Pediatric cancer recurrence prediction has taken a significant leap forward thanks to innovative AI technologies that enhance accuracy beyond traditional methods.A groundbreaking study conducted at Mass General Brigham reveals that advanced tools can assess the relapse risk in pediatric patients with brain tumors, specifically gliomas.