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Using machine learning to identify blood biomarkers for early diagnosis of autism – News-Medical.Net
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…
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 study published today by PLOS ONE.
Earlier diagnosis, followed by prompt therapeutic support and intervention, could have a significant impact…
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