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Biomarkers in mother’s plasma predict a type of autism in offspring with 100% accuracy
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Biomarkers in mother’s plasma predict a type of autism in offspring with 100% accuracy

by  UC Davis Credit: Unsplash/CC0 Public Domain Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study, published Jan. 22 in Molecular Psychiatry, specifically focused on maternal autoantibody-related autism spectrum disorder (MAR ASD), a condition accounting for around 20% of all autism...