Machine learning for optimizing ovarian stimulation
Номер патента: EP4274594A1
Опубликовано: 15-11-2023
Автор(ы): Arielle Sarah ROTHMAN, Jordan Tang, Kevin Loewke, Mark LOWN, Melissa TERAN, Michael FANTON, Paxton Maeder-York, Veronica Isabella NUTTING
Принадлежит: Alife Health Inc
Опубликовано: 15-11-2023
Автор(ы): Arielle Sarah ROTHMAN, Jordan Tang, Kevin Loewke, Mark LOWN, Melissa TERAN, Michael FANTON, Paxton Maeder-York, Veronica Isabella NUTTING
Принадлежит: Alife Health Inc
Реферат: Systems and methods for implementing machine-learning models for ovarian stimulation is described herein. In some variations, a computer-implemented method may include optimizing an ovarian stimulation process may include receiving patient-specific data associated with a patient, and predicting an egg outcome for the patient for each of a plurality of treatment options for an ovarian stimulation process based on at least one predictive model and the patient-specific data, where the at least one predictive model is trained using prior patient-specific data associated with a plurality of prior patients.
Machine learning for optimizing ovarian stimulation
Номер патента: US20240038351A1. Автор: Jordan Tang,Kevin Loewke,Paxton Maeder-York,Michael FANTON,Melissa TERAN,Mark LOWN,Arielle Sarah ROTHMAN,Veronica Isabella NUTTING. Владелец: Alife Health Inc. Дата публикации: 2024-02-01.