Artificial intelligence analysis of RNA transcriptome for drug discovery
US11482305B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 19, 2019 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Aug 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B50/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method may be provided to receive sample RNA reads from patients and generate lists of genes and their associated RNA expression levels in each patient. Some of the RNA reads may be matched to an RNA transcript or gene or gene family in terms of their match likelihood and other RNA reads may be matched to an RNA transcript or gene or gene family through the use of one or more machine learning classifiers. A machine learning classifier may be trained based on the plurality of the lists and a plurality of corresponding patients' clinical status data to identify gene patterns that recur with a high degree of frequency in the plurality of the lists. Those gene patterns can be capable of modifying a disease or treatment response and can be targeted for drug/treatment development.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.