A precision oncology-focused deep learning framework for personalized selection of cancer therapy
Casey Sederman, Chieh‐Hsiang Yang, Emilio Cortes-Sanchez, Tonya DiSera, Xiaomeng Huang, Sandra D. Scherer, Ling Zhao, Zhengtao Chu, Eliza R. White, Aaron E. Atkinson, Jadon Wagstaff, Katherine Elena Varley, Michael T. Lewis, Yi Qiao, Bryan E. Welm, , Gábor Marth
This paper introduces ScreenDL, a deep learning model that predicts effective cancer therapies using tumor omic and drug screening data, outperforming existing methods in preclinical trials.
bioRxiv · Dec 12, 2024 · PreprintCancer Biology