Approaches to reducing dimensionality of genetic information used for machine learning and systems for implementing the same
US12014831B2 · kind B2 · utility
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19Claims
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Key dates
| Filing date | Dec 1, 2022 |
| Grant date | Jun 18, 2024 |
| Priority date | — |
| Expiry date | Dec 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Introduced here is an approach to further refining a set of locations that can serve as inputs to a machine learning algorithm. These locations may refer to unique molecular positions in a reference human genome and/or unique mutations thereof that are relevant in diagnosing cancer. A computing system can determine the diagnostic relevance of each location and then discard some of the less diagnostically relevant locations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.