METHOD AND SYSTEM FOR PREDICTING RESISTANCE OF A DISEASE TO A THERAPEUTIC AGENT USING A NEURAL NETWORK
Patent №
US 7,058,616
Granted
2006-06-06
Filed 2000
Owner
VIRCO N.V.
Lab
—
AI components
2
ml · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09589167
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.
AI classification
Ownership
VIRCO N.V.
assignment · 120400795
Assignors
LARDER, BRENDAN, WANG, DECHAO
On an employer assignment, the assignors are typically the inventors.