Predicting brain cancer recurrence, especially in pediatric patients, is a critical area of research that aims to enhance treatment outcomes and reduce the burden of ongoing monitoring.A groundbreaking study from Harvard highlights the power of AI in cancer prediction, demonstrating a notable improvement in relapse risk assessments over traditional methods.