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.

Machine learningAI hardwareG16B 40/20G16B 20/20G16B 20/50G16B 40/00G16B 20/00G16B 40/10

AI classification

Machine learning1.00
AI hardware0.79
Evolutionary computation0.17
Vision0.13
Knowledge representation0.07
Natural language0.07
Planning0.00
Speech0.00

Ownership

VIRCO N.V.

assignment · 120400795

Assignors

LARDER, BRENDAN, WANG, DECHAO

On an employer assignment, the assignors are typically the inventors.

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