Drug indication and response prediction systems and method using ai deep learning based on convergence of different category data

Abstract

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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