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DRUG INDICATION AND RESPONSE PREDICTION SYSTEMS AND METHOD USING AI DEEP LEARNING BASED ON CONVERGENCE OF DIFFERENT CATEGORY DATA
DRUG INDICATION AND RESPONSE PREDICTION SYSTEMS AND METHOD USING AI DEEP LEARNING BASED ON CONVERGENCE OF DIFFERENT CATEGORY DATA
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机译:基于不同类别数据融合的人工智能深度学习的药物指示和响应预测系统及方法
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摘要
A system of predicting drug indications and drug response using an artificial intelligence (AI) deep learning model based on convergence of different types of information, the system including: a learning module configured to learn the response correlation between structure information on a drug and genetic information on a genome from collected learning information by deep machine learning; a prediction module configured to receive analysis information and output the result of prediction of the response of the genome to the drug from the analysis information; and a storage module configured to store a response prediction algorithm learned by the learning module. The learning information is drug response information obtained from clinical drug response information on target proteins, cell lines or living bodies.
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