Computational pathology approach for retrospective analysis of tissue-based companion diagnostic driven clinical trial studies
US11721427B2 · kind B2 · utility
2Cited by
8References
20Claims
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Key dates
| Filing date | Jun 22, 2020 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Jun 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Automated systems and methods are presented for retrospectively analyzing clinical trial data. A plurality of image derived from biological samples of patients in a cohort population are accessed. Image features are computed based on the plurality of images. A diagnostic feature metric is derived based on the computed image features. A cut point value is determined by applying a statistical minimization method using the derived diagnostic feature metric and patient outcome data from the cohort population, in which the cut point value identifies a patient in the cohort population as positive or negative for a diagnostic test.
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