Su, Deng, et al. develop machine learning models using multi-center clinical, molecular, and radiotherapy data from medulloblastoma patients to predict survival. Robust predictive performance is achieved across four application scenarios, identifying radiotherapy dose and key genetic events as critical for individualized clinical management.
