A deep learning model to predict glioma recurrence using integrated genomic and clinical data

A deep learning model to predict glioma recurrence using integrated genomic and clinical data

Abstract Background Gliomas account for approximately 25.5% of all primary brain and central nervous system (CNS) tumors and 80.8% of malignant brain and CNS tumors. The prognosis varies considerably; patients with low-grade gliomas (LGGs) have 5-year survival rates of up to 80%, while patients with...

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Bibliographic Details
Main Authors: Jessica A. Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L. Warner, Ece D. Gamsiz Uzun
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-025-01083-3
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