Health
Researchers use machine learning to identify autism blood biomarkers – EurekAlert
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…
IMAGE: Blood samples from children with autism may provide insight into the condition as well as treatments.
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Credit: UT Southwestern Medical Center
DALLAS – Feb. 24, 2021 – 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…
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