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Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients

Medicine and Health

Network-based machine learning in colorectal and bladder organoid models predicts anti-cancer drug efficacy in patients

J. Kong, H. Lee, et al.

Discover a groundbreaking machine-learning framework developed by JungHo Kong, Heetak Lee, Donghyo Kim, Seong Kyu Han, Doyeon Ha, Kunyoo Shin, and Sanguk Kim that identifies robust drug biomarkers through innovative network-based analyses of pharmacogenomic data. This research promises to enhance drug response predictions in colorectal and bladder cancer treatments, verified by extensive validation against external datasets.

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