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Machine learning may identify medulloblastoma subtypes

The combination of machine learning and radiomics can predict the molecular subtypes of medulloblastoma, paving the way for early diagnosis and better treatment of this common cancerous pediatric brain tumor, according to research presented last week at the American Medical Informatics Association (AMIA) meeting in San Francisco.