculated from the dressing RGB values. The calculated pH value is then relayed to a user to be used as an indicator of wound status or health.

EYE MOVEMENT MONITORING OF BRAIN FUNCTION

The present disclosure provides a wearable device for the detection of mild traumatic brain injury, such as concussions, and methods of use thereof. Further disclosed are a method and system for detecting a mild traumatic brain injury.

USER INITIATED AND FEEDBACK CONTROLLED SYSTEM FOR DETECTION OF BIOMOLECULES THROUGH THE EYE

A system for detecting biomolecules in a user's eye having a head and tracking system positioned a comfortable distance from the user that provides positioning cues for the user, an optical system for providing scans of the user's eye, and a controller that operates the head and tracking system and the optical system and perform a risk analysis based on data from the scans.

SYSTEMS AND METHODS FOR TRACKING AND PRESENTING TINNITUS THERAPY DATA

DETECTION OF RATE CHANGES IN SYSTEMATIC OSCILLATIONS OF METABOLIC PATHWAYS BY MONITORING ISOTOPE RATIOS

POSITIVE REINFORCEMENT MESSAGES TO USERS BASED ON ANALYTICS OF PRIOR PHYSIOLOGICAL MEASUREMENTS

Described herein are systems and methods to utilize factual information based on stored analyte or physiological data to allow for positive reinforcement of behaviors that are conducive to managing a chronic disease.

SYSTEMS AND METHODS FOR PROCESSING AND DISPLAYING PATIENT ELECTROCARDIOGRAPH DATA

A method is disclosed for displaying patient ECG data. The method includes receiving ECG data including an ECG waveform; receiving analyzed ECG data including arrhythmic events; generating an indicia of the detected arrhythmic event; and displaying the indicia of the detected arrhythmic event in relation to the ECG waveform at a position associated with a time of the detected arrhythmic event. A system for displaying patient ECG data is also disclosed.

Method for determining a current actual state of a person to compile an ayurvedic cleaning cure for use in reconstructing the Dosha-constitution type of Prakriti.

Die Erfindung betrifft ein Verfahren zur Bestimmung eines aktuellen Ist-Zustandes einer Person durch einen Vergleich des bei Geburt festgelegten Dosha-Konstitutionstyps Prakriti mit dem aktuellen Mischverhältnis der Doshas Vata, Pitta und Kapha mit Hilfe eines Softwareprogramms sowie die Verwendung dieses Verfahrens. Des Weiteren betrifft das erfindungsgemäße Verfahren einen Abgleich des bestimmten aktuellen Ist-Zustandes einer Person mit einer Datenbank zur Bestimmung der Zusammenstellung einer ayurvedischen Reinigungskur, umfassend Kräuterpräparate und/oder Gewürzzubereitungen; der Umstellung der Ernährung; Achtsamkeitsübungen; Übungen aus dem Yoga; und/oder Atem- und Körperübungen zur Wiederherstellung des Dosha-Konstitutionstyps Prakriti einer Person. Zudem betrifft die vorliegende Erfindung eine auf den aktuellen Ist-Zustand abgestimmte ayurvedische Reinigungskur zur Verwendung zur Wiederherstellung des Dosha-Konstitutionstyps Prakriti einer Person, umfassend Kräuterpräparate und/oder ...

MEASUREMENT OF ALS PROGRESSION BASED ON KINETIC DATA

Apparatus and methods for noninvasive monitoring of cancerous cells

SYSTEM FOR DETECTING AND ALERTING THE CAREGIVER OF A DECOMPENSATION RISKS OR HOSPITALIZATION OF A PATIENT

THE NON-INVASIVE DETECTION OF LIVER INJURY

L'invention porte notamment sur un dispositif de calcul (100) d'un score (205) reflétant un état d'une lésion hépatique, ledit dispositif de calcul (100) étant construit et agencé pour calculer un score (205) au moyen des paramètres physiques suivants : - Un paramètre corrélé à l'inflammation et/ou à la fibrose, - Un paramètre corrélé à la stéatose.

System and method for diagnosis of pigmented lesion

폐암 위험 평가 방법 및 시스템

... 특성 세트를 생성하여 폐암 위험을 평가하는 방법은 대상 개체로부터 수집된 혈액으로부터 복수개의 현재 혈액 검사 결과를 포함하는 특성 세트를 생성하는 단계, 다른 복수개의 표본 개체들 각각에 대한 복수개의 과거 혈액 검사 결과를 각각 분석한 결과에 따라 생성된 적어도 하나의 분류기를 제공하는 단계, 적어도 하나의 분류기를 이용하여 상기 특성 세트를 분류하고, 프로세서를 이용하여 상기 대상 개체의 폐암 위험을 평가하는 단계를 포함한다. 상기 복수개의 과거 혈액 검사 결과 및 상기 현재 혈액 검사 결과는 백혈구 혈액 검사 결과, 생화학 검사 결과, 적어도 하나의 혈소판 수치 및 평균 혈소판 용적(MPV)을 포함하는 혈소판 혈액 검사 결과 및/또는 흡연 이력과 적혈구 검사 결과의 조합 같은 혈액 검사 결과를 하나 또는 그 이상 포함한다.

센서 시스템들

... 카테터를 위한 센서 시스. 센서 시스는 기판과 연관되는 적어도 하나의 센서를 갖는 상기 기판; 및 적어도 하나의 센서와 통신하는 전자 유닛을 포함하며, 기판은 카테터에 부착하도록 구성된다.

Method for decoding an individual's visual attention from a brainwave signal

PEPTIDE IMAGING AGENTS

The present invention relates to labelled cMet binding peptides suitable for optical imaging in vivo. The peptides are labelled with an optical reporter group suitable for imaging in the red to near-infrared region. Also disclosed are pharmaceutical compositions and kits, as well as in vivo imaging methods, especially of use in the detection, staging, diagnosis, monitoring of disease progression or monitoring of treatment of colorectal cancer (CRC).

SMART DEVICE AND SYSTEM FOR TREATMENT OF GASTRIC REFLUX

A smart device that monitors the condition of the lower esophagus by means of cameras, pH sensors, and other biometric sensors. The device may be equipped with movable arms that facilitate the collection of tissue biopsies from the esophagus as well as a reservoir that contains a medicament such as an antacid or other medicament useful for treating GERD. Data from the cameras and sensors may be transmitted and processed outside of the body and used to diagnose and treat esophageal disorders and can provide early detection of esophageal cancer or to treat GERD.

FORECASTING EYE CONDITION PROGRESSION FOR EYE PATIENTS

Aspects extend to methods, systems, and computer program products for forecasting eye condition progression for eye patients. When a patient visits an eye practitioner, the patient (or when appropriate their guardian) may be interested in the current eye condition as well as a prediction of eye condition progression in the future and/or as the patient ages. Aspects of the invention can be used to predict the progress of an eye condition for a patient (e.g., a child) at a number of different post-examination times after an examination. Predicting the progress of an eye condition for a patient over time can be used to assist the eye practitioner in tailoring a treatment plan and/or tailoring a subsequent examination schedule for the patient.

MEASURING DYNAMIC BODY MOVEMENT

In one example, a system for measuring body movement is provided. The system may comprise at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least receiving a video including a sequence of images and detecting at least one object of interest in one or more of the images. Feature reference points of the at least one object of interest are located, and a virtual movement-detection framework is generated in one or more of the images. The operations may include detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework and generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.

DETERMINING AN EFFICACY OF A TREATMENT PROGRAM

This disclosure is directed to devices, systems, and techniques for determining an efficacy of a treatment program. For example, a medical device system includes a medical device including one or more sensors configured to generate a signal that indicates a parameter of a patient. Additionally, the medical device system includes processing circuitry configured to receive data indicative of a user selection of a reference time; determine a plurality of parameter values of the parameter based on a portion of the signal corresponding to a period of time including the reference time. Additionally, the processing circuitry is configured to identify, based on a first set of parameter values, a reference parameter value, calculate a parameter change value, and determine, based on the parameter change value, whether an improvement or a worsening of the patient has occurred responsive to a treatment administered beginning at the reference time.

Image processing apparatus, endoscope system, and image processing method

An image processing apparatus includes: an image acquisition unit that acquires a plurality of endoscope images obtained by imaging an observation target at different times with an endoscope; a blood vessel extraction unit that extracts blood vessels from the plurality of endoscope images; a blood vessel index value calculation unit that calculates a blood vessel index value for each of the blood vessels extracted from the endoscope images; a temporal change calculation unit that calculates a temporal change of the blood vessel index value; a determination unit that determines a state of a mucous membrane of the observation target using the temporal change of the blood vessel index value; and a monitor that displays a determination result of the determination unit.

PARKINSON?S DISEASE TREATMENT ADJUSTMENT AND REHABILITATION THERAPY BASED ON ANALYSIS OF ADAPTIVE GAMES

A Parkinson's disease treatment method, system, and computer program product, including administering a game to a user, monitoring a Parkinson's disease sign and a Parkinson's disease symptom based on a result of the user playing the game, adjusting treatment of the user depending on the Parkinson's sign and the Parkinson's symptom, and suggesting a tailored rehabilitation exercise for the user based on the treatment.

Quantification and staging of body-wide tissue composition and of abnormal states on medical images via automatic anatomy recognition

Quantification of body composition plays an important role in many clinical and research applications. Radiologic imaging techniques such as Dual-energy X-ray absorptiometry, magnetic resonance imaging (MRI), and computed tomography (CT) imaging make accurate quantification of the body composition possible. This disclosure presents an automated, efficient, accurate, and practical body composition quantification method for low dose CT images; method for quantification of disease from images; and methods for implementing virtual landmarks.

SYSTEMS AND METHODS FOR EVALUATING THE BRAIN AFTER ONSET OF A STROKE USING COMPUTED TOMOGRAPHY ANGIOGRAPHY

In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.

IMAGE PROCESSING METHOD, IMAGE PROCESSING DEVICE, PROGRAM, AND RECORDING MEDIUM

An image processing method or the like suitable for analyzing magnetic resonance image data using simple calculation is presented. Image processing apparatus processes magnetic resonance image data acquired by scanning multiple regions of a living body. MRI imaging apparatus scanning multiple regions of the living body to acquire magnetic resonance image data. Image processing unit generates phase difference image data from the magnetic resonance image data. Signal acquisition unit acquires a phase difference image signal from the phase difference image data. Statistic calculation unit performs statistical processing of the distribution of the phase difference image signal with respect to the phase difference for each region to calculate a statistic, for example. Examples of the statistical processing includes calculation of an average, a standard deviation, kurtosis, skewness, etc. Target material evaluation unit evaluates the amount of the target material included in multiple regions ...

SYSTEM AND METHOD FOR PROGNOSIS MANAGEMENT BASED ON MEDICAL INFORMATION OF PATIENT

The disclosure relates to a method, a system, and a computer-readable medium for prognosis management based on medical information of a patient. The method may include receiving the medical information including at least a medical image of the patient reflecting a morphology of an object associated with the patient at a first time, The method may further include predicting a progression condition of the object at a second time based on the medical information of the first time, where the progression condition is indicative of a prognosis risk, and the second time is after the first time. The method may also include generating a prognosis image at the second time reflecting the morphology of the object at the second time based on the medical information of the first time. The method may additionally include providing the progression condition of the object at the second time and the prognosis image at the second time to an information management system for presentation to a user.

Monitoring system

A method of performing impedance measurements on a subject. The method includes using a processing system to determine at least one impedance measurement to be performed, and at one electrode arrangement associated with the determined measurement. A representation of the arrangement is displayed so the impedance measurement can be performed once the electrodes have been arranged in accordance with the displayed representation.

Neurostimulation and monitoring using sensor enabled wound monitoring and therapy apparatus

An apparatus for monitoring neural response and/or providing treatment includes an electrical stimulator configured to apply electrical stimulation, and one or more processors configured to analyze stimulation response. The one or more processors can be further configured to operate the electrical stimulator, adjust the electrical stimulation, and determine one or more wound characteristics based at least in part on at least one of the electrical stimulation or the stimulation response, e.g. a movement of a patient, a color absorption characteristic, or other physiological responses. An indication of the one or more wound characteristics can be provided.

METHOD AND SYSTEM FOR DETERMINING MYOCARDIAL ISCHEMIA SEVERITY BASED ON HEMODYNAMIC PARAMETERS ESTIMATION

This disclosure relates generally to method and system for determining myocardial ischemia severity based on hemodynamic parameters estimation. Many patients suffer from myocardial ischemia due to narrowing of coronary artery resulting poor oxygen supply in cardiac muscles. The method includes receiving Electrophysiology (EP) signal from a simulated heart surface model to generate a single lead ECG template. The method further estimates hemodynamic parameters using a hemodynamic module based on the single lead ECG template and then estimates cardiac pressure-volume loop variables. The myocardial ischemia severity of the heart surface model is determined which includes one of moderate ischemia, severe ischemia and silent ischemia. Here, the cardiac source module is coupled with the hemodynamic module to determine cardiac transmembrane potential (TMP) of the heart surface model through contractility function. This method serves as a guidance platform for patient care such as synthetic data ...

SYSTEM AND METHOD FOR DETERMINING PATIENT HEALTH INDICATORS THROUGH MACHINE LEARNING MODEL

This disclosure relates to method and system determining a plurality of patient health indicators through a Machine Learning (ML) model. The method includes receiving numerical data from a monitoring device. The numerical data is based on patient input data. The patient input data includes predefined variables, discretely sampled data, and continuously sampled data. The method further includes identifying a set of patterns from the numerical data through the ML model. The ML model is based on at least one of a Long Short Term Memory (LSTM), Extreme Gradient Boost (XGBoost), and Transformers. The method further includes comparing the set of patterns with historical medical data of the patient. The method further includes determining the plurality of patient health indicators through the ML model based on the comparing.

Tissue disorder imaging analysis

A method is described for determining the efficacy of a treatment method for a patient having a tissue disorder by administering a treatment to the patient, measuring a hazard score at two or more points in time after administering the treatment by obtaining an image of a tissue of the patient, wherein the image comprises a plurality of patient image voxels, identifying voxels of the patient image that are damaged by the disorder as damaged patient image voxels, obtaining a hazard atlas of the disorder in the tissue, wherein the hazard atlas comprises a plurality of voxels, each voxel representing a hazard value of an extent of deficit caused by damage from the disorder to that voxel of tissue at that location, and computing a hazard score for the patient, wherein the score is the integration of all damaged patient image voxels weighted by a hazard value corresponding to that voxel location, wherein the hazard score determines the patient's prognosis, and determining the efficacy of the ...

A METHOD AND APPARATUS FOR PROCESSING ASTHMA PATIENT COUGH SOUND FOR APPLICATION OF APPROPRIATE THERAPY

MULTI-PARAMETER DIABETES RISK EVALUATIONS

EVENT DETECTION USING A VARIABLE THRESHOLD

Devices and methods for detecting an event using a variable threshold. A patient monitoring system can receive physiologic information and compare the information to an onset threshold. When the onset threshold is exceeded, the system shifts to a reset threshold that is different than the onset threshold. When the reset threshold is crossed, the system shifts back to the onset threshold.

СПОСОБ И СИСТЕМА ДЛЯ НАБЛЮДЕНИЯ ЗА ФУНКЦИЕЙ ЛЕГКИХ ПАЦИЕНТА

Группа изобретений относится к медицинской технике. Способ наблюдения за функцией легких пациента содержит этапы, на которых определяют оба из времени вдоха и времени паузы для пациента, который использует дыхательное устройство, причем время вдоха и время паузы пациента определяются из измерений, полученных от дыхательного устройства, анализируют определенные времена вдоха и паузы для определения показателя функции легких пациента. Этап анализа определенного времени вдоха и времени паузы для определения показателя функции легких пациента содержит этап, на котором определяют отношение времени вдоха и времени паузы. Далее сравнивают показатель функции легких пациента с допустимым значением и формируют результат сравнения. Раскрыты процессор для осуществления способа наблюдения за функцией легких и система для использования при наблюдении за функцией легких. Технический результат состоит в обеспечении ранней индикации ухудшения функции легких в домашних условиях. 3 н. и 12 з.п. ф-лы, 3 ил ...

ОПТИЧЕСКИЕ АГЕНТЫ ВИЗУАЛИЗАЦИИ

Настоящее изобретение относится к области медицины и фармацевтики и представляет собой агент визуализации, подходящий для оптической визуализации организма млекопитающегокоторый включает конъюгат пентаметинцианинового красителя с биологической молекулой-мишенью (RGD-пептид). Изобретение обеспечивает создание конъюгатов пентаметиновых цианиновых красителей, подходящих для исследованийхарактеризующихся пониженным неспецифическим связываниемнапример, с белками плазмы. 7 н. и 19 з.п. ф-лы, 1 ил., 11 пр., 7 табл.

ПРЯМОЙ ИНФРАКРАСНЫЙ АНАЛИЗ ПОСТТРАНСЛЯЦИОННОЙ МОДИФИКАЦИИ БЕЛКОВ

СПОСОБЫ И СИСТЕМЫ ДЛЯ ОБНАРУЖЕНИЯ БИОЛОГИЧЕСКИХ АНАЛИЗИРУЕМЫХ ВЕЩЕСТВ

СИСТЕМЫ И СПОСОБЫ ОТСЛЕЖИВАНИЯ И ОБНАРУЖЕНИЯ ПЕРЕДАЧИ ИНФЕКЦИИ

ОПТИЧЕСКИЕ АГЕНТЫ ВИЗУАЛИЗАЦИИ

... 1. Агент визуализации, подходящий для оптической визуализации организма млекопитающего in vivo, включающий конъюгат формулы I ! , ! где ВТМ представляет собой синтетическую биологическую группировку-мишень; ! CyD представляет собой цианиновый краситель формулы II ! , ! где: ! Y1 и Y2 независимо представляют собой -O-, -S-, -NR6- или -CR7R8- и выбраны таким образом, что по меньшей мере один из Y1 и Y2 представляет собой -CR7R8; ! R1 и R2 независимо представляют собой Н, -SO3M1 или Ra, где М1 представляет собой Н или Bc, и Bc представляет собой биосовместимый катион; ! R3 представляет собой Н, С1-5алкил, С1-6карбоксиалкил или группу Ra; ! R4-R6 независимо представляют собой С1-5алкил, C1-6карбоксиалкил или Ra; ! R7 представляет собой Н или C1-3алкил; ! R8 представляет собой Ra или С1-6карбоксиалкил; ! Ra представляет собой С1-4сульфоалкил; ! L представляет собой синтетическую линкерную группу формулы -(А)m-, где каждый А независимо представляет собой -CR2-, -CR=CR-, -C≡C-, -CR2CO2-, -CO2CR2 ...

Ein medizinischs Gerät zur Erkennung von Coronavirus-Symptomen

Medizinisches Gerät (100) zum Erkennen von Coronavirus-Symptomen und Verhindern einer Coronavirus-Übertragung, das Gerät umfasst:einen abnehmbaren Körper (102), umfassend eine chipbasierte Sensoreinheit (104) mit einer Eingangsplatte, die einer äußeren Oberfläche ausgesetzt ist, um Temperatur, Pulsfrequenz und Sauerstoffgehalt eines Benutzers bei Kontakt mit dem Körperteil des Benutzers zu empfangen, und eine Steuereinheit (106) zum Klassifizieren von Benutzern in Coronavirus-infizierte Person und nicht infizierte Person beim Empfangen von Daten von der Sensoreinheit (104) und dadurch Übertragen in eine Blockchain-basierte Datenbank (108) zum Speichern der empfangenen Daten von Temperatur, Pulsfrequenz und Sauerstoffgehalt des Benutzers;wobei der abnehmbare Körper (102) mit einem tragbaren Zubehörteil oder einem Personalausweis befestigt ist, so dass der abnehmbare Körper (102) immer dem Körper des Benutzers ausgesetzt ist, um selbst leichte Symptome zu erkennen; undeine zentrale Verarbeitungseinheit ...

