AI Analysis of Tumor Genetics Predicts Drug Response
March 26, 2024 | Terry Sharrer
“Scientists at the University of California (UC) San Diego School of Medicine have harnessed the power of artificial intelligence to tackle a significant challenge in cancer research: predicting when tumors will develop resistance to chemotherapy. . . . After training their machine learning model with publicly accessible drug response data, the researchers identified 41 molecular assemblies, or groups of collaborating proteins, where genetic alterations influence drug efficacy. Unlike previous models, this AI approach considers the broader biochemical networks crucial for cancer survival rather than focusing on individual genes or proteins.” MORE
Image Credit: InsidePresicionMedicine