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Researchers have developed a new screening method to diagnose autism, which unlike current methods does not rely on subjective criteria. These results are published in a series of studies in the open-access journal Frontiers in Neuroscience. The studies, funded by a US$ 650,000 grant from the National Science Foundation, were led by Elizabeth Torres, a computational neuroscientist, and Dimitri Metaxas, a computer scientist, both at Rutgers University, in collaboration with Jorge V. Jose, a theoretical physicist and computational neuroscientist from Indiana University.
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