ANALYZING PET MEDICAL IMAGING DATA

Methods and apparatus for analyzing medical imaging data of a subject from an imaging modality using a tracer in which a characteristic of the tracer varies with time e.g. PET, are disclosed. A region of interest in a scanned image volume is determined and data is then obtained from detection of tracer emission events in the scanned imaging volume. From this data those events which originated in the region of interest are determined and a time series of emission events for the region of interest is then recorded from which the rate of change of emission events for the region of interest may be determined, the time series may also be used as an estimate of the blood input function for the scanned image volume. Those events originating in the region of interest may be determined by determining those events for which the line of response passes through the region of interest and the rate of change may be calculated using linear regression.

Animal monitoring

Apparatus 101 for monitoring an equine animal 1001 comprises a casing (102 Fig 1) located at the poll 1002 of the head 1003 of the equine animal. The casing houses a monitoring unit (501 Fig 5), which comprises a sensor arrangement (1103 Fig 11), a data processor (1101 Fig 11) with access to data storage and for processing received sensor signals to identify acquired data representative of a behavior definition, a communication interface (1104 Fig 11) and a power source (1106 Fig 11). The monitoring unit may be configured to store data over a period of time allowing the time and duration of each behavior definition to be determined. The sensor arrangement comprises a tri-axial accelerometer (1107 Fig 11) for detecting motion and a global positioning system (GPS) receiver (1108 Fig 11) for detecting location. The data processor is configured to sample the tri-axial accelerometer at a sampling rate in the range 8Hz to 25Hz inclusive, preferably 12Hz to 13Hz inclusive. A method of monitoring ...

Patient monitoring system with health status indicator

A patient monitoring system comprising a multi-patient display (14) configured to generally simultaneously display a health status indicator (132-138) for each of a plurality of patients. Preferably, the health status indicators (132-138) each comprise a colour gradient configured to visually convey a patient health assessment with a variable range of colour saturation and/or intensity.

Method and apparatus for imaging an organ

Data capture device

Apparatus and method for detecting health deterioration

An apparatus for detecting deteriorating health of a patient receiving gas from a respiratory device comprises a sensor unit 11 configured to monitor flow rate or pressure of a gas flowing in a pipe connecting the respiratory device to the patient. A processor 122 is configured to measure a respiratory rate of the patient based on variations in the flow rate or pressure of gas in the pipe, implement a trend analysis of the measured respiratory rate and generate a warning when it determines that there is an upward trend in the measured respiratory rate and that a magnitude of the trend exceeds a threshold. The trend analysis carried out by the processor may involve calculating a C-statistic for the measured respiratory rate. The measured respiratory rate may be compared with a characteristic respiratory rate. In an embodiment a differential pressure sensor (1111, figure 2) having first and second pneumatic input ports (1112, 1113 figure 2) may be used. One of the pneumatic input ports may ...

Providing a continuity of care across multiple care settings

The present disclosure provides methods of providing a continuity of care for a patient during transfer between care settings. The method includes the steps of deciding to transfer a patient from a first care setting to a second care setting, performing a first assessment of the patient in the first care setting, preparing a transfer record of the assessment, and transferring the transfer record with the patient to the second care setting.

Diagnostic method

Measurement of edema

An apparatus for assessing hypovolemia, comprising a sensor comprising at least first and second electrodes configured to be placed against a patient’s skin; a circuit coupled to the electrodes configured to measure an electrical property (e.g. bio-capacitance) between the electrodes; a processor coupled to the circuit and a non-transitory computer readable medium coupled to the processor and configured to perform the steps of: converting said information into a first sub-epidermal moisture (SEM) value wherein the first SEM value is a measure of the amount of extracellular fluid (ECF) in the patient and determining a difference between said the SEM value and a reference value wherein the magnitude of the difference less than the reference value is indicative of hypovolemia. The reference value may be derived from additional SEM measurements. The first SEM value may be an average SEM value derived from a plurality of electrical property (e.g. bio-capacitance) measurements.

Verfahren zur Überwachung der Wundheilung

The invention relates to a method and a device for monitoring wound healing by means of at least one sensor which is arranged on or in a wound dressing material (12), wherein the light absorption of the wound (11) is measured at at least two different wound depths.

SYSTEMS PREDICTING CONGESTIVE HEART FAILURE

Modular system for multi-modal imaging and analysis

A portable, modular handheld imaging system is disclosed. The modular system comprises a first housing portion and a second housing portion. The first housing portion includes at least one excitation light source. A first filter is configured to detect and permit passage of selected optical signals responsive to illumination with the excitation light to a first image sensor. A second filter is configured to detect and permit passage of selected optical signals responsive to illumination of the target surface with white light to a second image sensor. The second housing portion is configured to releasably receive the first housing portion. The second housing portion includes a display and a processor configured to receive the detected fluorescent and white light optical signals and to output a representation of the target surface to the display based on the detected optical signals.

Direct infrared analysis of post-translational modification of proteins

The present invention relates to a method for measuring post-translational modification of proteins in a subject. The method comprises recording of infrared radiation within a predetermined wavenumber range, attenuated by an integument of said subject, wherein said integument is still attached to said subject, and comparing said attenuation of infrared radiation to a predetermined value for deriving information regarding post-translational modification of proteins in the integument. The invention also relates to a corresponding system as well as to a post-translational modified integument protein as marker for in vivo diagnosis of a disease, e.g. diabetes mellitus or renal insufficiency.

Detection of rate changes in systematic oscillations of metabolic pathways by monitoring isotope ratios

System and Method for Determining Sleep Stage

Methods and apparatus monitor health by detection of sleep stage. For example, a sleep stage monitor (100) may access sensor data signals related to bodily movement and/or respiration movements. At least a portion of the detected signals may be analyzed to calculate respiration variability. The respiration variability may include one or more of variability of respiration rate and variability of respiration amplitude. A processor may then determine a sleep stage based on one or more of respiration variability and bodily movement, such as with a combination of both. The determination of sleep stages may distinguish between deep sleep and other stages of sleep, or may differentiate between deep sleep, light sleep and REM sleep. The bodily movement and respiration movement signals may be derived from one or more sensors, such as non-invasive sensor (e.g., a non-contact radio-frequency motion sensor or a pressure sensitive mattress). WO 2014/047310 PCT/US2013/060652 /4100,4020 4200 4010 4014 ...

Electric field cancer therapy devices with feedback mechanisms and diagnostics

Embodiments herein relate to medical device systems including electric field shaping elements for use in treating cancerous tumors within a bodily tissue. In an embodiment, a method for treating a cancerous tumor is provided. The method can include implanting one or more electrodes within a patient and measuring the impedance of tissue within the patient along a vector passing through or near a cancerous tumor. The method can also include administering an electric field to the cancerous tumor of the patient based on the measured impedance. Other embodiments are also included herein.

Chair pad system and associated, computer medium and computer-implemented methods for monitoring and improving health and productivity of employees

Provided are embodiments of systems, computer medium and computer-implemented methods for sensing health characteristics of a user using a chair pad including a set of health sensors integrated therewith and including temperature sensors, body position sensors, and body fat sensors. A method for sensing health characteristics of a user including receiving, from the temperature sensors, temperature data corresponding to a sensed body temperature of the user, receiving, from the body position sensors, body position data corresponding to a sensed body position of the user, receiving, from the body fat sensors, body fat data corresponding to a sensed body fat of the user, and transmitting, to a computer workstation, health data corresponding to the temperature data, the body position data, and the body fat data for use in determining the body temperature, the body position, and the body fat of the user.

Chair pad system and associated, computer medium and computer-implemented methods for monitoring and improving health and productivity of employees

Provided are embodiments of systems, computer medium and computer-implemented methods for sensing health characteristics of a user using a chair pad including a set of health sensors integrated therewith and including temperature sensors, body position sensors, and body fat sensors. A method for sensing health characteristics of a user including receiving, from the temperature sensors, temperature data corresponding to a sensed body temperature of the user, receiving, from the body position sensors, body position data corresponding to a sensed body position of the user, receiving, from the body fat sensors, body fat data corresponding to a sensed body fat of the user, and transmitting, to a computer workstation, health data corresponding to the temperature data, the body position data, and the body fat data for use in determining the body temperature, the body position, and the body fat of the user.

Detection and treatment of autoimmune disorders

Disclosed herein are methods of treatment of autoimmune diseases such as systemic lupus erythematosus (SLE) as well as clinical assays for detection of autoimmune disease activity in patients utilizing a PD1 ligand.

Patient monitoring device

A patient monitoring device to be worn on a limb of a patient. Some embodiments of the patient monitoring device include at least one sensor assembly configured to detect a measurement indicating a distance around the patient's limb and a communications subassembly configured to transmit the measurement to at least one external computing device. Other embodiments of the patient monitoring device include at least one sensor assembly configured to detect a measurement indicating a distance around the patient's limb and at least one processor configured to detect whether the distance around the patient's limb has increased indicating edema. Some embodiments include an accelerometer configured to detect device orientation and/or patient activity information. The patient activity information may be analyzed by an external computing device and/or the patient monitoring device to determine whether the patient's activity level has declined indicating a medical problem.

Method of diagnosing, prognosing and monitoring alzheimer's disease

The present invention provides a system and method for diagnosing, monitoring or prognosing Alzheimer's disease using at least one sensor comprising carbon nanotubes coated with cyclodextrin or derivatives thereof and/or at least one sensor comprising metal nanoparticles coated with various organic coatings in conjunction with a learning and pattern recognition algorithm.

In vivo sensor and method of making same

Implantable in vivo sensors used to monitor physical, chemical or electrical parameters within a body. The in vivo sensors are integral with an implantable medical device and are responsive to externally or internally applied energy. Upon application of energy, the sensors undergo a phase change in at least part of the material of the device which is then detected external to the body by conventional techniques such as radiography, ultrasound imaging, magnetic resonance imaging, radio frequency imaging or the like. The in vivo sensors of the present invention may be employed to provide volumetric measurements, flow rate measurements, pressure measurements, electrical measurements, biochemical measurements, temperature, measurements, or measure the degree and type of deposits within the lumen of an endoluminal implant, such as a stent or other type of endoluminal conduit. The in vivo sensors may also be used therapeutically to modulate mechanical and/or physical properties of the endoluminal implant in response to the sensed or monitored parameter.

Apparatus and Method of Monitoring Healing and/or Assessing Mechanical Stiffness of a Bone Fracture Site or the Like

An apparatus and method of monitoring healing and/or assessing mechanical stiffness of a bone fracture or the like is disclosed. The method comprises (a) recording a strut length of a variable length strut with an indicator pin, wherein the strut is on an external fixator is in a no or minimal load situation; (b) inputting such strut length, mounting parameters, and frame parameters into software to determine a first pose and position of the fixator; (c) positioning at least one indicator clip on each side of the indicator pin; (d) applying a load or torque to the bone fracture; (e) recording strut length of the variable length strut in loaded situation; (f) inputting such strut length, mounting parameters, and frame parameters into software to determine for a second pose and position of the fixator in a loaded situation; (g) solving for a change in pose and position by subtracting the second pose and position from the first pose and position; and (h) solving for the stiffness of the bone fracture by dividing the load applied to the bone fracture by the change in position and pose. An apparatus and indicator clip are also disclosed.

MEDICAL HYPERSPECTRAL IMAGING FOR EVALUATION OF TISSUE AND TUMOR

Apparatus and methods for hyperspectral imaging analysis that assists in real and near-real time assessment of biological tissue condition, viability, and type, and monitoring the above overtime. Embodiments of the invention are particularly useful in surgery, clinical procedures, tissue assessment, diagnostic procedures, health monitoring, and medical evaluations, especially in the detection and treatment of cancer. 1. A multispectral or hyperspectral medical imaging system comprising:a plurality of LED lights, each respective LED light in the plurality of LED lights configured to emit radiation at a particular spectral band in a plurality of spectral bands used by a diagnostic protocol module;a first stage optic configured to receive radiation projected, from one or more respective LED lights in the plurality of LED lights, off of an in vivo tissue located at a region of interest on a subject;one or more polarizers in optical communication with the first stage optic;an imaging sensor for recording an image of the radiation projected off of the in vivo tissue;a diagnostic protocol module adapted to detect a particular characteristic of the in-vivo tissue; switch one or more respective LED light in the plurality of LED lights off and on based on the diagnostic protocol module,', 'instruct the imaging sensor to record a plurality of images of the region of interest based on the diagnostic protocol module, each respective image in the plurality of images corresponding to radiation emitted at a particular spectral band by one or more respective LED light in the plurality of LED lights,', 'obtain a multispectrally or hyperspectrally resolved image based on the plurality of images, and', 'obtain a pseudo-color image of the region of interest based on the multispectrally or hyperspectrally resolved image, the pseudo-color image enhancing the visibility of the particular characteristic of the in vivo tissue present in the region of interest; and, 'a diagnostic processor ...

Intravascular sensing method and system

Methods and systems for calculating a corrected Fractional Flow Reserve. Methods include delivering a pressure sensing device including a pressure sensor to a location in an artery having a stenosis, positioning the pressure sensor distal to the stenosis, measuring the distal pressure, measuring the proximal pressure, and calculating a corrected Fractional Flow Reserve using the measured proximal and distal pressures and applying a correction factor or correction equation. The correction factor or correction equation corrects for changes in the measured distal pressure caused by a presence of the pressure sensing device. A data set of correction factors or correction equations may be stored in a memory component of the system. The corrected Fractional Flow reserve may approximate the Fractional Flow Reserve that would be obtained if a different sized device was used to measure the distal pressure, such as a pressure sensing guidewire having a 0.014 inch outer diameter.

MULTI-MODAL IMAGING OF BLOOD FLOW

The application features methods, devices, and systems for measuring blood flow in a subject. The computer-implemented methods include receiving functional magnetic resonance imaging (fMRI) data that provides information on at least one of volume or oxygenation of blood at one or more locations in a body over a first predetermined length of time. The methods also include receiving near-infrared spectroscopic (NIRS) imaging or measurement data representing at least one of blood concentration or oxygenation at a first portion of the body over a second predetermined length of time. The methods further include deriving, from the fMRI data corresponding to a second portion of the body, a time varying data set representing changes in blood oxygenation or volume or both blood oxygenation and volume at the second portion over the first predetermined length of time and determining, by a computing device, a time delay and a value of a similarity metric corresponding to a part of the spectroscopic imaging data that most closely matches the time varying data set. The time delay represents a difference between a first time in which blood flows from a third portion in the body to the first portion and a second time in which blood flows to the second portion from the third portion. The value of the similarity metric represents an amount of blood at the second portion. An estimate of a characteristic of at least one of blood flow or blood volume in the second portion at a given time is determined based on the time delay and the value of the similarity metric. 136-. (canceled)37. A computer-implemented method for measuring at least one of blood flow or volume in a subject , the method comprising:receiving functional magnetic resonance imaging (fMRI) data that provides information on at least one of volume or oxygenation of blood at one or more locations in a body over a first predetermined length of time;receiving spectroscopic measurement data representing at least one of blood ...

Cognitive Function Assessment in a Patient

A method for analysis of the extent of conscious awareness and likelihood of recovery of a patient includes the steps of applying to the patient a sensory stimulus sequence which is typically auditory; carrying out an EEG to generate waveform signals to record changes in the electromagnetic fields generated by the patient's neural activity; using software provided in a processor to process the waveform signals in order to locate waveform peaks, identify the event-related potential (ERP) components obtained in the waveform and to obtain quantitative measures of those components; and using the software to generate and communicate scores indicative of the extent of conscious awareness and likelihood of recovery of the patient. 1. A method for analysis of the extent of conscious awareness and/or likelihood of recovery of a patient comprising:applying to the patient a sensory stimulus sequence generated by a stimulator;while applying the stimulus sequence, carrying out an EEG or MEG on the patient to record waveform signals from an array of sensors on, in, or near the head of the patient;using software provided in a processor to process the waveform signals in order to locate waveform peaks, identify the evoked responses contained in the waveform and obtain quantitative measures of these evoked responses;and using the software to generate and communicate scores based on the quantitative measures that are indicative of the extent of conscious awareness and/or likelihood of recovery of the patient.2. The method according to wherein the stimulus sequence is a compressed stimulus sequence that elicits a plurality of evoked responses in a time less than 5 minutes.3. The method according to wherein the stimulus sequence is automated and only requires user input related to patient-identifying information.4. The method according to wherein data processing by the software is automated with no user input required.5. The method according to wherein the software carries out waveform ...

Non-Invasive Method for Assessing the Presence or Severity of Liver Fibrosis Based on a New Detailed Classification

The present invention relates to a non-invasive method for assessing the presence and/or severity of a lesion in an organ of an animal, including a human, said method comprising carrying out at least one non-invasive test resulting in a value, preferably a score result, and positioning the at least one value or score result in a class of a detailed classification, such as, for example, a detailed classification based on population percentiles, or on a reliable diagnostic interval (RDI), to be crossed with another RDI. The present invention also relates to a device, preferably a meter, carrying out the non-invasive method of the invention.

Systems Approach to Disease State and Health Assessment

Methods, systems, and apparatus for assessing a state of an epilepsy disease or a comorbidity thereof are provided. The methods comprise receiving at least one autonomic index, neurologic index, stress marker index, psychiatric index, endocrine index, adverse effect of therapy index, physical fitness index, or quality of life index of a patient; comparing the at least one index to at least one reference value; and assessing a state of an epilepsy disease or a body system of the patient based on the comparison. A computer readable program storage device encoded with instructions that, when executed by a computer, perform the method described above is also provided. A medical device system capable of implementing the method described above is also provided. 1. A non-transitory computer readable program storage unit encoded with instructions that , when executed by a computer , perform a method for assessing a comorbidity associated with epilepsy , comprising:receiving at least one of a quality of life assessment and a physical fitness assessment;receiving at least one of an autonomic index and/or a neurologic index, or both;comparing at least one of the autonomic index and the neurologic index to at least one reference value associated with at least one of the autonomic index and the neurologic index;assessing a state of a body system of the patient based on the comparison and at least one of the quality of life assessment and the physical fitness assessment, wherein the body system comprises at least one of an autonomic system, a neurologic system, a psychiatric system, an endocrine system or subsystems of the foregoing; andproviding an output relating to the assessment, wherein the output comprises at least one of a body system stability, a body system improvement, a body system decline or a finding that a state of the body system cannot be determined, wherein the body system is a site of the comorbidity.2. The non-transitory computer readable program storage unit ...

SYSTEMS AND METHODS FOR CLASSIFICATION AND TREATMENT OF DECUBITUS ULCERS

Systems and methods for accurately and efficiently diagnosing, assessing, staging/grading/categorizing, and treating pressure ulcers, as well as preventing reverse staging of pressure ulcers, are disclosed. The system, in one embodiment, ensures that the rationale for the stage assigned to the patient will be in the patients' medical record. The system, in various embodiments, further suggests the pressure ulcer classification and allows the user to choose which classification terms should be used. In various embodiments, the system also allows for the different classification/staging system guidelines to be used, including the National Pressure Ulcer Advisory Panel (NPUAP) guidelines, the European Pressure Ulcer Advisory Panel Guidelines (EPUAP), the Pan Pacific Pressure Injury Alliance, CMS, WHO, and the MDS Guidelines. 1. A method of classifying decubitus ulcers , comprising the steps of:determining whether one or more criteria of a first stage/grade/category decubitus ulcer are presented by a particular wound;if the one or more criteria of the first stage/grade/category decubitus ulcer are presented, classifying the particular wound as the first stage/grade/category decubitus ulcer and generating a recommended treatment corresponding to the first stage/grade/category for the particular wound;if the one or more criteria of a first stage/grade/category decubitus ulcer are not presented, determining whether one or more criteria of a second stage/grade/category decubitus ulcer are presented by the particular wound;if the one or more criteria of the second stage/grade/category decubitus ulcer are presented, classifying the particular wound as the second stage/grade/category decubitus ulcer and generating a recommended treatment corresponding to the second stage/grade/category for the particular wound; andif the one or more criteria of the second stage/grade/category decubitus ulcer are not presented, taking a predetermined action with respect to the particular wound. ...

