Pediatric cancer relapse prediction is an evolving frontier in oncology, where innovative methods are reshaping patient care for children with brain tumors like gliomas.A groundbreaking study led by Harvard researchers has revealed that an AI tool can significantly outperform traditional techniques in assessing the risk of relapse among pediatric cancer patients.