发明名称 |
METHOD FOR PREDICTING THERAPEUTIC AGENT RESISTANCE USING NEURAL NETWORKS |
摘要 |
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. Also provided is a method and system for determining the genetic basis of therapeutic agent resistance. |
申请公布号 |
EP1352356(B1) |
申请公布日期 |
2009.10.14 |
申请号 |
EP20010945251 |
申请日期 |
2001.06.01 |
申请人 |
VIRCO BVBA |
发明人 |
LARDER, BRENDAN;WANG, DECHAO |
分类号 |
G01N33/50;G01N33/48;G06F19/00;G06F19/18;G06F19/24;G06Q10/00;G06Q50/00 |
主分类号 |
G01N33/50 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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