Model grounded in biology reveals the tissue structures linked to the disorder. A researcher’s mathematical modeling approach for brain imaging analysis reveals links between genes, brain structure and autism.
A multi-university research team co-led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can spot genetic markers of autism in brain images with 89 to 95% accuracy.
Their findings suggest doctors may one day see, classify and treat autism and related neurological conditions with this method, without having to rely on, or wait for, behavioral cues. And that means this truly personalized medicine could result in earlier interventions.
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