Predicting brain cancer relapse is becoming a critical focus in pediatric oncology, as advancements in technology reshape how we understand and manage the disease.A groundbreaking study from Harvard has revealed that an AI tool significantly outperforms traditional approaches in forecasting the risk of relapse in children suffering from gliomas, a type of brain tumor.