Utilizing machine learning to tailor radiotherapy and chemoradiotherapy for low-grade glioma patients

Chemoradiotherapy Adjuvant radiotherapy
DOI: 10.1371/journal.pone.0306711 Publication Date: 2024-08-20T18:00:35Z
ABSTRACT
There is ongoing uncertainty about the effectiveness of various adjuvant treatments for low-grade gliomas (LGGs). Machine learning (ML) models that predict individual treatment effects (ITE) and provide recommendations could help tailor to each patient's needs.
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