Determining drug effectiveness ranking for a patient using machine learning
US11721441B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2019 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Mar 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16C20/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer based methods, systems, and computer readable media for intelligently accessing various types of pharmaceutical information in a content repository and ranking drugs at the variant level, gene level, and pathway level. In some cases, drugs that target the same gene, gene variant, or biological pathway may be ranked based upon in vitro, pre-clinical, clinical, or post-clinical evidence. To determine ranking of a plurality of drugs, information pertaining to drug administration is analyzed for the drugs. For a plurality of drugs, attributes corresponding to the drug are determined, wherein the attributes include a variant or a gene targeted by the drug, and a biological pathway comprising the targeted variant or gene. The plurality of drugs are ranked according to a drug effectiveness score based on one or more of a determined efficacy, potency, or toxicity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.