- Article
Machine Learning-Based Prognosis Prediction in Glioblastoma Multiforme Patients by Integrating Clinical Data with Multimodal Radiomics
- Mohan Huang,
- Man Kiu Chan,
- Ka Lung Cheng,
- Pak Yuen Hui and
- Shing Yau Tam
8 February 2026
Objectives: Glioblastoma multiforme (GBM) is considered the most aggressive primary brain tumor, which often exhibits tumor heterogeneity. Hypoxia is a key aspect of intratumoral heterogeneity that contributes to poor prognosis in GBM. In this study,...

