Drs. Shaalan Beg and Travis Osterman discuss a machine learning model, recently featured in JCO Clinical Cancer Informatics, that uses electronic health record data to accurately predict the effectiveness and toxicity of treatment with immune checkpoint inhibitors. The new AI model can be used to provide a personalized risk-benefit profile, inform therapeutic decision-making, and improve clinical trial cohort selection.
S.F. Oosting, J. Barriuso, A. Bottomley, M. Galotti, B. Gyawali, B. Kiesewetter, N.J. Latino, F. Martinelli, M. Pe, G. Pentheroudakis, F. Roitberg, H. Vachon, E.G.E. de Vries, M. Piccart, N.I. Cherny
Dylan V Neel, David S Shulman, Clement Ma, Florence Bourgeois, Steven G DuBois
Michael Z. Liao, Dan Lu, Matts Kågedal, Dale Miles, Divya Samineni, Stephanie N. Liu, Chunze Li
Karen Geary
J. Remon, R. García-Campelo, E. de Álava, R. Vera, J. L. Rodríguez-Peralto, Á. Rodríguez-Lescure, B. Bellosillo, P. Garrido, F. Rojo & R. Álvarez-Alegret
Stefanie Broes, Robbe Saesen, Denis Lacombe, Isabelle Huys