MONITORING HEART DISEASE USING IMPLANTABLE SENSORS

Specific embodiments of the present invention determine a range of a physiologic property, for each of a plurality of periods of time, and monitor changes in the patient's heart disease based on changes in the range. Other embodiments determine a minimum of a physiologic property, for each of a plurality of periods of time, and monitor changes in the patient's heart disease based on changes in the minimum. Still other embodiments determine a maximum of the physiologic property, for each of a plurality of periods of time, and monitor changes in the patient's heart disease based on changes in the maximum. 1. A system for monitoring a patient's heart disease , comprising:an implantable sensor to measure a physiologic property;a heart disease monitor to monitor the physiologic property when the patient's heart is not stressed, to monitor the physiologic property when the patient's heart is stressed, and to determine a range of the physiologic property for each of a plurality of periods of time;wherein the monitor monitors changes in the patient's heart disease based on how the range of the physiologic property changes over time.2. The system of wherein the heart disease monitor determines whether the patient's heart disease has worsened claim 1 , improved claim 1 , or stayed relatively the same claim 1 , based on the how the range of the physiologic property changes over time.3. The system of claim 1 , further comprising an activity sensor to determine when the patient's heart is stressed and when the patient's heart is not stressed.4. The system of claim 1 , wherein the system monitors heart rate to determine when the patient's heart is stressed and when the patient's heart is not stressed.5. A system for monitoring a patient's heart disease claim 1 , comprising:an implantable sensor to measure a physiologic property; anda heart disease monitor to monitor the physiologic property and to determine one of a minimum and maximum of the physiologic property for each of a ...

MICROFLUIDIC SYSTEMS FOR EPIDERMAL SAMPLING AND SENSING

A microfluidic system includes a flexible substrate having a skin-facing surface and a back-facing surface; a microfluidic network at least partially embedded in or supported by the flexible substrate; a sensor fluidically connected to the microfluidic network, wherein the microfluidic network is configured to transport a biofluid from a skin surface to the sensor; and a capping layer, having a capping layer skin-facing surface and a back-facing surface, wherein the back-facing surface of the capping layer is attached to the skin-facing surface of the substrate. The flexible substrate is at least partially formed of a thermoplastic elastomer or a polymer configured to provide a high barrier to vapor or liquid water transmission. 1. A microfluidic system , comprising:a flexible substrate having a skin-facing surface and a back-facing surface;a microfluidic network at least partially embedded in or supported by the flexible substrate;a sensor fluidically connected to the microfluidic network, wherein the microfluidic network is configured to transport a biofluid from a skin surface to the sensor; anda capping layer, having a capping layer skin-facing surface and a back-facing surface, wherein the back-facing surface of the capping layer is attached to the skin-facing surface of the substrate;wherein the flexible substrate is at least partially formed of a thermoplastic elastomer or a polymer configured to provide a high barrier to vapor or liquid water transmission.2. The microfluidic system of claim 1 , wherein the flexible substrate and the capping layer have a common additive.3. The microfluidic system of claim 1 , wherein the capping layer is at least partially formed of a thermoplastic elastomer and an additive.4. The microfluidic system of claim 3 , wherein each of the flexible substrate and the capping layer is formed of a common thermoplastic elastomer composition claim 3 , or a different thermoplastic elastomer composition.5. The microfluidic system of claim ...

Methods for Assessing Erythema

The present invention relates to methods for an objective and quantitative erythema documentation and analysis. In particular, the invention relates to a method for assessing erythema of a subject comprising the steps of measuring the light reflectance of a skin or mucosal area of the subject, obtaining the L* value and the a* value of said measurement according to the L*a*b* color space, and calculating the erythema value according to the formula (L*−L*)×a*. 1. A computer-based method for assessing erythema of a subject comprising the steps ofmeasuring the light reflectance of a skin or mucosal or conjunctive area of the subject; andobtaining the L* value and the a* value of said measurement according to the L*a*b* color space; and {'br': None, 'sub': 'max', '(L*−L*)×a*.'}, 'calculating the erythema value according to the formula'}2. The method of for assessing the risk of a subject to develop erythema caused by irradiation comprising the steps ofmeasuring the light reflectance of a skin or mucosal area of the subject prior to irradiation,obtaining the L* value and the a* value of said measurement according to the L*a*b* color space, {'br': None, 'sub': 'max', '(L*−L*)×a*, and'}, 'calculating the baseline erythema value according to the formula'}correlating the baseline erythema value to the risk of the subject to develop erythema caused by irradiation.3. The method of for predicting the intensity of erythema that a subject develops due to irradiation comprising the steps ofmeasuring the light reflectance of a skin or mucosal area of the subject prior to irradiation,obtaining the L* value and the a* value of said measurement according to the L*a*b* color space, and {'br': None, 'sub': 'max', '(L*−L*)×a*, and'}, 'calculating the baseline erythema value according to the formula'}correlating the baseline erythema value to the intensity of erythema that the subject develops due to irradiation.4. The method of for predicting the time until a subject develops erythema ...

SYSTEMS AND METHODS FOR WOUND MONITORING

Systems, devices, and methods are provided for monitoring wound status and progression by measuring pH levels indicated by pH-sensitive wound dressings. In some implementations, a wound is monitored by capturing an image of the pH-sensitive wound dressing and processing the captured image to determine the color of a pH indicator included on the wound dressing. The color of the indicator is determined in terms of RGB values from the image, and a pH value for the wound dressing is calculated from the dressing RGB values. The calculated pH value is then relayed to a user to be used as an indicator of wound status or health. 1. A system for monitoring a wound , comprising:means for capturing an image of a wound dressing;means for determining the color of a pH indicator on the wound dressing, wherein the means for determining the color comprises means for extracting RGB values from the captured image;means for calculating a pH value for the wound dressing from the dressing RGB values; andmeans for displaying an indication of the calculated pi I value.2. The system of claim 1 , further comprising means for displaying a guiding frame during image capture claim 1 , wherein the guiding frame provides an indication of proper wound dressing alignment to a user.3. The system of claim 2 , further comprising means for detecting the alignment of the wound dressing relative to the displayed guide frame claim 2 , wherein the image is automatically captured by the means for capturing when the wound dressing is properly aligned with the guiding frame.4. The system of claim 1 , further comprising:means for rejecting an image having inadequate light or excessive shadow; andmeans for displaying a request to a user to capture a new image.5. The system of claim 1 , further comprising means for displaying an option to accept or reject the calculated pH value when the calculated pi 1 value is displayed.6. The system of claim 1 , further comprising means for storing the calculated pH value in ...

System and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions

A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of associative activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and associative activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.

MEASURING DYNAMIC BODY MOVEMENT

In one example, a system for measuring body movement in a movement disorder disease is provided. The system may comprise at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least receiving a video including a sequence of images and detecting at least one object of interest in one or more of the images. Feature reference points of the at least one object of interest are located, and a virtual movement-detection framework is generated in one or more of the images. The operations may include detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework and generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point. 1. A system for measuring body movement in movement disorder disease , the system comprising: receiving a video including a sequence of images;', 'detecting at least one object of interest in one or more of the images;', 'locating feature reference points of the at least one object of interest;', 'generating a virtual movement-detection framework in one or more of the images;', 'detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework; and', 'generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point., 'at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least2. The system of claim 1 , wherein the operations further comprise:positioning or aligning the virtual movement-detection framework with the at least one object of interest in ...

Method and system for estimating momentary cardiovascular performance reserve

The invention relates to a method for determining a cardiovascular performance reserve for each individual patient, comprising the steps of: a) receiving input physiological data from the patient for obtaining a parameter Z which is or approximates the product of the Stroke Volume (SV) by the Systemic Vascular Resistance (SVR); b) providing a value representing the Respiratory Rate (RR) of said patient, wherein the Respiratory Rate (RR) value is provided by measurements using dedicated device(s), calculations from the input physiological data or manually by using best estimate; c) providing anthropometric data of said patient for calculating the Body Surface Area (BSA) of said individual, wherein the anthropometric data includes at least body dimensions (such as height and weight) of said patient; d) calculating the Cardiovascular Reserve (CVR) by using said Z parameter and said RR according to following formula: CVR=(Z/RR); e) calculating a Cardiovascular Reserve Index (CVRI) by standardizing said CVR (by said BSA) and normalizing it to a scale of 1 according to the following formula: CVRI=CVR/(BSA*4); and outputting said Cardiovascular Reserve Index.

LEARNING APPARATUS, REHABILITATION SUPPORT SYSTEM, METHOD, PROGRAM, AND TRAINED MODEL

The server is a learning apparatus including a data acquisition unit and a learning unit. The data acquisition unit acquires profile data and a selected assistance level as learning data. The profile data indicates a profile related to a trainee before executing rehabilitation regarding rehabilitation executed using a walking training apparatus as a rehabilitation support system. The selected assistance level is an assistance level selected at the time of executing the rehabilitation. The learning unit learns to determine a recommended assistance level recommended to be selected when the trainee uses the rehabilitation support system based on the learning data. Further, the learning unit generates a trained model that receives the profile data and outputs the recommended assistance level based on the learning. 1. A learning apparatus comprising:a data acquisition unit configured to acquire, regarding rehabilitation executed using a rehabilitation support system including an assistance apparatus for assisting a motion of a trainee, profile data indicating a profile related to the trainee before the execution of the rehabilitation and a selected assistance level as learning data, the selected assistance level being an assistance level of the assistance apparatus selected at the time of the execution of the rehabilitation; anda learning unit configured to learn to determine a recommended assistance level, the recommended assistance level being the assistance level of the assistance apparatus recommended to be selected when the trainee uses the rehabilitation support system based on the learning data, and to generate a trained model for receiving the profile data and outputting the recommended assistance level based on the learning.2. The learning apparatus according to claim 1 , whereinthe learning unit is configured to perform the learning by using the profile data as an input and the selected assistance level as teacher data.3. The learning apparatus according to ...

Multi-Parameter Diabetes Risk Evaluations

Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject. 1. A method of evaluating a subject's risk of developing type 2 diabetes and/or of having prediabetes , comprising:programmatically calculating a diabetes risk index score of a subject using at least one defined mathematical model of risk of developing type 2 diabetes that includes at least one lipoprotein component, at least one branched chain amino acid and at least one inflammatory biomarker obtained from at least one in vitro biosample of the subject.2. The method of claim 1 , further comprising programmatically defining at least two different mathematical models of risk of developing type 2 diabetes claim 1 , the at least two different mathematical models including one for subjects on a statin therapy that includes lipoprotein component that are statin insensitive and one for subjects not on a statin therapy.3. The method of claim 1 , further comprising pro grammatically defining at least two different mathematical models of risk of developing type 2 diabetes claim 1 , the at least two different mathematical models with different lipoprotein components including one for fasting biosamples claim 1 , and one for non-fasting biosamples.45-. (canceled)6. The method of claim 1 , wherein the at least one defined mathematical model of risk includes NMR derived measurements of a plurality of selected lipoprotein components of the at least one biosample of the subject claim 1 , and NMR measurements of at least one of GlycA and valine.7. The method of claim 1 , further comprising programmatically evaluating a fasting blood glucose measurement of the subject using at ...

SYSTEM FOR MONITORING A STATE OF DISEASE

The present invention relates to a device, a system and a method for measuring the lung function and the inhalation technique of a human subject, to facilitate the empowerment of patients to self-manage airway diseases, in particular asthma. The device according to the invention comprise a first part capable of measuring the time (s) and volume of air/time (v/s) exhaled from the human subject during a single inhalation, thereby providing a measurement of the lung function, and further comprising a second part capable of measuring the acceleration (m/s) of air and volume of inhalation from the human subject during a single inhalation, thereby providing a measurement of the inhalation technique, the second part of the device further comprising means for applying metered resistance to the inhalation, the applied resistance impairing the acceleration (m/s2) of air and volume of inhalation from the human subject during the inhalation. 1. A device for measuring the lung function and the inhalation technique of a human subject , the device comprising a first part capable of measuring the time (s) and volume of air/time (v/s) exhaled from the human subject during a single exhalation , thereby providing a measurement of the lung function , and further comprising a second part capable of measuring the acceleration (m/s) of air and volume of inhalation from the human subject during a single inhalation , thereby providing a measurement of the inhalation technique , the second part of the device further comprising means for applying metered resistance to the inhalation , the applied resistance impairing the acceleration (m/s2) of air and volume of inhalation from the human subject during the inhalation.2. A device according to claim 1 , wherein the first part and the second part are integrated into a single unit where the entry point of exhaled air is at the same location as the exit point of inhaled air.3. A system for monitoring the state of disease in the airways of a human ...

Method and system to optimize pharmacotherapy

A method of optimizing pharmacotherapy includes monitoring one or more characteristics of a patient associated with a condition of the patient and evaluating a baseline severity of the condition of the patient, recommending a selected therapy to the patient based on a therapy efficacy-risk map, evaluating an actual severity of the condition of the patient, evaluating an efficacy of the selected therapy, evaluating a risk score of the selected therapy, and updating the therapy efficacy-risk map based on the evaluated efficacy and risk score of the selected therapy.

SYSTEMS AND METHODS FOR MEASURING BEHAVIOR CHANGES OF PROCESSES

The present disclosure relates to systems and methods for characterizing a behavior change of a process. A behavior model that can include a set of behavior parameters can be generated based on behavior data characterizing a prior behavior change of a process. A stimulus parameter for a performance test can be determined based on the set of behavior parameters. An application of the performance test to the process can be controlled based on the stimulus parameter to provide a measure of behavior change of the process. Response data characterizing one or more responses associated with the process during the performance test can be received. The set of behavior parameters can be updated based on the response data to update the behavior model characterizing the behavior change of the process. In some examples, the behavior model can be evaluated to improve or affect a future behavior performance of the process. 1. A computer-implemented method comprising:receiving behavior data characterizing a prior behavior change of a process;generating a behavior model comprising a set of behavior parameters based on the behavior data;determining one or more stimulus parameters for one or more performance tests based on the one or more behavior parameters;controlling an application of the performance test to the process based on the one or more stimulus parameters to provide one or more measures of behavior change of the process;receiving response data characterizing one or more responses associated with the process during the performance test; andupdating the set of behavior parameters based on the response data to update the behavior model characterizing the behavior change of the process.2. The computer-implemented method of claim 1 , further comprising:evaluating the behavior model after a given performance test; andgenerating behavior adjustment data based on the evaluation, wherein the behavior adjustment data comprises information for improving or affecting a future behavior ...

ENERGY EFFICIENT HEART SOUND DATA COLLECTION

This document discusses, among other things, apparatus, systems, or methods to efficiently collect heart sound data, including detecting first heart sound information of a heart of a patient using a heart sound sensor in a first, low-power operational mode, and detecting second heart sound information of the heart using the heart sound sensor in a separate second, high-power operational mode. The operational mode of the heart sound sensor can be controlled using physiologic information from the patient, including heart sound information, information about a heart rate of the patient, or other physiologic information from the patient that indicates worsening heart failure. 1. A system , comprising:a heart sound sensor configured to detect first heart sound information of a heart of a patient in a first, low-power operational mode and to detect second heart sound information of the heart in a separate second, high-power operational mode; anda heart sound control circuit configured to receive physiologic information from the patient, and to control the operational mode of the heart sound sensor using the received physiologic information.2. The system of claim 1 , wherein the heart sound sensor has a first sampling frequency in the first mode and a second claim 1 , higher sampling frequency in the second mode.3. The system of claim 1 , wherein the heart sound sensor is configured to detect the first heart sound information in the first mode using a first specified heart sound window having a first duration within at least one physiologic cycle claim 1 , andwherein the heart sound sensor is configured to detect the second heart sound information in the second mode using a second specified heart sound window having a second duration longer than the first duration within at least one physiologic cycle.4. The system of claim 3 , wherein the heart sound control circuit is configured claim 3 , in the first mode claim 3 , to determine a location of the first specified heart ...

AN APPARATUS AND METHOD FOR MONITORING DISEASE PROGRESSION IN A SUBJECT

An apparatus comprises an activity monitor for measuring physical activity of a subject. The activity monitor is configured to obtain a first set of physical activity data over a first time period, for example during the day, and a second set of physical activity data over a second time period, for example during the night. A processor processes the data obtained by the activity monitor to calculate a physical activity ratio which is the ratio of the physical activity measured during the first time period to the physical activity measured in the second time period. The processor also calculates a first overall value which represents an activity level of the subject during the first time period. The physical activity ratio together with the first overall value may be used to assess the severity of symptoms of COPD displayed by a subject or to identify respiratory disease comorbidity information for example psychological issues such as low motivation, or sleep quality issues displayed by the subject. 1. An apparatus , comprising:an activity monitor for measuring the physical activity of a subject; and calculate a first overall value based on a first set of physical activity data associated with a first time period;', 'calculate a physical activity ratio based on the first set of physical activity data and a second set of physical activity data associated with a second time period; and', 'determine respiratory disease severity information and/or respiratory disease comorbidity information based on a combination of the physical activity ratio and the first overall value., 'a processor for processing data obtained by the activity monitor, wherein the processor is configured to2. The apparatus of claim 1 , wherein the processor is configured to determine respiratory disease severity information and/or respiratory disease comorbidity information based on a comparison of the physical activity ratio and the first overall value.3. The apparatus of claim 1 , wherein the ...

TOOLS FOR TRACKING THE GUM LINE AND DISPLAYING PERIODONTAL MEASUREMENTS USING INTRA-ORAL 3D SCANS

Methods for tracking gum line changes by comparing digital 3D models of teeth and gingiva taken at different times. The digital 3D models are segmented to digitally identify the teeth from the gingiva, and the segmented digital 3D models are compared to detect gum line changes by determining differences between them relating to the gum line. Gum line changes can also be estimated by comparing one of the digital 3D models with a 3D model having a predicted original location of the gum line. Gum line change maps can be displayed to show the gum line changes determined through the tracking or estimating of changes. The digital 3D models can also be displayed with periodontal measurements placed upon them. 1. A method for tracking gum line changes , comprising steps of:receiving first and second digital 3D models of teeth and gingiva, wherein the first digital 3D model was taken at a first time, and the second digital 3D model was taken at a second time later than the first time;segmenting the first and second digital 3D models to digitally identify the teeth from the gingiva and generate gingiva segmented first and second digital 3D models;comparing the gingiva segmented first and second digital 3D models to detect gum line changes by determining differences between the gingiva segmented first digital 3D model and the gingiva segmented second digital 3D model where the differences relate to the gum line; anddisplaying an indication of the gum line changes.2. The method of claim 1 , wherein the displaying step comprises displaying a gum line change map.3. The method of claim 2 , wherein the displaying step comprises displaying a first line illustrating a position of the gum line in the first digital 3D model and displaying a second line illustrating a position of the gum line in the second digital 3D model.4. The method of claim 2 , wherein the displaying step comprises displaying shading illustrating a difference in positions of the gum lines in the first and second ...

SYSTEM. DEVICE, AND METHODS FOR HYDRATION MONITORING

A method of monitoring hydration including obtaining biological data for a given period of time, wherein the biological data includes measurements of one or more biological indicators; converting the biological data into a baseline value; obtaining real-time biological data from one or more biological sensors; performing a pre-processing analysis of the real-time biological data; comparing the real-time biological data with baseline value to create a hydration index 1. A method of monitoring hydration comprising:obtaining, via one or more biological sensors for a wearable device, real-time biological data;filtering the real-time biological data into real-time biological data corresponding to a rest period;determining a hydration index by comparing the real-time biological data corresponding to the rest period with a baseline value representing a euhydrated state; anddetermining whether the hydration index falls within a predetermined range of expected values.2. The method of claim 1 , further comprising:generating an updated baseline value based at least in part on the hydration index.3. The method of claim 1 , wherein filtering the real-time biological data is filtered using a pre-processing analysis which includes a mathematical analysis selected from the group comprising neural networks claim 1 , support vector machines claim 1 , Bayesian methods claim 1 , linear regression methods claim 1 , moving average claim 1 , trimmed mean claim 1 , FIR filter claim 1 , IIR filter claim 1 , low-pass filter claim 1 , analytic function(s) claim 1 , extended Kalman filter claim 1 , piecewise-linear regression functions claim 1 , and combinations thereof.4. The method of claim 1 , wherein the baseline value is based on biological data for a user over a given period of time.5. The method of claim 1 , further comprising:tracking a loss in fluid volume of a user based on volume loss models; andcalculating the effect of the loss in fluid volume on the user's hydration index.6. The ...

