Pediatric cancer recurrence prediction is a critical area of research, particularly for children battling brain tumors like gliomas.A groundbreaking study from Mass General Brigham has revealed that an innovative AI tool outperforms traditional methods in predicting relapse risk, offering a glimmer of hope for many families.