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Researchers at Weill Cornell Medicine have used machine learning to identify four distinct subtypes of Autism Spectrum Disorder (ASD). The machine learning algorithm was used to analyze three brain-behavior dimensions, which revealed four distinct subtypes of ASD linked to distinct molecular pathways. The findings could lead to more personalized treatments for individuals with ASD.