METHOD AND SYSTEM FOR QUANTITATIVE ASSESSMENT OF VISUAL FORM DISCRIMINATION

A method and apparatus are presented to address quantitative assessment of visual form discrimination in a subject, where the method comprises the steps of: (1) presenting at least one scene to a subject on a display, said scene comprising a plurality of elements and a background; (2) distorting at least one geometric characteristic of at least one; (3) modulating the contrast level of the predetermined section of the scene; (4) moving the predetermined section relative to the scene, the movement being tracked by said subject via at least one input device; (5) receiving feedback from the subject via the input device; (6) quantitatively refining the received feedback relative to the scene; (7) adjusting at least one distorted geometric characteristic relative to the accuracy of the quantitatively refined feedback; (8) calculating the critical threshold parameter for the subject; and (9) recording the critical threshold parameter onto a tangible computer readable medium. 1. A method for assessing the onset or progression of impairment in the nervous system functioning of a subject associated with a possible nervous system disorder , injury , derangement , or toxicity , said impairment associated with brain functioning in a desired stimulus domain and relating to various different physical areas of a subject's brain , the method comprising the steps of:performing a visual form discrimination test on a computer screen using a user interface for variably and selectably determining a lowest signal-to-noise ratio and stimulus sequence durations at which a subject can accurately and consistently identify a target stimulus from at least one non-target stimulus, wherein said user interface comprises a set of specific patterns of visual form or motion, wherein said target stimulus comprises a plurality of elements having a uniform shape and said non-target stimulus comprises a plurality of elements having a different uniform shape, and further wherein said target stimulus ...

Systems and Methods for Generating and Applying Matrix Images to Monitor Cardiac Disease

Systems and methods are provided for monitoring progression of a cardiac disease in a patient by providing cardio-vibrational image matrixes and/or ECG image matrices generated using sensor data supplied by a medical device. In some examples, cardio-vibrational image matrices and/or ECG image matrices are output as image files. In some implementations, systems and methods are provided for using such cardio-vibrational image matrices and/or an ECG image matrices, and/or other clinical information, using machine learning classifiers, to assess cardiac risk in a patient. In some implementations, systems and methods are provided for using cardio-vibrational image matrixes and/or ECG image matrices, and/or other clinical information for real-time analysis of cardiac risk. 1. A method for monitoring a progression of a cardiac disease in a patient by providing cardio-vibrational image matrixes generated using sensor data supplied by a wearable cardiac monitoring device , the method comprising:accessing a plurality of cardio-vibrational signals obtained by at least one vibrational sensor monitoring a heart of the patient;generating, by processing circuitry from the plurality of cardio-vibrational signals, cardio-vibrational measurements of a predetermined duration, the cardio-vibrational measurements comprising at least a plurality of S1 peaks and a plurality of S2 peaks; and segmenting the cardio-vibrational measurements of the predetermined duration into a plurality of adjacent cardiac portions each having a duration smaller than the predetermined duration, and', on one axis, a time progression of the plurality of adjacent cardiac portions, and', 'on another axis, the pixel characteristic values of each portion of the plurality of adjacent cardiac portions, wherein the pixel characteristic values of each respective portion comprise values representing at least an S1 parameter value corresponding to a respective S1 peak of the plurality of S1 peaks, and an S2 parameter ...

SYSTEMS AND METHODS FOR EXTRACTING PROGNOSTIC IMAGE FEATURES

Described herein are systems and methods for extracting image features from magnetic resonance imaging scans. These methods and systems are useful for both determining cancer lesion severity and disease prognosis. In particular, methods and systems are provided herein for extracting and analyzing imaging features that are correlated with breast cancer subtype and prognosis. 1. A method of treating a subject having a breast cancer disease comprising one or more breast cancer lesions comprising: (i) marking one or more boundaries of one or more of the detected breast cancer lesions in the MR image of one or more areas of the breast tissue comprising the one or more breast cancer lesions;', '(ii) correcting non-uniformity of intensity of the MR image;', '(iii) segmenting the breast MR image into one or more tissue segments, wherein the tissue segments comprise one or more than one of a normal background parenchyma, the breast cancer lesion, or other breast tissue;', '(iv) extracting one or a plurality of image features from the MR image; and', '(v) outputting a score based on the one or plurality of image features, wherein the score indicates one or more clinical outcomes comprising a likelihood of the breast cancer disease progression, an overall survival of the subject, a recurrence-free survival, a distant recurrence-free survival, a response to neo-adjuvant therapy or a combination of clinical outcomes thereof; and, 'a) ordering a clinical test comprising evaluating one or more detected breast cancer lesions from an MR image of a breast tissue from the subject, wherein the evaluation comprisesb) treating the patient based on the results of the score, wherein treating comprises initiating a standard of care medical treatment, increasing a medical treatment, decreasing a medical treatment, altering a medical treatment, or ceasing a medical treatment.2. The method of claim 1 , wherein correcting non-uniformity of intensity comprises performing a nonparametric non- ...

Method and System for Analysis of Diagnostic Parameters and Disease Progression

A system and method of identifying a change in an eye to detect a probability of disease progression is provided. A database of eye examination maps of different eyes is employed, with each eye examination map including visual field information. Maps of eyes from the database are then selected that show no change between their examinations. Measurement data from the selected eye maps is then generated by collecting measurements made at visual field locations from each selected eye map. Simulated eye examination maps are then generated by randomly sampling a value from the measurement data. A global index is then employed to generate a population of possible global index values for the simulated eye examination maps. The simulated eye examination maps and the corresponding global index values are used to provide a measure of the probability of disease progression. 1. A method of identifying a change in an eye to detect a probability of a disease progression , the method comprising the steps of:providing a database comprising a multiplicity of eye examination maps obtained from a plurality of different eyes, with each eye examination map comprising visual field data;selecting maps of eyes from the database that show substantially no change between their examinations;generating measurement data from the selected eye maps by collecting a plurality of measurements made at a plurality of visual field locations from each selected eye map;generating a plurality of simulated eye examination maps by randomly sampling a value from the measurement data for each visual field location; andemploying a global index to generate an output using each of the plurality of simulated eye examination maps, where the output provides a measure of the probability of the disease progression.2. The method of claim 1 , where each of the plurality of simulated maps is generated by substituting the plurality of measurements made at each of the plurality of visual field locations from each selected ...

Sensor Systems

A sensor sheath for a catheter. The sensor sheath includes a substrate having at least one sensor associated therewith; and an electronics unit in communication with at the at least one sensor, wherein the substrate is configured to attach to a catheter. 111-. (canceled)12. A sensor system , comprising:a substrate having a least one hydrogel sensor associated therewith;a magnetometer adjacent the at least one hydrogel sensor; anda plurality of magnetic particles associated with the at least one hydrogel sensor.13. The sensor system of claim 12 , wherein each of the plurality of magnetic particles has a magnetic field claim 12 , and wherein the magnetic fields of the plurality of magnetic particles are aligned in the same direction.14. The sensor system of claim 12 , wherein each of the plurality of magnetic particles has a magnetic field claim 12 , and wherein the magnetic fields of the plurality of magnetic particles are aligned in a Halbach array.15. The sensor system of claim 12 , wherein the plurality of magnetic particles comprises magnetic nanoparticles.1617-. (canceled)18. The sensor system of claim 12 , further comprising an electronics unit in communication with the at least one hydrogel sensor.19. The sensor of claim 12 , wherein the magnetic particles are embedded within the at least on hydrogel sensor.20. The sensor of claim 12 , wherein the magnetic particles are in a layer on top of the at least one hydrogel sensor.21. The sensor system of claim 12 , wherein the at least one hydrogel sensor is sensitive to an analyte.22. The sensor system of claim 21 , wherein the analyte is protein claim 21 , glucose claim 21 , fructose claim 21 , ionic strength/osmolality claim 21 , oxidative stress claim 21 , hydration claim 21 , pH claim 21 , CO claim 21 , O claim 21 , lactate claim 21 , thrombin claim 21 , fibrinogen claim 21 , factor Xa claim 21 , clotting factor claim 21 , blood anticoagulation factor claim 21 , thrombin-antithrombin complex claim 21 , ...

Skin condition detection method and electronic device

A skin condition detection method and an electronic device are provided. The method includes: acquiring a first image; performing at least one skin condition detection on the first image to acquire at least one first characteristic value; acquiring at least one second characteristic value acquired through the skin condition detection in the second image; determining whether a skin condition in the first image has changed with respect to a skin condition in the second image according to the first characteristic value and the second characteristic value; and if the skin condition in the first image has changed with respect to the skin condition in the second image, outputting notification information to indicate that the skin condition in the first image has changed with respect to the skin condition in the second image. The invention makes it possible to effectively and clearly determine change of the skin condition.

Reconfigurable Sequentially-Packed Ion (Spion) Transfer Device and System

A method of analysis using mass spectrometry or ion mobility spectrometry that includes producing ions from a sample in a proximity of the sample, transferring the produced ions from the sample to a distance with a flexible or re-configurable ion guide, the flexible or re-configurable ion guide being connected to RF voltages, and separating the produced ions with a mass to charge or mobility analyzer located at the distance to provide spectrometric results; and detecting the separated ions with at least one detector. 1. A method for analyzing a sample using mass spectrometry or ion mobility spectrometry , the method comprising:producing gas-phase ions and neutrals from the sample in a proximity of the sample;transferring the produced ions from the sample to a distance via a flexible or re-configurable ion transfer device, the flexible or re-configurable ion transfer device employing RF voltages to transfer the ions;separating the produced ions with a mass spectrometer or a mobility analyzer located at the distance to provide spectrometric results; anddetecting the separated ions with at least one detector.2. The method according to claim 1 , wherein the sample is a biological sample of a human subject or a non-human animal subject claim 1 , or a specimen derived from said human or non-human animal subject.3. The method according to claim 2 , wherein the biological sample is in vivo tissue.4. The method according to claim 2 , further comprising:determining presence, type, grade, stage, or a combination thereof of a disease in one of more regions of the sample that is a biological sample based on the spectrometric results.5. The method according to claim 4 , wherein the determining is performed based on determining one or more biomarkers for the disease in the biological sample.6. The method according to claim 4 , wherein the disease is one or more cancers claim 4 , cancer tumors claim 4 , or tumor margins.7. The method according to claim 1 , further comprising: ...

METHOD OF MEASURING EFFICACY OF TREATMENT FOR AN AUTOIMMUNE DISEASE IN VIVARIUM ANIMALS

A method of measuring efficacy of test treatment of an autoimmune disease in an animal in a vivarium is described. Animal activity data is collected at multiple times during the night. Sequential time regions of the night are identified as high-activity, activity-drop, or low-activity regions. Embodiments are described to quantify a drop, during the night, of an animal's activity level. These quantified activity-drop scalars for consecutive nights are accumulated in an animal health dataset. This dataset is compared to healthy animals, a standard of care or a reference treatment for the first disease to determine efficacy of the test treatment. One embodiment quantifies an activity-drop by fitting straight-line curves through the data in the three nightly regions. Other embodiment uses a Fourier transform on a circle, LASSO, RANSAC or regression analyses for curve fitting. Another embodiment compares areas under data curves in the regions. Animals may be housed in cages with other animals. 1. A method of measuring efficacy of a first treatment of an autoimmune disease in a study animal in a vivarium comprising the steps of:(a) placing the study animal in a cage free of electronic penetrations in the vivarium and enrolling the study animal in a study;(b) electronically observing one or more animal activities in real-time of the study animal using a combination of electronic cameras, infrared (IR) lighting of the study animals, and electronic hardware including computation and communication hardware;(c) selecting a single “activity-drop metric” from the set: {regression analysis, LASSO, RANSAC, Monte Carlo} with an associated scalar “activity-drop value”;(d) collecting a set of “nightly activity data” comprising values of the associated scalar activity drop value from electronically observing the study animal repeatedly and continually for a night;(e) identifying automatically three consecutive time regions in the nightly activity data: a “high-activity region,” an “ ...

TREATMENT OF IRRITABLE BOWEL AND INFLAMMATORY BOWEL DISEASE

The present invention provides compositions and methods of delivery of the compositions, as well as diagnostic method steps that greatly alleviate symptoms associated with IBS and/or IBD. Diagnostic procedures determine a likelihood of one or both of IBS and IBD within a patient. The methods disclosed act to determine relevant biometrics and a cycle time for a specific digestive tract transit time in order to determine a proper dosage amount and potency and a time of administration of the compositions to facilitate delivery of active agents to targeted areas of the GI tract. 1. A method for administration of a therapeutic combination to specific situs within a GI tract of a patient , the method comprising the steps of:a. determining a GI system pass through period;b. determining a body mass of the patient;c. specifying two more situs within the GI tract of the patient for treatment with a first combination of therapeutic agents;{'b': '1', 'd. introducing a first combination of therapeutic agents comprising CBD and terpenes into the GI tract of the patient at a first time (T), said first combination of therapeutic agents included in a capsule with a delayed release mechanism, said delayed release mechanism correlated to one or both of the two more situs within the GI tract of the patient specified for treatment; and'}{'b': 2', '2, 'e. introducing a second combination of therapeutic agents comprising CBD and terpenes into the GI tract of the patient at a second time (T), wherein T is based at least in part upon one of: the GI system pass through period and the body mass of the patient.'}2. The method of wherein the first combination of therapeutic agents comprising CBD and terpenes and the second combination of therapeutic agents comprising CBD and terpenes are equivalent.32. The method of wherein T comprises four or more hours.41. The method of claim 1 , further comprising the step of: inputting into a smart device claim 1 , which smart devices comprises a processor ...

Methods for monitoring physiological status of a body organ

The present invention provides method for monitoring physiological status of an organ in a subject by monitoring morphological changes over time in transplanted tissue on an eye of the subject. 1. A method for monitoring physiological status of an in situ pancreas in a mammalian subject during a course of treatment , comprising monitoring morphological changes over time in transplanted pancreatic islets of Langerhans transplanted on an eye of the subject , wherein the morphological changes over time in the transplanted pancreatic islets tissue on the eye of the subject indicate a physiological status of the in situ pancreas in the mammalian subject in response to the treatment.2. The method of claim 1 , wherein the method is used to monitor efficacy of a course of treatment for a disorder affecting the pancreas.3. The method of claim 2 , wherein the course of treatment comprises administration of a therapeutic to the mammalian subject claim 2 , and wherein the method monitors efficacy of the therapeutic in the subject.4. The method of claim 2 , wherein the course of treatment comprises a diet and/or an exercise regimen claim 2 , and wherein the method monitors efficacy of the diet and/or exercise regimen in the mammalian subject.5. The method of claim 1 , wherein the transplanted pancreatic islets are obtained from the mammalian subject.6. The method of claim 1 , wherein the morphological changes are selected from the group consisting of cell size in the pancreatic islets claim 1 , cell volume in the pancreatic islets claim 1 , cell area in the pancreatic islets claim 1 , cell shape in the pancreatic islets claim 1 , cell death in the pancreatic islets claim 1 , cell proliferation in the pancreatic islets claim 1 , cell mass in the pancreatic islets claim 1 , blood perfusion in the pancreatic islets claim 1 , optical reflectivity of cells in the pancreatic islets claim 1 , and granulation of cells in the pancreatic islets.7. The method of claim 1 , wherein the ...

DETECTION OF OLIGOSACCHARIDES

Provided herein are processes for detecting oligosaccharides in a biological sample. In specific instances, the biological sample is provided from an individual suffering from a disorder associated with abnormal glycosaminoglycan accumulation. 130-. (canceled)31. A method of determining in an individual the presence , identity , and/or severity of an MPS IIIA or MPS IIIB disorder , the method comprising:(a) generating a biomarker comprising one or more saturated non-reducing end oligosaccharides, wherein the biomarker is generated by treating a population of heparan sulfate oligosaccharides, in or isolated from a biological sample from the individual, with at least one digesting glycosaminoglycan lyase, wherein prior to lyase treatment, the biomarker is not present in abundance in samples from individuals with the MPS IIIA or MPS IIIB disorder relative to individuals without the MPS IIIA or MPS IIIB disorder; and(b) using an analytical instrument to detect the presence of and/or measure the amount of the biomarker produced and displaying or recording the presence of or the measure of the biomarker produced;wherein the presence of and/or measure of the amounts of the biomarker are utilized to determine the presence, identity, and/or severity of the MPS III disorder; andwherein the biomarker is selected from a group consisting of{'sub': '3', 'Formula III: [GlcNS-IdoA-GlcN(Ac)0-1](SOR)0-3;'}{'sub': '3', 'Formula IV: [GlcNS-GlcA-GlcN(Ac)0-1](SOR)0-2;'}{'sub': '3', 'Formula V: [GlcNAc-IdoA-GlcN(Ac)0-1](SOR)0-3;'}{'sub': '3', 'Formula VI: [GlcNAc-GlcA-GlcN(Ac)0-1](SOR)0-2;'}{'sub': '3', 'Formula VIII: [GlcN-GlcA-GlcN(Ac)0-1](SOR)0-4;'}{'sub': '3', 'Formula IX: [GlcNAc6S-IdoA-GlcN(Ac)0-1](SOR)0-3;'}{'sub': '3', 'Formula X: [GlcNAc6S-GlcA-GlcN(Ac)0-1](SOR)0-2;'}GlcN-IdoA-GlcNAc;GlcN-IdoA2S-GlcNAc;GlcN-IdoA-GlcNS;GlcN-IdoA-GlcNAc6S;GlcN-IdoA2-GlcNAc6S; andGlcN-IdoA-GlcNS6S.32. The method of claim 31 , wherein the biomarker is of Formula V: [GlcNAc-IdoA-GlcN(Ac)-1](SOR); or ...

PATIENT CARE SYSTEM

Patient care system comprising a medical device () for administering a medical treatment to a patient () and a server system () configured to receive and transmit data via a communications network () to, respectively from users including patients () and health care professionals (), the server system further configured to process and store data related to patient care. The server system comprises a database () configured to encrypt and store encrypted data related to patient care, an application server () including patient care software components for disease management () and patient information management (), a communication server () including a web server software application for data transfer through the internet, the patient care software components operable to receive medical device usage data comprising data on the usage of said medical device transferred through the communications network, and further operable to process said medical device usage data in conjunction with patient data () to generate a report () or a plurality of reports related to the treatment of the patient, the reports being accessible remotely via the communications network by registered users of the patient care system as a function of respective roles and privileges of the registered user stored in the server system. 161.-. (canceled)62115616151566363263232aabcbacf. A patient care system comprising a medical device () for administering a medical treatment to a patient () and a server system () configured to receive and transmit data via a communications network () to and from users including patients () and health care professionals () , the server system further configured to process and store data related to patient care , wherein the server system comprises a database () configured to store data related to patient care , an application server () including patient care software components for disease management () and patient information management program () , a communication server ...

SYSTEM AND METHOD FOR ASSESSING A CANCER STATUS OF BIOLOGICAL TISSUE

A method for assessing a cancer status of biological tissue includes the steps of: obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system; inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; and generating a real-time output indicating the assessed cancer status of the biological tissue. 1. A method for assessing a cancer status of biological tissue , the method comprising the steps of:obtaining a Raman spectrum indicating a Raman spectroscopy response of the biological tissue, the Raman spectrum captured using a fiber-optic probe of a fiber-optic Raman spectroscopy system;inputting the Raman spectrum into a boosted tree classification algorithm of a computer program, and using the boosted tree classification algorithm for comparing, in real-time, the captured Raman spectrum to reference data and assessing the cancer status of the biological tissue based on said comparison, the reference data being previously determined based on a set of reference Raman spectra indicating Raman spectroscopy responses of reference biological tissues wherein each of the reference biological tissues is associated with a known cancer status; andgenerating a real-time output indicating the assessed cancer status of the biological tissue.2. The method of claim 1 , wherein the method is conducted intraoperatively claim 1 , and the step of obtaining the Raman ...

