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Machine Learning Finds Potential Biomarkers Associated with Autism – HealthITAnalytics.com

Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published…

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By Jessica Kent
January 26, 2021 – Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published in Molecular Psychiatry.
The team noted that while the incidence of autism spectrum disorder (ASD) has been rising, ASD-risk biomarkers are still lacking. According to the researchers, in 2018 the CDC estimated that one in 59 children are affected with autism in the US, making ASD a top health concern…

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