Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

Levente Lippenszky; Kathleen F. Mittendorf; Zoltán Kiss; Michele L. LeNoue-Newton; Pablo Napan-Molina; Protiva Rahman; Cheng Ye; Balázs Laczi; Eszter Csernai; Neha M. Jain; Marilyn E. Holt; Christina N. Maxwell; Madeleine Ball; Yufang Ma; Margaret B. Mitchell; Douglas B. Johnson; David S. Smith; Ben H. Park; Christine M. Micheel; Daniel Fabbri; Jan Wolber; Travis J. Osterman

Journal ArticleOPEN ACCESS

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

Lippenszky L
Mittendorf K
Kiss Z
et al.

JCO Clinical Cancer Informatics (2024) (8)

DOI: 10.1200/cci.23.00207

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Abstract

Predicting #immunotherapy OS and toxicities across tumors using EHR data @GEHealthCare @VUMChealth.

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Lippenszky, L., Mittendorf, K. F., Kiss, Z., LeNoue-Newton, M. L., Napan-Molina, P., Rahman, P., … Osterman, T. J. (2024). Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data. JCO Clinical Cancer Informatics, (8). https://doi.org/10.1200/cci.23.00207

Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data

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