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

(University of California - Davis Health) UC Davis MIND Institute researchers used machine learning to crunch 10,000 autoantibody pattern combinations to identify maternal biomarkers associated with a sub-type of autism. The findings have implications for early diagnosis and intervention.