Predicting brain cancer relapse in children represents a significant advancement in the fight against pediatric gliomas, a type of brain tumor that often requires careful monitoring for recurrences.Recent research at Mass General Brigham has leveraged AI tools for cancer prediction to enhance the accuracy of these assessments far beyond traditional imaging techniques and methods.