Machine-learning system for diagnosing disorders and diseases and determining drug responsiveness
US12223643B2 · kind B2 · utility
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15Claims
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Key dates
| Filing date | May 29, 2020 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Oct 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Described are platforms, systems, and methods for screening patients. In one aspect, a computer-implemented method comprises: receiving, from a cellular imaging device, image data comprising calcium kinetic features of neuronal cultures derived from a patient; processing the image data through a machine-learning model to determine a diagnosis for the patient based on the calcium kinetic features, the machine-learning model trained using neuronal calcium data; and providing the diagnosis a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.