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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Váldodahkkit:	Erick Velasquez, Nastya Kassir, Sravanthi Cheeti, Denison Kuruvilla, Rucha Sane, Steve Dang, Dale Miles, James Lu
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Frontiers Media S.A. 2024-06-01
Ráidu:	Frontiers in Artificial Intelligence
Fáttát:	oncology survival prediction pharmacometrics statistical modeling machine learning
Liŋkkat:	https://www.frontiersin.org/articles/10.3389/frai.2024.1412865/full
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