Method And Apparatus To Diagnose The Metastatic Or Progressive Potential Of Cancer, Fibrosis And Other Diseases

A method and apparatus for determining the progressive potential of a disease is disclosed. The forward to backward propagating second harmonic generation signal derived from a second harmonic generation instrument is used to assess the collagen microstructure of imaged body tissue by way of numerical values that are in turn used to determine the progressive or metastatic potential of the disease. The disease may, for example, be a cancer such as breast cancer, lung fibrosis, colorectal adenocarcinoma, or the like. The apparatus may include in vivo instruments or laboratory diagnostic instruments with methods disclosed herein. 1. A method for determining the progressive potential of a disease , the method comprising the steps of:imaging body tissue using a second harmonic generation instrument;determining the ratio of the forward to backward propagating second harmonic generation signal derived from the imaging of the body tissue with the second harmonic generation instrument;assessing the collagen microstructure of the imaged body tissue using the ratio of the forward to backward propagating second harmonic generation signal;comparing the ratio of the forward to backward propagating second harmonic generation signal to the ratio of the forward to backward propagating second harmonic generation signal of other tissue samples; anddetermining the progressive potential of the disease by numerical values derived from the ratio of the forward to backward propagating second harmonic generation signal of the imaged body tissue.2. The method of claim 1 , wherein the body tissue is obtained from a primary tumor biopsy.3. The method of claim 1 , further comprising the step of predicting the duration of metastasis free survival (MFS) from the numerical values derived from the ratio of the forward to backward propagating second harmonic generation signal of the imaged body tissue.4. The method of claim 1 , further comprising the step of predicting the duration of progression ...

IDENTIFICATION OF SURGICAL SMOKE

A method includes assessing tumor margins and discriminating between tumor and non-tumor tissues by analyzing the compositional make-up of smoke produced during cautery resection of tissues. 1. A method for identifying tumor tissue , comprising:contacting tissue with microbubbles comprising a signaling agent;heating the tissue to disrupt the microbubbles and generate gaseous tissue particles; andanalyzing the gaseous tissue particles to determine the presence and concentration of the signaling agent, a signature of the signaling agent, or both.2. The method of claim 1 , wherein the microbubble is a stabilized lipid.3. The method of claim 2 , wherein the signaling agent comprises a solid claim 2 , liquid claim 2 , or gas.4. The method of claim 1 , wherein the signaling agent comprises a perfluorinated compound.5. The method of claim 4 , wherein the perfluorinated compound is a C-Cperfluoroalkane.6. The method of claim 5 , wherein the perfluorinated compound is perfluoroethane claim 5 , perfluoropropane claim 5 , perfluoro-isopropane claim 5 , perfluorobutane claim 5 , perfluoro-isobutane claim 5 , perfluoro-tertiarybutane claim 5 , perfluoropentane claim 5 , perfluoro-isopentane claim 5 , or perfluoro-neopentane.7. The method of claim 1 , wherein the heating comprises cauterizing claim 1 , superheating claim 1 , vaporizing claim 1 , ionizing claim 1 , or combusting.8. The method of claim 7 , wherein the heating comprises cauterizing by contacting the tumor tissue with a cautery device.9. The method of claim 7 , wherein the cautery device is a radio frequency cautery device claim 7 , a thermal cautery device claim 7 , or an electronic cautery device.10. The method of claim 1 , wherein the signature of the signaling agent is a thermal breakdown product of the signaling agent upon heating of the microbubble comprising the signaling agent.11. The method of claim 1 , wherein the analyzing of the gaseous tissue particles is performed continuously in real-time.12. The ...

Method and apparatus for the non-invasive measurement of tissue function and metabolism by determination of steady-state fluorescence anisotropy

A non-invasive measurement of biological tissue reveals information about the function of that tissue. Polarized light is directed onto the tissue, stimulating the emission of fluorescence, due to one or more endogenous fluorophors in the tissue. Fluorescence anisotropy is then calculated. Such measurements of fluorescence anisotropy are then used to assess the functional status of the tissue, and to identify the existence and severity of disease states. Such assessment can be made by comparing a fluorescence anisotropy profile with a known profile of a control.

METHODS FOR EVALUATING PATIENTS

Methods for evaluating subjects having conditions associated with loss of muscle function (e.g., a motor neuron disease, a neuromuscular disease, or a myopathy) by measuring muscle function (e.g., muscle strength) are disclosed. 2. The method of claim 1 , further comprising claim 1 , comparing the value for Twith a reference value claim 1 , and claim 1 , optionally claim 1 , responsive to the value for T claim 1 , classifying the subject.3. (canceled)4. The method of claim 1 , further comprising determining if the value for ZMF Factor or Muscle Function claim 1 , is a Zero Function Value; or comparing the value for ZMF Factor or Muscle Function with a reference value to determine if the muscle has reached Zero Function.5. (canceled)6. The method of claim 1 , comprising providing a value for Muscle Function or for a Zero Muscle Function Factor (ZMF Factor):) once, twice, three times, four times, five times, six times, seven times, eight times, nine times, or ten or more times; orii) once a month for at least 1, 2, 3, 4, 5, 6, 12, 18, or 24 or more months.7. (canceled)8. The method of claim 1 , further comprising claim 1 , responsive to the value for ZMF Factor or Muscle Function claim 1 , classifying the subject.911-. (canceled)12. The method of claim 1 , wherein the disease associated with loss of muscle function is a motor neuron disease claim 1 , neuromuscular disorder claim 1 , or a myopathy.13. The method of claim 1 , wherein the disease associated with loss of muscle function is one or more selected from: amyotrophic lateral sclerosis (ALS) claim 1 , spinal muscular atrophy (SMA) claim 1 , spinobulbar muscular atrophy (SBMA) claim 1 , polymyositis claim 1 , inclusion body myositis claim 1 , a motor neuropathy claim 1 , and distal hereditary motor neuropathy.1415.-. (canceled)16. The method of claim 1 , wherein the value for Muscle Function or for a ZMF Factor for a muscle of the subject is measured by or expressed as one or more of:a) the ability to exert force ...

IMAGE PROCESSING DEVICE AND METHOD OF OPERATING THE SAME

A disease-related processing section performs at least one of the calculation of an index value related to a stage of ulcerative colitis, the determination of the stage of the ulcerative colitis, or the determination of whether or not the ulcerative colitis has remitted, on the basis of the denseness of superficial blood vessels, intramucosal hemorrhage, and extramucosal hemorrhage obtained from a medical image. 1. An image processing device comprising:a processor configured to:acquire a medical image obtained from image pickup of an object to be observed; andperform at least one of calculation of an index value related to a stage of ulcerative colitis, determination of the stage of the ulcerative colitis, or determination of whether or not the ulcerative colitis has remitted, on the basis of denseness of superficial blood vessels, intramucosal hemorrhage, and extramucosal hemorrhage obtained from the medical image.2. The image processing device according to claim 1 ,wherein the processor further configured to:classify the denseness of the superficial blood vessels, the intramucosal hemorrhage, and the extramucosal hemorrhage depending on a frequency characteristic or a luminance value obtained from the medical image; anddetermine whether or not the ulcerative colitis has remitted according to the classification.3. The image processing device according to claim 1 , wherein the processor further configured to:calculate a frequency component-space distribution from the medical image;extract a first frequency characteristic region having a first frequency characteristic;extract a second frequency characteristic region having a second frequency characteristic having a frequency higher than a frequency of the first frequency characteristic;extract a third frequency characteristic region having a third frequency characteristic having a frequency higher than the frequency of the second frequency characteristic on the basis of the frequency component-space distribution; ...

EFFICIENT AND LIGHTWEIGHT PATIENT-MORTALITY-PREDICTION SYSTEM WITH MODELING AND REPORTING AT TIME OF ADMISSION

This disclosure describes a “lightweight” model configured to accurately predict a patient's death within six months of hospital admission using only a limited number of data inputs. In some examples, a computing system executes a mortality prediction engine configured to apply a machine-learning model trained to predict mortality of the patient at a time period after admission of the patient, wherein the machine-learning model is trained based on training data that configures the mortality prediction engine to predict the mortality of the patient using a set of data parameters consisting of only: (1) data parameters available at admission of the patient, (2) a data parameter indicative of presence of a metastatic disease in the patient and (3) a data parameter indicative of presence of at least one active tumor in the patient. 1. A system comprising:a data repository configured to store one or more of a set of patient data parameters for a patient; and data parameters available at admission of the patient;', 'data parameters indicative of a presence of a metastatic disease in the patient; or', 'data parameters indicative of a presence of at least one active tumor in the patient., 'a computing system executing a mortality prediction engine configured to apply a machine learning model trained to predict mortality of the patient at a time period after admission of the patient, wherein the machine learning model is trained based on training data that configures the mortality prediction engine to predict the mortality of the patient using one or more of the set of data parameters, wherein the set of data parameters consists only of data parameters that meet at least one of the following criteria2. The system of claim 1 , wherein the data parameters available at admission of the patient consist only of data parameters from a Complete Metabolic Panel (CMP) and data parameters from a Complete Blood Count (CBC).3. The system of claim 1 , wherein the data parameters ...

INDICATOR DEVICE, MEASURING APPARATUS WITH INDICATOR DEVICE AND COMPUTER PROGRAM PRODUCT FOR EVALUATING THE INDICATOR DEVICE

An indicator device represents a measured value and includes a first component and a second component. The first component includes a machine-readable first reference marker, a machine-readable second reference marker spaced from the first reference marker and a guide for the second component. The first reference marker defines a first reference point and the second reference marker defines a second reference point. The position and orientation of a predetermined path are defined by the first reference point and the second reference point. The second component can be positioned along the guide by a displacement force. The second component alone, or together with the first component, forms a machine-readable value indicator. The measured value is represented by a position of the value indicator along the predetermined path. The disclosure also relates to a measuring apparatus comprising the indicator device. The disclosure also relates to a computer program product for evaluating the indicator device of the measuring apparatus. 1. An indicator device for representing a measured value , said indicator device comprising:a first component and a second component;said second component being movable with respect to the first component, said first component including a machine-readable first reference marker, a machine-readable second reference marker spaced from the machine-readable first reference marker, and a guide for the second component;wherein the machine-readable first reference marker defines a first reference point and the machine-readable second reference marker defines a second reference point, and wherein a position and orientation of a predetermined path are defined by the machine-readable first reference point and the machine-readable second reference point;wherein the second component is positionable along the guide by a displacement force; andwherein the second component alone, or along with the first component, forms a machine-readable value indicator, a ...

SYSTEMS AND METHODS FOR SUBJECT MONITORING

The present disclosure provides systems and methods for collecting and analyzing vital sign information to predict a likelihood of a subject having a disease or disorder. In an aspect, a system for monitoring a subject may comprise: sensors comprising an electrocardiogram (ECG) sensor, which sensors are configured to acquire health data comprising vital sign measurements of the subject over a period of time; and a mobile electronic device, comprising: an electronic display; a wireless transceiver; and one or more computer processors configured to (i) receive the health data from the sensors through the wireless transceiver, (ii) process the health data using a trained algorithm to generate an output indicative of a progression or regression of a health condition of the subject over the period of time at a sensitivity of at least about 80%, and (iii) provide the output for display to the subject on the electronic display. 164.-. (canceled)65. A system for monitoring a subject , comprising:one or more sensors comprising an electrocardiogram (ECG) sensor, which one or more sensors are configured to acquire health data comprising a plurality of vital sign measurements of the subject over a period of time; and an electronic display;', 'a wireless transceiver; and', 'one or more computer processors operatively coupled to the electronic display and the wireless transceiver, which one or more computer processors are configured to (i) receive the health data from the one or more sensors through the wireless transceiver, (ii) process the health data using a trained algorithm to generate an output indicative of a progression or regression of sepsis of the subject over the period of time at a sensitivity of at least about 75%, and (iii) provide the output for display to the subject on the electronic display., 'a mobile electronic device, comprising66. The system of claim 65 , wherein the ECG sensor comprises one or more ECG electrodes.67. The system of claim 66 , wherein the ...

DEVICE AND METHOD FOR ASSESSING PERIPHERAL EDEMA

A method of measuring edema (e.g., peripheral edema and/or lymphedema) is described. The method involves directing a pulse of compressed air or other gas at a skin surface and determining the level of edema using processed camera images of the skin surface after indentation with the compressed air or other gas. The method can be completed within minutes, is simple to perform, and is free of user bias. Devices and systems for measuring edema and/or one or more skin-related properties are also described. The devices can be portable and suitable for use in medical or veterinary settings as well as for in-home/personal use. 1. A device for measuring edema and/or one or more skin-related properties , optionally wherein the one or more skin-related properties are selected from elasticity , thickness , quality , age , or hydration level , said device comprising:(a) a nozzle configured for directing at least one pulse of compressed air or other gas from a first end of said nozzle to a first portion of a skin surface of a subject; and(b) one or more camera configured to record one or more images of the first portion of the skin surface.2. The device of claim 1 , further comprising a housing claim 1 , wherein said housing comprises a first opening for the first end of the nozzle and at least a second opening for one or more lens of the one or more camera claim 1 , optionally wherein said housing comprises a thermoplastic or thermosetting polymer.3. The device of claim 2 , where said housing further comprises a positioning arm claim 2 , wherein said positioning arm extends from a main body of the housing and wherein claim 2 , when an end of said positioning arm is placed directly adjacent to a second portion of the skin surface of the subject claim 2 , said positioning arm controls one or more of the group consisting of a first distance at which the first end of the nozzle is positioned relative to the first portion of the skin surface of the subject; a first angle at which ...

Method of Detection of Neurodegenerative Diseases by Breath Analysis

Analysis of a breath sample is a noninvasive point-of-care tool with ever increasing clinical applicability. Herein we describe a method to analyze the content of low-level, trace volatile organic compounds from alveolar breath captured as a breath sample from a patient. The breath sample is then analyzed using a gas phase analysis methodology, such as gas chromatography-mass spectroscopy (“GCMS”), to generate an analysis result, such as a GCMS spectrum. A computer system is then used to develop a fingerprint pattern from the analysis result. The fingerprint pattern is then used to determine a patient status for the patient. The fingerprint pattern is typically a grouping of 75 to 450 compounds of known concentration which are indicative of a particular neurodegenerative disease. 1. A method comprising:collecting a breath sample from a patient in a sterile sampling vessel;analyzing the breath sample using at least one gas phase analysis methodology to generate an analysis result; and resolving a fingerprint pattern from the analysis result; and', 'determining a patient status related to a neurodegenerative disease for the patient based on the fingerprint pattern., 'using a computer system2. The method of claim 1 , wherein the sterile sampling vessel contains a carbon dioxide sensor.3. The method of claim 1 , wherein the sterile sampling vessel is a commercially available breath sampler.4. The method of claim 1 , wherein the sterile sampling vessel includes an absorbent material selected from the group consisting of solid-state adsorbent and thin film adsorbent media5. The method of claim 4 , further comprising using thermal adsorption techniques to release the breath sample from the absorbent material.6. The method of claim 1 , wherein the at least one gas phase analysis methodology is selected from the group consisting of gas chromatography claim 1 , mass spectrometry claim 1 , and gas chromatography-mass spectrometry.7. The method of claim 1 , wherein the ...

METHOD AND SYSTEM FOR CAPTURING PATIENT FEEDBACK FOR A MEDICAL TREATMENT

A method for capturing patient feedback for a medical treatment includes: receiving user instructions indicating a symptom being treated, a symptom score for the symptom being treated, and an indication of a beginning of a treatment session; receiving patient feedback comprising an updated symptom score for the symptom being treated and/or absence or presence of one or more of a plurality of attributes; storing the received patient feedback and a time in the treatment session at which the respective patient feedback was received; repeating the receiving of patient feedback and storage of data during the treatment session; and receiving a user instruction indicating an ending of the treatment session, wherein an alerting module alerts a user of the computing device for input of patient feedback after a predetermined period of time has elapsed following receipt of patient feedback without a subsequent receipt of patient feedback. 1. A method for capturing patient feedback for a medical treatment , comprising:receiving, by an input device interfaced with a computing device, a plurality of user instructions indicating at least a symptom being treated, a symptom score for the symptom being treated, and an indication of a beginning of a treatment session;receiving, by the input device interfaced with the computing device, patient feedback comprising at least one of: an updated symptom score for the symptom being treated and absence or presence of one or more of a plurality of attributes;executing, by a querying module of the computing device, a query on a memory of the computing device to store, in the memory of the computing device, the received patient feedback and a time in the treatment session at which the respective patient feedback was received;repeating the receiving of patient feedback and executing steps one or more times during the treatment session; andreceiving, by the input device interfaced with the computing device, a user instruction indicating an ending ...

Computerized Risk-driven Appointment Management and Reimbursement Optimization

Disclosed is a system for optimizing risk scores of patients in a patient panel and prioritizing appointments based on the optimized risk scores of each patient subscribed to the service provider. After assigning an initial risk score, the risk score of each patient is optimized by determining any discrepancy between a risk score determined by a rules engine and each patient's assigned risk score, and assigning a patient an optimized risk score, which includes the risk score determined by the rules engine where such discrepancy is determined or the patient's assigned risk score where no such discrepancy is determined. Appointments can be prioritized in accordance with the risk scores for the patient. 1. A method enacted by a system comprising a software agent which includes rules engines , databases and communication interfaces , and connecting rules engines , databases and communication interfaces , wherein the system performs the following steps using the software agent , includes rules engines , databases and communication interfaces:assigning, to each patient in a patient panel, initial risk scores based on the patient's diagnosis and on hierarchical condition categories and/or ICD-10 codes;extracting, integrating and storing patient data, including patient diagnosis and treatment(s);transferring stored data to a data warehouse for: mapping, to identify the data source; data processing, under a rule providing data configurations; and data normalization;determining a risk adjustment factor for patients for whom there is a discrepancy between perceived risk and the assigned risk scores;determining if the risk adjustment factor represents a likely understatement of perceived risk and alerting the system user of the likely understatement;categorizing a provider's engagement opportunities with each patient, where engagement opportunities are additional patient interactions for which reimbursement from insurance or Medicare would be available, based on the patient's ...

Tool that Analyzes Image Data and Generates and Displays a Confidence Indicator Along with a Cancer Score

A novel cancer scoring tool not only generates a score, but it also generates and confidence number. The tool receives a digital image of tissue of a patient. The tool identifies cell objects in the image and from that determines a first score. The magnitude of this first score is indicative of the severity of cancer in the tissue of the patient. The tool uses an overall false negative rate value and an overall false positive rate value to generate a set of second scores. The rate values are determined from training information. From the second scores, the tool determines the confidence number. The confidence number indicates the confidence the tool has in the first score being correct. The first score and an indication of the confidence number and the digital image are all displayed together on the display of the tool. 1. A method involving a cancer scoring tool , the method comprising:(a) storing a false negative rate value and a false positive rate value for cell objects in the tool;(b) receiving a digital image into the tool, wherein the digital image is an image of a tissue sample of a cancer patient;(c) analyzing the digital image using a computerized cell identification procedure and thereby identifying a plurality of cell objects;(d) storing first information, wherein the first information stored in (d) is indicative of the plurality of cell objects identified in (c);(e) applying a scoring procedure on the first information thereby determining a first score;(f) adding a first number of cell objects to the plurality of cell objects identified in (c), wherein the first number is determined based on the false negative rate value;(g) subtracting a second number of the cell objects identified in (c), wherein the second number is determined based on the false positive rate value;(h) storing second information, wherein the second information stored in (h) is indicative of the plurality of cell objects identified in (c) as added to in (f) and as subtracted from in ( ...

