Machine learning for optimizing ovarian stimulation
US11735302B2 · kind B2 · utility
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19References
30Claims
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Key dates
| Filing date | Mar 29, 2022 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Mar 29, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.