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This study from Weill Cornell Medicine used machine learning and neuroimaging data to classify people with autism spectrum disorder into four distinct subtypes based on their brain activity and behavior. The study found patterns of brain connections linked with behavioral traits in people with autism, such as verbal ability, social affect, and repetitive or stereotypic behaviors. The findings could lead to new approaches for diagnosis and treatment of autism in the future.