Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overa...

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Bibliographic Details
Main Authors: Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:CPT: Pharmacometrics & Systems Pharmacology
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Online Access:https://doi.org/10.1002/psp4.13294
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