Pediatric cancer relapse prediction is a ground-breaking area of research that is transforming the way we approach the treatment of childhood cancers.Utilizing advanced AI techniques, researchers are uncovering new insights into the glioma recurrence risk, which is crucial for improving patient outcomes.