Method for Detection of a Relapse Into a Depression or Mania State Based on Activity Data and/or Data Obtained by Questioning the Patient

The invention relates to a method for detection of a relapse into a depression or mania state of a patient from a remission state wherein motor activity data is recorded using a wearable device worn by the patient and is received as input data by an evaluating unit and/or mood data is acquired by obtaining a questionnaire which has been completed by the patient, the questions of the questionnaire relating to the mania state, to the depression state and the questionnaire including at least one control question for checking the awareness and/or the ability to focus of the patient, the questions being designed such that they can be answered by multiple choice, and wherein the answers of the patient are input as input data into the evaluating unit, the input data is analyzed by the evaluating unit, wherein the condition of the patient is classified as remission, mania or depression by means of machine learning, and wherein a relapse is detected if the patient is classified as mania or depression. 1. Method for detection of a relapse into a depression or mania state of a patient from a remission state wherein i) motor activity data is recorded using a wearable device worn by the patient and is received as input data by an evaluating unit and/or ii) mood data is acquired by obtaining a questionnaire which has been completed by the patient , the questions of the questionnaire relating to the mania state , to the depression state and the questionnaire including at least one control question for checking the awareness and/or the ability to focus of the patient , the questions being designed such that they can be answered by multiple choice , and wherein the answers of the patient are input as input data into the evaluating unit , the input data is analyzed by the evaluating unit , wherein the condition of the patient is classified as remission , mania or depression by means of machine learning , and wherein a relapse is detected if the patient is classified as mania or ...

Autonomous diagnosis of ear diseases from biomarker data

A fully autonomous system is used to diagnose an ear infection in a patient. For example, a processor receives patient data about a patient, the patient data comprising at least one of: patient history from medical records for the patient, one or more vitals measurements of the patient, and answers from the patient about the patient's condition. The processor receives a set of biomarker features extracted from measurement data taken from an ear of the patient. The processor synthesizes the patient data and the biomarker features into input data, and applies the synthesized input data to a trained diagnostic model, the diagnostic model comprising a machine learning model configured to output a probability-based diagnosis of an ear infection from the synthesized input data. The processor outputs the determined diagnosis from the diagnostic model. A service may then determine a therapy for the patient based on the determined diagnosis.

Systems and Methods for Monitoring Eye Health

Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device. 1. A system for monitoring eye health , the system comprising: a scleral strain monitor comprising i) one or more image sensors,', 'ii) a CPU,', 'iii) a memory storage device,', 'iv) one or more connecting wires, and', 'v) a power source;, 'a) a wearable device comprisingwherein the one or more image sensors monitor a scleral stretch corresponding to changes in distance between two or more preselected target regions on or in a sclera of the eye of a user by recording at least two photographic images of the eye of the user, each of the at least two photographic images recorded at different times, andwherein the CPU receives the at least two photographic images from the one or more image sensors and determines changes in distance between the two or more preselected target regions based on changes in the at least two photographic images, then transmits the at least two photographic images to the memory storage device.2. The system of claim 1 , wherein the wearable device is a pair of eyeglass frames comprising the one or more image sensors claim 1 , the CPU claim 1 , the memory storage device claim 1 , the one or more connecting wires claim 1 , and the power source.3. The system of claim 1 , wherein the wearable device further comprises a component for determining an angle of a recline of the user.4. The system of claim 3 , wherein the component is an accelerometer.5. The system of claim 1 , wherein the two or more preselected target regions are two separated symmetric implanted objects claim 1 , two separated asymmetric implanted objects claim 1 , two separated symmetric objects claim 1 , two separated asymmetric objects or two distinct sclera regions.6. The system of claim 5 , wherein the separated symmetric ...

SYSTEM AND METHOD FOR IDENTIFYING A FOCAL AREA OF FUNCTIONAL PATHOLOGY IN ANESTHETIZED SUBJECTS WITH NEUROLOGICAL DISORDERS

The present disclosure relates to identification of focal areas of abnormal interactions in a brain of an anesthetized subject. During the maintenance period of anesthesia and/or the post-emergence period of anesthesia, neurophysiological time series signals from two or more areas of the brain of the subject can be recorded. A system that includes a processor can receive these signals, estimate a percentage of time (POT) each of the two or more areas of the brain of the subject exhibits a maximum total effective inflow (TEI) of information, and localize one or more focal areas of abnormal brain interactions based on the POT of each of the at least two areas exhibiting maximum TEI. 1. A method comprising:receiving, by a system comprising a processor, neurophysiological time series signals from two or more areas of a brain of an anesthetized subject, wherein the anesthetized subject is in a maintenance period of anesthesia and/or a post-emergence period of anesthesia;estimating from the signals, by the system, a percentage of time (POT) each of the two or more areas of the brain of the subject exhibits a maximum total effective inflow (TEI) of information; andlocalizing, by the system, one or more focal areas of abnormal brain interactions based on the POT of the areas exhibiting maximum TEI.2. The method of claim 1 , wherein each of the signals comprise time series data corresponding to the two or more areas of the brain of the subject.3. The method of claim 1 , wherein the signals are recorded from the brain of the subject twelve hours or less after administration of an anesthetic agent.4. The method of claim 1 , wherein a treatment plan is developed for the abnormal brain interactions based on the one or more focal areas claim 1 , wherein the treatment plan comprises at least one of surgery and neuromodulation.5. The method of claim 1 , wherein the estimating further comprises:determining an information inflow corresponding to each of the two or more areas of the ...

SYSTEM AND METHOD FOR CLASSIFYING AUTOSOMAL DOMINANT POLYCYSTIC KIDNEY DISEASE PATIENTS

An apparatus and computerized method of classifying a patient that has been previously diagnosed to have autosomal dominant polycystic kidney disease (ADPKD) includes providing a computing device having an input/output interface, one or more processors and a memory; receiving a total kidney volume (TKV), a patient height, and a patient age for the patient via the input/output interface; determining a height adjusted TKV (HtTKV) based on the total kidney volume and the patient height using the one or more processors; determining an ADPKD classification for the patient based on the height adjusted TKV and the patient age using the one or more processors; and providing the ADPKD classification for the patient via the input/output interface. 1. A computerized method of classifying a patient that has been previously diagnosed to have autosomal dominant polycystic kidney disease (ADPKD) comprising:providing a computing device having an input/output interface, one or more processors and a memory;receiving a total kidney volume (TKV), a patient height, and a patient age for the patient via the input/output interface;determining a height adjusted TKV (HtTKV) based on the total kidney volume and the patient height using the one or more processors;determining an ADPKD classification for the patient based on the height adjusted TKV and the patient age using the one or more processors; andproviding the ADPKD classification for the patient via the input/output interface.2. The method of claim 1 , further comprising:receiving a serum creatinine, a race, a gender, and a future time via the input/output interface;determining a current eGFR based on the serum creatinine, the patient age and, the patient race and the patient gender using the one or more processors;determining a future eGFR based on the current eGFR, the ADPKD classification and the future time using the one or more processors; andproviding the current eGFR and the future eGFR for the patient via the input/output ...

DAILY COGNITIVE MONITORING OF EARLY SIGNS OF HEARING LOSS

In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The embodied program instructions are executable by a processing circuit to cause the processing circuit to receive collected data from one or more data collection devices. The collected data is aggregated over a period of time lasting at least one month, and the collected data includes audio data of a user of the one or more data collection devices. The embodied program instructions also cause the processing circuit to store the audio data to a computer readable storage medium. Moreover, the embodied program instructions cause the processing circuit to analyze the audio data for indications of hearing loss in the user over the period of time. 1. A system , comprising: receive collected data from one or more data collection devices, the collected data being aggregated over a period of time lasting at least one month, wherein the collected data comprises audio data of a user of the one or more data collection devices;', 'store the audio data to a computer readable storage medium; and', 'analyze the audio data for indications of hearing loss in the user over the period of time., 'a processing circuit and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor, the logic being configured to cause the processing circuit to2. The system as recited in claim 1 , wherein the logic is further configured to cause the processing circuit to:determine metadata about the audio data, the metadata comprising at least an identification of the user and a timestamp for the audio data; andstore the metadata with the audio data as a tuple having two or more values.3. The system as recited in claim 2 , wherein the metadata further comprises information selected from a group comprising: a speaking volume of the user during a conversation claim 2 , a second speaking volume of another party the ...

Systems and Methods for Analyzing Health Care Data to Improve Billing and Decision Processes

A method is described herein comprising providing an electronic interface for collecting health care data, wherein the electronic interface integrates with one or more data collection applications of a provider. The method includes receiving malnutrition data of at least one patient through the electronic interface, wherein the electronic interface comprises at least one question relating to malnutrition of the at least one patient. The method includes assessing a malnutrition score for the at least one patient through assessment of the malnutrition data. The method includes adding a malnutrition problem to one or more electronic medical records of the at least one patient when the malnutrition score exceeds a threshold, the adding the problem including updating data intake workflow of the one or more data collection applications to present a malnutrition progress note of the at least one patient to at least one authorized party. 1. A method comprising ,providing an electronic interface for collecting health care data, wherein the electronic interface integrates with one or more data collection applications of a provider;receiving malnutrition data of at least one patient through the electronic interface, wherein the electronic interface comprises at least one question relating to malnutrition of the at least one patient, wherein the health care data includes the malnutrition data;assessing a malnutrition score for the at least one patient through assessment of the malnutrition data;adding a malnutrition problem to one or more electronic medical records of the at least one patient when the malnutrition score exceeds a threshold, the adding the problem including updating data intake workflow of the one or more data collection applications to present a malnutrition progress note of the at least one patient to at least one authorized party, the presenting the malnutrition progress note including populating malnutrition progress note fields using data of the ...

INFORMATION PROCESSING SYSTEM AND PROGRAM

An information processing system is provided to reduce labor of medical staff in determining heart failure stage. The information processing system is configured to execute: a reading step of reading out an input first electrocardiogram including an electrocardiogram of a user; and a determination step of determining a heart failure stage of the user based on the first electrocardiogram and reference information, wherein the reference information is information showing a relationship between the second electrocardiogram, including the electrocardiogram obtained beforehand, in which the heart failure stage has been determined by the physician, and a feature quantity of the heart failure, wherein: the reference information is a learned model in which the feature quantity of the heart failure is learned from the second electrocardiogram, and the learned model is a model that learned a content determined in the determination step and corresponding clinical data.

Systems and methods for treating and estimating progression of chronic kidney disease

Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

SYSTEMS AND METHODS FOR MONITORING EYE HEALTH

Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device. 1. A system for monitoring eye health comprising: a scleral strain monitor adapted to be implanted in an eye , the scleral strain monitor comprisinga) at least first and second anchor spaced-apart members, the first and second anchor members configured to be secured to respective first and second anchor locations on or in the sclera, the first and second anchor members being movable with respect to one another;b) a sensor comprising a plurality of resistive elements, configured tea measure electrical resistance between two electrical conductors, and to generate a signal representing said electrical resistance;c) a transmitter configured to transmit the signal; andd) a reader adapted to be located outside the eye, the reader being configured to receive information transmitted by the transmitterwherein the sensor is configured to measure scleral strain based at least in part on a displacement between the first and second anchor members.2. The system of claim 1 , wherein a highly elastic material is disposed between the first and second anchor members.3. The system of claim 1 , wherein a fluid is disposed between the first and second anchor members.4. The system of claim 1 , wherein the first anchor is connected to a resistor housing and the second anchor member is connected to a component housing.5. The system of claim 1 , further comprising an intraocular lens claim 1 , the sensor being coupled to the intraocular lens.6. The system of claim 1 , further comprising an implantable plate claim 1 , the sensor being coupled to the implantable plate.7. The system of claim 1 , further comprising a haptic claw claim 1 , the sensor being coupled to the haptic claw.8. The system of claim 1 , wherein the sensor is located ...

SYSTEMS AND METHODS FOR MONITORING EYE HEALTH

Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device. 1. A system for monitoring eye health , the system comprising: a scleral strain monitor comprising i) one or more image sensors,', 'ii) a CPU,', 'iii) a memory storage device,', 'iv) one or more connecting wires, and', 'v) and a power source;, 'a) a wearable device comprising'}wherein the one or more image sensors monitor at least one preselected target region on or in the sclera of a wearer, andwherein the CPU receives images from the image sensors and then transmits the images or related data derived from the images to the memory storage device.2. The system of claim 1 , wherein the wearable device is a pair of eyeglasses.3. The system of claim 1 , wherein the wearable device further comprises a component for determining the angle of recline of the wearer.43. The system of claim 1 , wherein the component is an accelerometer.5. The system of claim 1 , wherein the at least one preselected target region are two separated symmetric implanted objects claim 1 , two separated asymmetric implanted objects claim 1 , two separated symmetric objects claim 1 , two separated asymmetric objects or two distinct sclera regions.6. The system of claim 5 , wherein the two separated symmetric objects comprise two dots and the two separated asymmetric objects comprise a dot and an arc claim 5 , wherein the two separated symmetric objects and the two separated asymmetric objects comprise markers claim 5 , the markers comprising ink or dye claim 5 , and the system further comprising a dual marking tool for applying markers to the surface of an eye as two markers that are separated by a fixed distance predetermined with the dual marking tool.7. The system of claim 1 , wherein the one or more image sensors comprise 2 claim 1 , 3 or ...

Systems and methods for monitoring eye health

Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device. Certain embodiments of the strain monitor may be utilized to measure the strain on any surface to which it is attached, including, but not limited to, the skin of a patient or the surface of a structure such as a building or a bridge.

METHODS AND SYSTEMS FOR PATIENT BASELINE ESTIMATION

The present disclosure is directed to systems and methods for developing an individual-specific patient baseline for a target patient. An exemplary method involves: determining one or more acuity scores for the target patient; identifying patient health data corresponding to one or more low acuity time periods; storing retrospective clinical data from a group of patients in a second database; comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients by identifying one or more patient subgroups; determining the individual-specific patient baseline using an adaptive baseline selection algorithm, wherein the adaptive baseline selection algorithm is used to determine whether to determine the individual-specific patient baseline using patient health data or using retrospective clinical data from one or more patient subgroups; and displaying, using a user interface, the individual-specific patient baseline. 1. A computer implemented method for developing an individual-specific patient baseline for a target patient , comprising:determining one or more acuity scores for the target patient, wherein the one or more acuity scores vary based on time;identifying one or more low acuity time periods corresponding to one or more low acuity scores;retrieving patient health data from the target patient regarding one or more health factors;identifying patient health data corresponding to the one or more low acuity time periods;storing patient health data corresponding to the one or more low acuity time periods in a first database;storing retrospective clinical data from a group of patients regarding at least the one or more health factors in a second database;comparing the patient health data corresponding to the one or more low acuity time periods with retrospective clinical data from a group of patients regarding the one or more health factors by identifying one or more patient subgroups, ...

SYSTEMS AND METHODS FOR SEPSIS DETECTION AND MONITORING

The present disclosure provides systems and methods for collecting and analyzing vital sign information to predict a likelihood of a subject having a disease or disorder. In an aspect, a system for monitoring a subject may comprise: sensors comprising an electrocardiogram (ECG) sensor, which sensors are configured to acquire health data comprising vital sign measurements of the subject over a period of time; and a mobile electronic device, comprising: an electronic display; a wireless transceiver; and one or more computer processors configured to (i) receive the health data from the sensors through the wireless transceiver, (ii) process the health data using a trained algorithm to generate an output indicative of a progression or regression of a health condition of the subject over the period of time at a sensitivity of at least about 80%, and (iii) provide the output for display to the subject on the electronic display. 1104.-. (canceled)105. A system for monitoring a subject , comprising:one or more sensors comprising an electrocardiogram (ECG) sensor, which one or more sensors are configured to acquire health data comprising a plurality of vital sign measurements of the subject over a period of time; and an electronic display;', 'a wireless transceiver; and', 'one or more computer processors operatively coupled to the electronic display and the wireless transceiver, which one or more computer processors are configured to (i) receive the health data from the one or more sensors through the wireless transceiver, (ii) process the health data using a trained algorithm to generate an output indicative of a progression or regression of sepsis of the subject over the period of time at an Area Under the Receiver Operating Characteristic (AUROC) of at least about 0.70, and (iii) provide the output for display to the subject on the electronic display., 'a mobile electronic device, comprising106. The system of claim 105 , wherein the ECG sensor comprises one or more ECG ...

Methods, systems, and apparatus for identifying and tracking involuntary movement diseases

Methods that can that can identify involuntary movement diseases are provided. One method includes sensing, by a set of sensors of a computing device, behavior of a user while the user interacts with the computing device and identifying, by a processor of the computing device, involuntary movement patterns for the user based on one or more characteristics of the sensed behavior. Systems and apparatus that can include, perform, and/or implement the methods are also provided.

SYSTEM AND METHOD FOR REPRESENTING AN ARRANGED LIST OF PROVIDER ALIMENT POSSIBILITIES

A system for representing an arranged list of provider aliment possibilities, the system including a computing device designed and configured to receive an input representing an autoimmune disorder; identify a marker of the user relating to the autoimmune disorder; detect a trigger pattern as a function of the marker; determine, as a function of the trigger pattern, an aliment instruction set, wherein determining includes identifying at least a probable event as a function of the trigger pattern; and determining the aliment instruction set as a function of the at least a probable event; and represent the aliment instruction set on a display.

METHOD AND SYSTEM FOR GENERATING A BIOMARKER QUANTIFYING SPATIAL HOMOGENEITY OF A MEDICAL PARAMETER MAP

In a method for generating a biomarker quantifying spatial homogeneity of a medical parameter map, A) the parameter map is provided, B) at least two parameter classes are provided, where each parameter value is to be assigned to a parameter class, C) a sub-area of the examination area is selected, D) in each case, a frequency value for each parameter class for the sub-area is determined, E) a heterogeneity indicator for the sub-area is determined based on the frequency values of the parameter classes, F) further heterogeneity indicators are generated for at least two further sub-areas that are at least partially different from one another, G) a statistical homogeneity value is determined by statistical evaluation of the heterogeneity indicator of the sub-area and the further heterogeneity indicators, and H) the statistical homogeneity value is provided as a biomarker. 1. A method for generating a biomarker quantifying spatial homogeneity of a medical parameter map , wherein the parameter map in each case has a parameter value for a plurality of voxels mapping an examination area , the method comprising:A) providing the parameter map;B) providing at least two parameter classes, wherein each parameter value is to be assigned to a parameter class;C) selecting a sub-area of the examination area;D) determining, in each case, a frequency value for each parameter class for the sub-area, the frequency value indicating a proportion of the parameter values occurring the respective parameter class in the sub-area;E) determining a heterogeneity indicator for the sub-area based on the frequency values of the parameter classes;F) repeating operations C), D), and E) for at least two further sub-areas to generate further heterogeneity indicators for the at least two further sub-areas, wherein the at least two further sub-areas are at least partially different from one another;G) statistically evaluating the heterogeneity indicator of the sub-area and the further heterogeneity ...

SYSTEM AND METHOD FOR VESSEL ARCHITECTURAL IMAGING

A system and method for generating a report regarding a vascular health status of a subject being imaged using a magnetic resonance imaging (MRI) system includes receiving a plurality of MRI datasets, each MRI dataset acquired from the a portion of the subject including a vascular structure. The process also includes analyzing the MRI datasets to identify at least one of a temporal shift and a MR signal variation between the MRI datasets, correlating the at least one of the temporal shift and the MR signal variation to a vascular health status, and generating a report indicating the vascular health status of the subject. 1. A method for generating a report regarding a vascular health status of a subject being imaged using a magnetic resonance imaging (MRI) system , the method comprising:receiving a plurality of MRI datasets, each MRI dataset acquired from the a portion of the subject including a vascular structure;analyzing the MRI datasets to identify at least one of a temporal shift and a MR signal variation between the MRI datasets;correlating the at least one of the temporal shift and the MR signal variation to a vascular health status; andgenerating a report indicating the vascular health status of the subject.2. The method of wherein the plurality of MRI datasets were acquired using at least two different pulse sequences.3. The method of wherein the pulse sequences include at least a spin-echo pulse sequence and a gradient-echo pulse sequence.4. The method of further comprising reconstructing respective images of the subject form each of the MRI datasets and creating respective first-pass curves in response to a contrast agent injected into the subject.5. The method of wherein analyzing the MRI datasets to identify the at least one of the temporal shift and MR signal variation includes comparing the images of the respective images of the subject.6. The method of wherein the comparison is a voxel-by-voxel comparison.7. The method of wherein correlating the at ...

