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Abstract 7592: Machine learning enables accurate prediction of patient outcomes for immune checkpoint blockade using real-world clinical data.

Year: 2026

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2026-7592

Authors: Alyssa Pybus, Isis Yanina Narvaez-Bandera, Tosin Jolaogun, PAULO CILAS MORAIS LYRA, Khai Dang, Jeremy Goecks

Institution: Moffitt 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: W7148648191

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