Researchers use machine learning to identify autism blood biomarkers
Using machine learning tools to analyze hundreds of proteins, UT Southwestern researchers have identified a group of biomarkers in blood that could lead to an earlier diagnosis of children with autism spectrum disorder (ASD) and, in turn, more effective therapies sooner. The identification of nine serum proteins that strongly predict ASD were reported in a… Read More »