INTEGRATED DEVICE TO MEASURE VARIATIONS IN NEUROMUSCULAR CONTROL WHEN TRACING DEFINED TARGET PATTERNS AND A SYSTEM AND METHOD OF USING THE INTEGRATED DEVICE

An integrated device that detects and stores, in digital form, the muscle movements that occur when an operator traces a defined figure or pattern with a pointing device, such as a laser beam. The movement data is stored and analyzed for monitoring and diagnosing a neuromuscular condition or neuromuscular variations. Movement disorders can be determined and progression and change analyzed over time using the stored data. 1. A device for measuring variations in neuromuscular control of a user , comprising: a computing device configured to be held by the user;', 'a pointing device attached to, or integrated with the computing device; and, 'an integrated device, includingthe computing device configured to detect movement data of the integrated device relative to a particular pattern predefined in the computing device.2. The device of claim 1 , wherein the computing device includes a motion sensor and timing circuitry.3. The device of claim 2 , wherein the motion sensor measures acceleration in the x claim 2 , y and z axes.4. The device of claim 2 , wherein the computing device is a smartphone.5. The device of claim 1 , wherein the pointing device is a laser pointing device.6. The device of claim 1 , wherein the computing device is further configured to compare the detected movement data to known movement data for the particular pattern.7. The device of claim 1 , wherein the computing device is further configured to transmit the detected movement data to a remote computer for storage in a remote database.8. The device of claim 7 , wherein the remote computer is a cloud computer and the data is transmitted over the Internet.9. The device of claim 8 , wherein the remote computer compares the detected movement data over time claim 8 , to determine a progression of a neuromuscular variation of the user.10. The device of claim 7 , wherein the remote computer is configured to compare the detected movement data to known movement data for the particular pattern.11. The device ...

EVENT DETECTION USING A VARIABLE THRESHOLD

Devices and methods for detecting an event using a variable threshold. A patient monitoring system can receive physiologic information and compare the information to an onset threshold. When the onset threshold is exceeded, the system shifts to a reset threshold that is different than the onset threshold. When the reset threshold is crossed, the system shifts back to the onset threshold. 1. A patient monitoring system comprising: receive physiological information of a subject;', 'determine a trend of the received physiological information; and', 'provide, to the display, one of an onset threshold indicative of onset of a physiological alert condition or a reset threshold indicative of an end of the physiological alert condition according to a state of the physiological data analyzer circuit,, 'a physiological data analyzer circuit configured toa display configured to display one of the onset threshold or the reset threshold, while the determined trend is below the onset threshold, display the onset threshold; and', 'when the determined trend exceeds the onset threshold, display the reset threshold and transition the physiological data analyzer circuit to a second state;, 'wherein, in a first state, the physiological data analyzer circuit is configured to compare the determined trend to the onset threshold, and while the determined trend is above the reset threshold, display the determined trend and the reset threshold; and', 'when the determined trend falls below the reset threshold, display the onset threshold and transition the physiological data analyzer circuit to the first state., 'wherein, in the second state, the physiological data analyzer circuit is configured to compare the determined trend to the reset threshold, and2. The patient monitoring system of claim 1 ,wherein, in the first state, the physiological data analyzer circuit is configured to determine a first trend,wherein, in the first state, the determined trend comprises the first trend,wherein, in ...

DEMONSTRABLE EFFICACY ACROSS OR WITHIN PATIENT POPULATIONS

The present invention provides methods for improving observed or determined efficacy by administration of agents to more severely diseased subjects, as contrasted with less severely diseased subjects. The present disclosure specifically demonstrates that, with respect to treatment of certain skin conditions, and particularly conditions associated with dysregulated and/or diseased skin cells, administration to more severely diseased subjects improves observed or determined efficacy. 1. A method comprising steps of:a) determining the severity of hyperhidrosis in individual subjects by stratifying the subjects into two or more categories based on hyperhidrosis severity, so that a first category comprises subjects having severe hyperhidrosis relative to at least a second category that comprises subjects having hyperhidrosis who are not severely diseased; andb) administering the treatment to subjects in the first category and not to subjects not in the first category, wherein the treatment comprises transdermal administration of botulinum toxin A;wherein the treatment has been demonstrated to achieve a reduction of 25% or more in perspiration when administered to the subjects in the first category; and not to achieve said reduction when administered to subjects in the second category.2. The method of claim 1 , wherein the hyperhidrosis in the subjects having severe hyperhidrosis is characterized by elevated frequency or severity of hyperhidrosis symptoms claim 1 , and/or earlier onset of such symptoms claim 1 , relative to the hyperhidrosis in the subjects who are not severely diseased.318.-. (canceled)19. The method of claim 1 , wherein the hyperhidrosis is categorized as palmar claim 1 , axillary claim 1 , plantar claim 1 , facial claim 1 , cranial claim 1 , or general hyperhidrosis.20. The method of claim 1 , wherein the subjects having severe hyperhidrosis have 200 mg gravimetric sweat production (GSP) or more; and wherein the subjects having hyperhidrosis who are ...

METHOD AND SYSTEM FOR PROVIDING CONTEXT BASED MEDICAL INSTRUCTIONS TO A PATIENT

A method and system for providing context based medical instructions to a patient is described. The method includes receiving patient data including patient profile and treatment stage associated with the patient. The method further includes determining a physical state of the patient based on continuous monitoring of activities of the patient. The physical state indicates receptive capability of the patient. Further, the method includes generating context based medical instructions based on the physical state and the patient data. The context based medical instructions are delivered to the patient. Further, the method includes monitoring an emotional state of the patient while the patient is performing the context based medical instructions. The method further includes generating dynamically updated context based medical instructions based on the emotional state of the patient. The emotional state indicates patient's interest for receiving the updated context based medical instructions. 1. A method of providing context based medical instructions to a patient , the method comprising:receiving, by a health monitoring system, patient data comprising patient profile and treatment stage associated with the patient;determining, by the health monitoring system, a physical state of the patient based on continuous monitoring of activities of the patient, wherein the physical state indicates receptive capability of the patient;generating, by the health monitoring system, one or more context based medical instructions based on the physical state and the patient data, wherein the one or more context based medical instructions are delivered to the patient;monitoring, by the health monitoring system, an emotional state of the patient while the patient is performing the one or more context based medical instructions; andgenerating dynamically, by the health monitoring system, one or more updated context based medical instructions based on the emotional state of the patient, ...

Pan-Indication Gradient Boosting Model Using Tumor Kinetics for Survival Prediction

A method for predicting a clinical outcome for a subject. Input data for a group of features is formed using baseline data and tumor kinetic data derived from longitudinal data for a set of variables for the subject, the set of variables including tumor size. A clinical outcome output that provides an indication of the clinical outcome for the subject is generated using a pan-indication model and the input data. The pan-indication model includes a gradient boosting decision tree-based ensemble machine learning algorithm. 1. A method for predicting a clinical outcome for a subject , the method comprising:identifying longitudinal data for a set of variables for the subject, the set of variables including tumor size;modeling a trajectory of the set of variables over a period of time using the longitudinal data to derive values for a plurality of tumor kinetic parameters;forming input data for a group of features using the values for the plurality of tumor kinetic parameters and baseline data obtained for the subject prior to treatment; andpredicting the clinical outcome for the subject using a pan-indication gradient boosting model and the input data.2. The method of claim 1 , wherein the clinical outcome comprises overall survival and wherein the plurality of tumor kinetic parameters includes at least two parameters selected from a group consisting of a time to tumor regrowth claim 1 , a tumor growth rate claim 1 , and a tumor shrinkage rate.3. The method of claim 2 , wherein the group of features is agnostic with respect to tumor type and wherein the pan-indication gradient boosting model generates a clinical outcome output that provides an indication of the overall survival independent of the tumor type.4. The method of claim 2 , wherein the group of features is agnostic with respect to treatment protocol and wherein the pan-indication gradient boosting model generates a clinical outcome output that provides an indication of the overall survival independent of the ...

MEDICAL IMAGE PROCESSING SYSTEM, ENDOSCOPE SYSTEM, DIAGNOSTIC SUPPORT APPARATUS, AND MEDICAL SERVICE SUPPORT APPARATUS

In order to support determination of a disease stage, there are provided a medical image processing system, an endoscope system, a diagnostic support apparatus, and a medical service support apparatus for reliably acquiring an index value relevant to visibility with respect to the state of red blood cells or the degree of irregularity of a gland duct structure according to the disease stage determination accuracy desired by a doctor. A light source unit emits a plurality of illumination light beams having different wavelength bands and different visibilities for red blood cells. An image acquisition unit acquires a plurality of medical images corresponding to respective illumination light beams by imaging an observation target illuminated with the respective illumination light beams. A red blood cell index value acquisition unit acquires a red blood cell index value, which is obtained by indexing the visibility of red blood cells, from each of the medical images. 1. A medical image processing system , comprising:a light source unit that emits a plurality of illumination light beams having different wavelength bands and different visibilities for red blood cells;an image acquisition unit that acquires a plurality of medical images corresponding to respective illumination light beams by imaging an observation target illuminated with the respective illumination light beams; anda red blood cell index value acquisition unit that acquires a red blood cell index value, which is obtained by indexing the visibility of red blood cells, from each of the medical images.2. The medical image processing system according to claim 1 , further comprising:a first determination unit that determines a state of the observation target from the red blood cell index value with reference to a correlation between the state of the observation target and the red blood cell index value.3. The medical image processing system according to claim 2 ,wherein the plurality of illumination light beams ...

Stroke Monitoring

A computer-implemented process for continuous monitoring of a brain stroke during a critical rehabilitation period, the process including the steps of: (i) accessing initial image data representing an initial image of a subjects brain containing a stroke region; (ii) accessing scattering parameter data representing microwaves scattered by the subjects brain and originating from a plurality of antennas disposed around the subjects brain; and (iii) processing the scattering parameter data and the initial image data using a gradient-free optimisation method to generate estimates of spatial dimensions of the stroke region within the subjects brain, wherein the initial image of the subjects brain is used as a priori information to improve the accuracy of the generated estimates, and the spatial dimensions of the stroke region are generated as global parameters of the gradient-free optimisation method. 1. A computer-implemented process for continuous monitoring of a brain stroke during a critical rehabilitation period , the process including the steps of:(i) accessing initial image data representing an initial image of a subject's brain containing a stroke region;(ii) accessing scattering parameter data representing microwaves scattered by the subject's brain and originating from a plurality of antennas disposed around the subject's brain; and(iii) processing the scattering parameter data and the initial image data using a gradient-free optimisation method to generate estimates of spatial dimensions of the stroke region within the subject's brain, wherein the initial image of the subject's brain is used as a priori information to improve the accuracy of the generated estimates, and the spatial dimensions of the stroke region are generated as global parameters of the gradient-free optimisation method.2. The process of claim 1 , wherein the spatial dimensions of the stroke region are initially determined by optimising the spatial dimensions of a first predetermined ...

Systems and method for detecting cognitive impairment

Systems, methods, and computer readable media for determining cognitive impairment (CI) in patients are provided herein. Various regional structural-functional parameters of the retina can serve as biomarkers for the detection of CI. The method can include forming a database including a quantification of retinal structure and retinal function of a plurality of eyes associated with a plurality of patients, providing a baseline cognitive impairment (CI) reference. The method can include determining a measure of functionality of neurons in the retina based on an electroretinogram (ERG) of a patient. The method can include determining a structural measure of the first retina based on a generalized dimension spectrum and singularity spectrum of the skeletonized retinal image, and a lacunarity parameter of the skeletonized retinal image. The method can include determining a level of cognitive impairment based on the structural and functional measures.

PROGRAM INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE

A program causes a computer to execute a process of acquiring motion information relating to motion of respiratory muscles or accessory respiratory muscles from a detection sensor that detects the motion information and action potential information relating to the respiratory muscles or the accessory respiratory muscles from an electromyogram sensor that acquires the action potential information, a process of detecting an abnormality in a respiratory system disease on the basis of the acquired motion information and action potential information, and a process of outputting information on the abnormality when the abnormality is detected. 1. A program causing a computer to execute the following processes:acquiring motion information relating to motion of respiratory muscles or accessory respiratory muscles from a detection sensor that detects the motion information and action potential information relating to the respiratory muscles or the accessory respiratory muscles from an electromyogram sensor that acquires the action potential information;detecting an abnormality in a respiratory system disease based on the acquired motion information and action potential information; andoutputting information on the abnormality when the abnormality is detected.2. The program according to claim 1 , wherein the detection sensor includes a piezoelectric element sensor claim 1 , an extension sensor claim 1 , an echo sensor claim 1 , or a bioelectric potential sensor that detects the information on the motion of the respiratory muscles or the accessory respiratory muscles.3. The program according to claim 1 , executing:determining whether a first condition is satisfied based on the motion information detected by the detection sensor;determining whether an electrical signal corresponding to the expiratory muscles is equal to or higher than a predetermined threshold in the action potential information acquired from the electromyogram sensor; andoutputting information relating to ...

METHODS FOR EVALUATING PATIENTS

Methods for evaluating subjects having conditions associated with loss of muscle function (e.g., a motor neuron disease, a neuromuscular disease, or a myopathy) by measuring muscle function (e.g., muscle strength) are disclosed. 2. The method of claim 1 , further comprising claim 1 , comparing the value for Twith a reference value claim 1 , and claim 1 , optionally claim 1 , responsive to the value for T claim 1 , classifying the subject.3. (canceled)4. The method of claim 1 , further comprising determining if the value for ZMF Factor or Muscle Function claim 1 , is a Zero Function Value.5. (canceled)6. The method of claim 1 , comprising measuring a value for Muscle Function or for a Zero Muscle Function Factor (ZMF Factor):i) once, twice, three times, four times, five times, six times, seven times, eight times, nine times, or ten or more times; orii) once a month for at least, 1, 2, 3, 4, 5, 6, 12, 18 or 24 or more months.7. (canceled)8. The method of claim 1 , further comprising claim 1 , responsive to the value for ZMF Factor or Muscle Function claim 1 , classifying the subject.9. The method of claim 1 , further comprising:comparing the value for ZMF Factor or Muscle Function with a reference value to determine if the muscle has reached Zero Function.10. (canceled)11. (canceled)12. The method of claim 1 , wherein the disease associated with loss of muscle function is a motor neuron disease claim 1 , neuromuscular disorder claim 1 , or a myopathy.13. The method of claim 1 , wherein the disease associated with loss of muscle function is one or more selected from: amyotrophic lateral sclerosis (ALS) claim 1 , spinal muscular atrophy (SMA) claim 1 , spinobulbar muscular atrophy (SBMA) claim 1 , polymyositis claim 1 , inclusion body myositis claim 1 , a motor neuropathy claim 1 , and distal hereditary motor neuropathy.14. The method of claim 1 , wherein the disease associated with loss of muscle function is ALS or SMA.15. (canceled)16. The method of claim 1 , wherein ...

GEOGRAPHIC ATROPHY IDENTIFICATION AND MEASUREMENT

Geographic atrophy of the eye can be detected and measured by imaging the eye at a depth greater than the retinal pigment epithelium (RPE) at a plurality of locations of the eye, for example, using optical coherence tomography (OCT); determining a ratio of the intensities of imaging signals of a retinal layer(s) with respect to the intensity of imaging signals of a sub-RPE layer(s) at each location; determining representative values based at least in part on the determined ratios; generating a map of the representative values; and identifying diseased areas from the map. Contours and binary maps may be generated based on the identified diseased areas. The size and shape of the identified areas may be analyzed and monitored over a period of time. 1. A method of processing acquired ophthalmic image data including ratios of intensities of backscattered imaging signals for each of a plurality of axial scans and representative values for each of the plurality of axial scans , the representative values being based at least in part on the ratios for the corresponding axial scan , the method comprising:generating a map of the representative values or ratios;generating seeds of diseased areas;growing a region encompassed by the generated seeds;identifying an area inside the region as diseased; andoutputting the generated map with a contour around the regions identified as diseased or outputting a binary mask of the regions identified as diseased.2. The method of claim 1 , wherein the ratios are determined by:providing an imaging signal produced by an imaging device capable of penetrating beyond the retinal pigment epithelium (RPE) of a subject's eye;detecting intensities of the imaging signal as the imaging signal is backscattered by each of a plurality of tissue layers in the subject's eye for the plurality of axial scans; anddetermining the ratios of the intensities of the backscattered imaging signals, the ratios being the intensity of the backscattered imaging signal of ...

State estimation apparatus and non-transitory computer readable medium

A state estimation apparatus includes a processor configured to estimate, from first test information obtained as a result of a first test conducted on a test target, second test information indicating a result of a second test, whether to conduct the second test being determined on a basis of a result indicated by the first test information, and estimate a state of the test target from the estimated second test information and the first test information.

SYSTEMS AND METHODS FOR AUTOMATICALLY NOTIFYING A CAREGIVER THAT A PATIENT REQUIRES MEDICAL INTERVENTION

Systems and methods for automatically notifying a caregiver that a patient is in need of clinical intervention are disclosed. The systems and methods include the utilization of a machine learning model to automatically notify the caregiver when a patient is statistically likely to need clinical intervention within a predetermined time period. 1. A method of automatically notifying a caregiver that a patient , having a medical condition , is likely to experience sepsis and is in need of clinical intervention , the method comprising:(a) automatically acquiring, through an interface, patient clinical variable data for the patient having a medical condition;(b) automatically analyzing, using a model, the acquired clinical variable data comprising cytometry data, age, heart rate, blood pressure, and body temperature for the patient against a dataset, or against information obtained or derived from the dataset, the dataset having information relating to health record data obtained from a plurality of patients, wherein the model maps the acquired clinical variable data to a plurality of multidimensional spaces and further comprises associations between locations within the plurality of multidimensional spaces and predicted patient outcomes, wherein the model is generated via a machine learning system using training data, wherein the training data includes the health record data obtained from the plurality of patients;(c) automatically assigning, based on a location within the plurality of multidimensional spaces to which the model maps the patient's clinical variable data, a probability that the patient is likely to experience sepsis and will require clinical intervention within a predetermined time period; and(d) automatically notifying, using a notification device, a caregiver that the patient requires clinical intervention if the determined probability equals or exceeds a predetermined threshold.2. The method of claim 1 , wherein the dataset includes information ...

INTELLIGENT PROGRESSION MONITORING, TRACKING, AND MANAGEMENT OF PARKINSON'S DISEASE

Various embodiments of the present invention describe mechanisms configured to monitor, track, and manage symptoms of Parkinson's disease (PD). According to particular exemplary embodiments, a system includes sensors configured to monitor motion exhibited by a user having symptoms of Parkinson's disease, a processor configured to determine whether the motion constitutes a tremor episode, and memory configured to maintain data associated with the tremor episode, a severity rating associated with the tremor episode, and medication intake information. In exemplary embodiments, the effectiveness of a user's medication intake can be determined based on data displayed regarding severity rating variations over time in relation to medication intake. 1. A system comprising:a plurality of sensors configured to monitor motion exhibited by a user having symptoms of Parkinson's disease;a processor connected to the plurality of sensors, the processor configured to determine whether the motion constitutes a tremor episode; andmemory configured to maintain data associated with the tremor episode, a severity rating associated with the tremor episode, and medication intake information.2. The system of claim 1 , wherein the processor is further configured to determine a severity rating for the tremor episode.3. The system of claim 1 , wherein the memory is further configured to maintain data associated with severity level variations over time in relation to medication intake such that effectiveness of the medication intake can be determined4. The system of claim 1 , wherein the system is a bracelet.5. The system of claim 1 , wherein the motion comprises cyclical motion.6. The system of claim 1 , wherein the severity rating is determined based on frequency and amplitude of the motion.7. The system of claim 1 , wherein the severity rating is determined based on duration of the tremor episode.8. The system of claim 1 , wherein medication intake information comprises type claim 1 , time ...

