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