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Predicting overall survival from tumor dynamics metrics using parametric statistical and machine learning models: application to patients with RET-altered solid tumors

In oncology drug development, tumor dynamics modeling is widely applied to predict patients' overall survival (OS) via parametric models. However, the current modeling paradigm, which assumes a disease-specific link between tumor dynamics and survival, has its limitations. This is particularly evide...

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Principais autores: Erick Velasquez, Nastya Kassir, Sravanthi Cheeti, Denison Kuruvilla, Rucha Sane, Steve Dang, Dale Miles, James Lu
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2024-06-01
coleção:Frontiers in Artificial Intelligence
Assuntos:
oncology
survival prediction
pharmacometrics
statistical modeling
machine learning
Acesso em linha:https://www.frontiersin.org/articles/10.3389/frai.2024.1412865/full
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