PREDICTIVE USE OF QUANTITATIVE IMAGING

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging and ancillary information to the ultrasound imaging. At least two quantitative measurements of a subject, including at least one measurement taken using ultrasound imaging, as part of quantified information can be identified. One of the quantitative measurements can be compared to a first predetermined standard, included as part of ancillary information to the quantified information, in order to identify a first initial value. Further, another of the quantitative measurements can be compared to a second predetermined standard, included as part of the ancillary information, in order to identify a second initial value. Subsequently, the quantitative information can be correlated with the ancillary information using the first initial value and the second initial value to determine a final value that is predictive of a disease state of the subject. 14-. (canceled)5. A method comprising:identifying at least one quantitative measurement of a subject using ultrasound imaging, the at least one quantitative measurement included as part of quantitative information of the subject gathered based on the ultrasound imaging;comparing the at least one quantitative measurement to a first predetermined standard to determine a first initial value, the first predetermined standard included as part of ancillary information to the quantitative information of the subject and qualitative information of the subject and falling within a first range of quantities;comparing at least one previous measurement of disease to a second predetermined standard to determine a second initial value, the second predetermined standard included as part of the ancillary information and falling within a second range of quantities; andcorrelating the quantitative information and the at least one previous measurement with the ancillary information using the first initial value and the second ...

NON-INVASIVE OCULAR BIOMARKERS FOR EARLY DIAGNOSIS OF DISEASES

Materials and methods are disclosed for screening advanced glycation end-products from mammalian ocular lens proteins to quantify early biomarkers for the diagnosis of diseases such as diabetes mellitus and to prevent related complications. 1. A method for characterizing advanced glycation end-products (AGEs) in an ocular cell or tissue sample , the method comprising performing a fluorescent measurement of the cell or tissue to quantify the AGEs in the cell or tissue , and comparing the quantified fluorescent measurement of the AGEs to a standardized AGE fluorescent measurement.2. The method for characterizing AGEs of claim 1 , wherein the ocular sample is from the lens.3. The method of used for early diagnosis of a hyperglycemic microenvironment claim 1 , wherein the fluorescent measurements are excited at wavelengths between 400-600 nm.4. The method of claim 1 , further defined as detecting changes in AGEs over time and in response to treatments for a condition or disease.5. The method of claim 1 , wherein the AGE is formed on a crystallin protein.6. The method of claim 1 , wherein the fluorescent measurement is a fluorescent lifetime detection.7. The method of claim 1 , wherein the fluorescent measurement is a time resolved fluorescence measurement.8. The method of claim 4 , wherein the disease is diabetes mellitus.9. An apparatus for detecting advanced glycation endproducts (AGE) in a cell or tissue claim 4 , the apparatus comprising:means for focusing an excitation light beam on the cell or tissue;means for detecting a fluorescent light emitted from the cell or tissue in one or more wavebands, wherein the detecting means produces an intensity of fluorescence from the cell or tissue;means for calculating the intensity of fluorescence for each waveband, wherein the calculating means detects the AGEs in the cell or tissue in the form of an intensity map; andmeans for distinguishing normal from pathological cell or tissue based on differences in the fluorescence ...

Neurophysiological Biomarkers for Neurodegenerative Disorders

The present disclosure provides methods for diagnosing and determining the disease progression of neurodegenerative disorders in patients using neurophysiological biomarkers. 2. The method of claim 1 , wherein the frequency range is about 5 Hz to about 80 Hz.3. The method of claim 1 , wherein the method further comprises determining an intermuscular coherence (IMC) value claim 1 , wherein the IMC value comprises an average IMC magnitude of the response between the pair of muscles across the frequency range.4. The method of further comprising causing a display interface to display the phase variance value plotted against the IMC value.5. The method of claim 4 , wherein a phase variance value of between about 0.2 to about 1.2 and an IMC value of equal to or less than about 0.023 indicates that the subject suffers from a neurodegenerative disorder.6. The method of claim 4 , wherein a phase variance value of between about 0 to about 0.6 and an IMC value of greater than about 0.023 indicates that the subject does not suffer from a neurodegenerative disorder.7. The method of claim 5 , wherein the phase variance value directly correlates to the severity of disease progression.8. The method of claim 1 , wherein the neurodegenerative disorder is amyotrophic lateral sclerosis (ALS) claim 1 , spinocerebellar ataxia claim 1 , fronto-temporal dementia claim 1 , or primary lateral sclerosis.9. The method of claim 1 , wherein the pair of muscles includes arm muscles claim 1 , hand muscles claim 1 , leg muscles claim 1 , or respiratory muscles.10. The method of claim 9 , wherein the pair of arm muscles is the brachioradialis muscle and the biceps muscle.11. The method of further comprising causing a display interface to display a plot of the phase of the response between the pair of muscles across the frequency range.12. The method of further comprising causing a display interface to display the phase variance value and an indication when the phase variance value exceeds a ...

Methods for monitoring physiological status of a body organ

The present invention provides method for monitoring physiological status of an organ in a subject by monitoring morphological changes over time in transplanted tissue on an eye of the subject. 1. A method for monitoring status of in situ pancreatic islets in a subject , comprising monitoring changes over time in pancreatic islets of Langerhans transplanted on an eye of the subject , wherein the changes over time in the transplanted pancreatic islets of Langerhans indicate status of in situ pancreatic islets in the subject.2. The method of claim 1 , wherein the subject is a non-human mammal.3. The method of claim 2 , wherein the non-human mammal is an animal model of a human disease.4. The method of claim 1 , wherein the subject is a primate claim 1 , wherein the primate has a disease relating to the pancreas.5. The method of claim 1 , wherein the subject is a human claim 1 , wherein the human has a disease relating to the pancreas.6. The method of claim 1 , wherein the method is used to monitor efficacy of a course of treatment for a disorder in the subject claim 1 , wherein the changes over time in the transplanted pancreatic islets of Langerhans on the eye of the subject occur in response to the treatment.7. The method of claim 6 , wherein the course of treatment comprises administration of a therapeutic to the subject claim 6 , and wherein the method monitors efficacy of the therapeutic in the subject.8. The method of claim 6 , wherein the course of treatment comprises a diet and/or an exercise regimen claim 6 , and wherein the method monitors efficacy of the diet and/or exercise regimen in the subject.9. The method of claim 5 , wherein the method is used to monitor efficacy of a course of treatment for a disorder in the subject claim 5 , wherein the changes over time in the transplanted pancreatic islets of Langerhans on the eye of the subject occur in response to the treatment.10. The method of claim 9 , wherein the course of treatment comprises administration ...

ORAL DATA COLLECTION DEVICE

The present disclosure provides an oral data collection device comprising a mouthguard and at least two sensors, a medical analytics system comprising the device, and methods of using the device and system to provide a personalized treatment protocol, stage a health condition, measure a response to therapy, phenotype for selection to participate in drug trials, measure stability of an anatomical structure, or predict a rate of change of a health condition in a subject in need thereof. 1. An oral data collection device , comprising: 'i. an arch-shaped body comprising a proximal end, a first distal end, and a second distal end, an external surface, an internal surface, a first biting surface, and a tray operable to engage the upper or lower teeth of a subject, the tray comprising a second biting surface opposite the first biting surface;', 'a. a mouthguard, the mouthguard comprising i. a first pressure sensor stack at the first distal end of the mouthguard and a second pressure sensor stack at the second distal end of the mouthguard, wherein each pressure sensor stack comprises a first pressure sensor and a second pressure sensor arranged in a stack;', 'ii. a humidity sensor operable to sense relative humidity in the breath of a user wearing the device; and', 'iii. a microphone or vibration sensor;, 'b. sensors in the body of the mouthguard, the sensors comprisingc. a controller in the body of the mouthguard, wherein the controller is in functional communication with the sensors, and wherein the controller is operable to receive and communicate sensor data;d. a means for communication in the body of the mouthguard, wherein the means for communication is operable to receive the sensor data from the controller and communicate the sensor data to a secondary device; ande. a power source functionally coupled to the controller and the one or more sensors;wherein each pressure sensor is a force plate pressure sensor, andwherein data received by the controller from each ...

MEDICAL IMAGE PROCESSING APPARATUS, ENDOSCOPE APPARATUS, DIAGNOSTIC SUPPORT APPARATUS, AND MEDICAL SERVICE SUPPORT APPARATUS

There are provided a medical image processing apparatus, an endoscope apparatus, a diagnostic support apparatus, and a medical service support apparatus capable of detecting red blood cells using an endoscope image. A medical image processing apparatus includes: a medical image acquisition unit that acquires short wavelength medical images, which are medical images including a subject image and which are obtained by imaging a subject with light in a shorter wavelength band than a green wavelength band; and a red blood cell detection unit that detects red blood cells using the short wavelength medical images. The light in the short wavelength band is, for example, light in a blue band or a violet band of a visible range. The red blood cell detection unit detects, for example, a high-frequency, granular, and high-density region as red blood cells. 1. A medical image processing apparatus , comprising:a medical image acquisition unit that acquires a short wavelength medical image, which is a medical image including a subject image and which is obtained by imaging a subject with light in a shorter wavelength band than a green wavelength band; anda red blood cell detection unit that detects a red blood cell using the short wavelength medical image.2. The medical image processing apparatus according to claim 1 ,wherein the red blood cell detection unit detects a high-frequency, granular, and high-density region as a red blood cell using the short wavelength medical image.3. The medical image processing apparatus according to claim 1 , further comprising:a red blood cell quantity calculation unit that calculates a quantity of red blood cells detected in the short wavelength medical image;a red blood cell movement amount calculation unit that calculates a movement amount of red blood cells detected in the short wavelength medical image; andan index calculation unit that calculates an index indicating a degree of progress of a lesion using the quantity and the movement amount ...

DIAGNOSIS SUPPORT METHOD, DIAGNOSIS SUPPORT APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

A diagnosis method performed by a computer includes: executing a process that includes specifying a first case image group which includes one or more case images which have a same abnormality as a first abnormality detected from an image of a subject among plural case images about each of plural patients, each of the plural case images indicating an image in which a progression stage of a disease is different; executing a first selection process that includes calculating a first similarity about a site where the first abnormality appears between each of the one or more case images included in the first case image group and the image of the subject, and selecting a second case image group from the first case image group in accordance with the first similarity with respect to each of the one or more case images included in the first case image group. 1. A diagnosis method performed by a computer , the method comprising:executing a process that includes specifying a first case image group which includes one or more case images which have a same abnormality as a first abnormality detected from an image of a subject among plural case images about each of plural patients, each of the plural case images indicating an image in which a progression stage of a disease is different; calculating a first similarity about a site where the first abnormality appears between each of the one or more case images included in the first case image group and the image of the subject, and', 'selecting a second case image group from the first case image group in accordance with the first similarity with respect to each of the one or more case images included in the first case image group;, 'executing a first selection process that includes'} specifying a patient of the case image with respect to each of the case images included in the second case image group,', 'specifying another case image which is obtained by scanning later than the case image with respect to the specified patient, and', ...

METHODS AND SYSTEMS FOR AN ELECTRONIC ASTHMA ACTION PLAN

Methods and systems are provided according to example embodiments of the present invention to provide an electronic asthma action plan/decision support tool as part of an electronic medical record system and to provide a guide to best practices, narrow the complexity of choices, and assist in selecting the appropriate therapy. In some embodiments, such an electronic asthma action plan/decision support tool may provide rapid determination of peak flow expectations; assessment of asthma severity or control; the ability to satisfy asthma appropriate care expectations; provision of guideline-based decision support; electronic prescribing; and generation of an individualized asthma action plan patient handout to support self-management. 1. A method comprising:retrieving patient data;receiving an indication of a variable to be used in the patient assessment;determining a patient level of severity or control based at least on the patient data and the indication of the variable;receiving a selection of a therapy step level;determining treatment options for one or more zones based at least on the patient data, the therapy step level, and an applicable guideline;receiving treatment selections for each of the one or more zones;receiving a selection of condition triggers; andgenerating an asthma action plan based at least in part on the patient data, the patient level of severity or control, the selected treatment options, the condition triggers, and the applicable guideline.2. The method of wherein the patient data comprises patient age claim 1 , height claim 1 , and gender.3. The method of wherein the indication of a variable comprises an indication of whether to use a peak flow measurement in the patient assessment claim 1 ,wherein in the case where a peak flow measurement is to be used, the peak flow measurement is one of:a calculated peak flow one, wherein the calculated peak flow is based at least in part on the patient data and one of an equation or a chart;a prior ...

SYSTEMS, METHODS, AND DEVICES FOR THREE-DIMENSIONAL IMAGING, MEASUREMENT, AND DISPLAY OF WOUNDS AND TISSUE SPECIMENS

The present disclosure provides methods, systems, and devices for coregistering imaging data to form three-dimensional superimposed images of a biological target such as a wound, a tumor, or a surgical bed. A three-dimensional map can be generated by projecting infrared radiation at a target area, receiving reflected infrared radiation, and measuring depth of the target area. A three-dimensional white light image can be created from a captured two-dimensional white light image and the three-dimensional map. A three-dimensional fluorescence image can be created from a captured two-dimensional fluorescence image and the three-dimensional map. The three-dimensional white light image and the three-dimensional fluorescence image can be aligned using one or more fiducial markers to form a three-dimensional superimposed image. The superimposed image can be used to track wound healing and to excise cancerous tissues, for example, breast tumors. Images can be in the form of videos. 1. A method of generating a three-dimensional image of a target using two-dimensional images , comprising:generating a three-dimensional map of a target area associated with one or more fiducial markers;capturing a two-dimensional white light image of the target area and the one or more fiducial markers;creating a three-dimensional white light image from the two-dimensional white light image and the three-dimensional map;capturing a two-dimensional fluorescence image of the target area and the one or more fiducial markers;creating a three-dimensional fluorescence image from the two-dimensional fluorescence image and the three-dimensional map; andaligning the three-dimensional white light image and the three-dimensional fluorescence image using the one or more fiducial markers to form a three-dimensional superimposed image.2. The method of claim 1 , wherein the capturing of the two-dimensional fluorescence image of the target area and the one or more fiducial markers comprises:illuminating the ...

Viewing grid and image display for viewing and recording skin images

A viewing navigation grid and imaging display especially useful for viewing recorded skin images.

RECIST ASSESSMENT OF TUMOUR PROGRESSION

The present invention relates to a method and system that automatically finds, segments and measures lesions in medical images following the Response Evaluation Criteria In Solid Tumours (RECIST) protocol. More particularly, the present invention produces an augmented version of an input computed tomography (CT) scan with an added image mask for the segmentations, 3D volumetric masks and models, measurements in 2D and 3D and statistical change analyses across scans taken at different time points. 1. A method for determining volumetric properties of one or more lesions in medical images , the method comprising:receiving image data;determining one or more locations of the one or more lesions in the image data;creating an image segmentation comprising the determined one or more locations of the one or more lesions in the image data; andusing the image segmentation to determine a volumetric property of the lesion.2. The method of wherein determining one or more locations of the one or more lesions comprises one or both of:identifying a focal point of the one or more lesions; and/oridentifying a focal point of one or more anatomical landmarks.3. The method of wherein the focal point of the one or more lesions comprises a centre of mass for the one or more lesions claim 2 , and/or the focal point of the one or more anatomical landmarks comprises a centre of mass for the one or more lesions.4. (canceled)5. (canceled)6. The method of wherein determining one or more locations of the one or more lesions comprises determining the location relative to one or more anatomical landmarks.7. The method of wherein the one or more anatomical landmarks comprise any one of: spine claim 6 , ribs claim 6 , lungs claim 6 , heart claim 6 , liver and kidneys.8. The method of wherein determining one or more locations of the one or more lesions comprises:identifying a focal point of the one or more lesions;identifying a focal point of the one or more anatomical landmarks; anddetermining the ...

Automated analysis of oct retinal scans

The present invention is related to improved methods for analysis of images of the vitreous and/or retina and/or choroid obtained by optical coherence tomography and to methods for making diagnoses of retinal disease based on the reflectivity profiles of various vitreous and/or retinal and/or choroidal layers of the retina.

COMPOSITIONS AND METHODS FOR CHEMICAL EXCHANGE SATURATION TRANSFER (CEST) BASED MAGNETIC RESONANCE IMAGING (MRI)

Compositions and methods for chemical exchange saturation transfer (CEST) based magnetic resonance imaging (MRI) or frequency labeled exchange (FLEX) imaging are disclosed. Beta-hydroxycarboxylate and beta-aminocarboxylate derivatives including salicylic acid, salicylates, salicylic acid prodrugs, N-alkyl/aryl/acyl/sulfonyl-anthranilic acid analogs, and any aromatic compound with OH/NH group ortho to the carboxylic acid group are disclosed. Such compounds can be used as general MRI organic contrast agents and produce significantly improved contrast in MR images detectable through CEST or FLEX. 5. The method of claim 1 , wherein the target is selected from the group consisting of a cell claim 1 , a biological tissue claim 1 , an organ claim 1 , a tumor claim 1 , a ligand claim 1 , a biomarker claim 1 , a therapeutically active agent claim 1 , a metal ion claim 1 , a chemotherapeutic claim 1 , an antigen claim 1 , a nanoparticle claim 1 , a receptor claim 1 , and a cation.6. The method of claim 1 , further comprising measuring a chemical shift change of exchangeable protons in said MRI contrast agent.7. The method of claim 1 , wherein the target is imaged using CEST MRI.8. The method of claim 1 , wherein the target is imaged using FLEX MRI.9. The method of claim 1 , further comprising diagnosing claim 1 , based on the MR image of the target claim 1 , a disease or disorder in a subject.10. The method of claim 1 , further comprising monitoring claim 1 , based on the MR image of the target claim 1 , progression or regression of a disease disorder in a subject.11. The method of claim 9 , wherein the disease or disorder is selected from the group consisting of infectious diseases claim 9 , neoplasms claim 9 , endocrine claim 9 , nutritional claim 9 , and metabolic diseases claim 9 , diseases of the blood and blood-forming organs claim 9 , inflammatory diseases claim 9 , immune diseases claim 9 , including autoimmune diseases claim 9 , diseases of the nervous system claim 9 ...

Method and System for Assessing Motion Symptoms

A state of progression in an individual of a disease or treatment having motion symptoms is determined. A time series of accelerometer data is obtained from an accelerometer worn on an extremity of the person, over an extended period during everyday activities of the person. The accelerometer data is processed to produce a plurality of measures of kinetic state of the individual at a respective plurality of times throughout the extended period, each measure of kinetic state comprising at least one of: a measure for bradykinesia, and a measure for dyskinesia. A measure of dispersion of the measures of kinetic state is determined. An output is generated, indicating that motion symptoms are at an initial stage if the measure of dispersion is less than a threshold, or indicating that motion symptoms are at an advanced stage if the measure of dispersion is greater than the threshold. 1. A method of determining a state of progression in an individual of a disease or treatment having motion symptoms , the method comprising:obtaining a time series of accelerometer data from an accelerometer worn on an extremity of the person, over an extended period during everyday activities of the person;processing the accelerometer data to produce a plurality of measures of kinetic state of the individual at a plurality of times throughout the extended period, each measure of kinetic state comprising at least one of: a measure for bradykinesia and a measure for dyskinesia;determining a measure of dispersion of the measures of kinetic state; andgenerating an output indicating that motion symptoms are at an initial stage if the measure of dispersion is less than a threshold, and generating an output indicating that motion symptoms are at an advanced stage if the measure of dispersion is greater than the threshold.2. The method of wherein the measure of dispersion comprises a measure of the interquartile range of the measures of kinetic state.3. The method of wherein the measure of ...