Method and system for predicting resistance of a disease to a therapeutic agent using a neural network
US7058616B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2000 |
| Grant date | Jun 6, 2006 |
| Priority date | — |
| Expiry date | Jun 8, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B40/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for predicting the resistance of a disease to a therapeutic agent is provided. Further provided is a method and system for designing a therapeutic treatment agent for a patient afflicted with a disease. Specifically, the methods use a trained neural network to interpret genotypic information obtained from the disease. The trained neural network is trained using a database of known or determined genotypic mutations that are correlated with phenotypic therapeutic agent resistance. The present invention also provides methods and systems for predicting the probability of a patient developing a genetic disease. A trained neural network for making such predictions is also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.