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Machine learning (ML)-based prediction of fatal immune checkpoint inhibitor (ICI)–associated myocarditis (MC) with multi-cohort validation.

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Year: 2026
Type: conference-abstract
Source: Journal of Clinical Oncology
DOI: 10.1200/jco.2026.44.16_suppl.12019
Authors: Hassan M. Abushukair, Eman Alghamdi, Keila Ostos-Mendoza, John Wells, Romina Barrios-Oneeglio, Sagal Pannu, Woncheol Jung, Aik-Choon Tan, Noha Abdel-Wahab, Zain Asad, Amin Nassar, Steven M. Blum, Douglas Buckner Johnson, Nicolas Palaskas, Fawaz F. Al-Harbi, Tae Gyu Oh, Abdul Rafeh Naqash
Institutions: OU Health Stephenson Cancer Center, Saudi Food and Drug Authority, The University of Texas MD Anderson Cancer Center, Vanderbilt University Medical Center, University of Oklahoma Health Sciences Center, University of Utah, Yale Cancer Center, Mass General Brigham, Vanderbilt-Ingram Cancer Center
Language: English

Topic: Cancer Immunotherapy and Biomarkers
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W7162557321
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