Potential way found to tackle autism
CHICAGO - A novel precision medicine approach, enhanced by artificial intelligence, has laid the groundwork for what could be the first biomedical screening and intervention tool for a subtype of autism, according to a new study. The subtype of the disorder studied by researchers from Northwestern University, Ben-Gurion University of the Negev, Harvard University and the Massachusetts Institute of Technology is known as dyslipidemia-associated autism, which represents 6.55 percent of all diagnosed autism spectrum disorders in the United States. The study's co-first author Yuan Luo, associate professor of preventive medicine at NU's Feinberg School of Medicine, says: "This discovery was like finding a needle in a haystack, as there are thousands of variants in hundreds of genes thought to underlie autism, each of which is mutated in less than 1 percent of families with the disorder. "The map and magnifier approach showcases a generalizable way of using multiple data modalities for subtyping autism," says Luo. "Today, autism is diagnosed based only on symptoms, and the reality is when a physician identifies it, it's often when early and critical brain developmental windows have passed without appropriate intervention," says Luo.

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