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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Autors principals:	Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2025-03-01
Col·lecció:	CPT: Pharmacometrics & Systems Pharmacology
Matèries:	deep learning head and neck squamous cell carcinoma machine learning survival analysis tumor kinetics
Accés en línia:	https://doi.org/10.1002/psp4.13294
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