Grant ID RP190346
Awarded On August 21, 2019
Title Predicting Drug Response from Genomic Data Using Deep Learning Methods
Program Academic Research
Award Mechanism Individual Investigator Research Awards for Computational Biology
Institution/Organization The University of Texas Health Science Center at San Antonio
Principal Investigator/Program Director Yidong Chen
Cancer Sites Breast, Prostate
Contracted Amount $892,157*

*Pending contract negotiation

Lay Summary

Technological breakthrough in Deep Learning (DL), part of Artificial Intelligent (AI), has revolutionized industries, automation and also biomedical research. While its impact starts to be felt in our daily life, whether they are AI enabled consumer products or autonomous driving cars, many of these sophisticated deep learning algorithms have not yet been adapted to harness knowledges from ever-increasing genomic data, such as those from Cancer Genome Atlas (TCGA, >10,000 tumors across 33 tumor types), Cancer Cell-Line Encyclopedia (CCLE, >1000 cell lines), and enormous therapeutic drug testing results. Recently, we have developed a novel machine learning model to predict drug response...

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