Discovery platform
US12260946B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 24, 2024 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Apr 24, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
An exemplary discovery platform includes machine-learning techniques for using medical imaging data to study a phenotype of interest, such as complex diseases with weak or unknown genetic drivers. An exemplary method of identifying a patient subgroup of interest, comprises inputting a plurality of medical images obtained from a group of clinical subjects into a trained unsupervised machine-learning model to obtain a plurality of embeddings in a latent space, clustering the plurality of embeddings to generate one or more clusters of embeddings, identifying one or more patient subgroups corresponding to the one or more clusters of embeddings, and associating each patient subgroup of the one or more patient subgroups with a covariant to identify the patient subgroup of interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.