Predicting overall survival in glioblastoma patients using machine learning: an analysis of treatment efficacy and patient prognosis

IntroductionGlioblastoma (GBM), the most aggressive primary brain tumor, poses a significant challenge in predicting patient survival due to its heterogeneity and resistance to treatment. Accurate survival prediction is essential for optimizing treatment strategies and improving clinical outcomes.Me...

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Bibliografski detalji

Glavni autori:	Razvan Onciul, Felix-Mircea Brehar, Adrian Vasile Dumitru, Carla Crivoi, Razvan-Adrian Covache-Busuioc, Matei Serban, Petrinel Mugurel Radoi, Corneliu Toader
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2025-04-01
Serija:	Frontiers in Oncology
Teme:	machine learning prognostic biomarkers explainable AI survival prediction clinical decision support personalized medicine
Online pristup:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1539845/full
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