Pediatric cancer recurrence poses a significant challenge in the treatment of childhood cancers, particularly those involving brain tumors like gliomas.Researchers at Mass General Brigham have explored innovative ways to address this issue, with an AI tool capable of predicting relapse risk more accurately than traditional methods.