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Scan thoughts about hugging to predict autism
December 3, 2014 /
New brain-reading techniques can use neural representations of social thoughts to predict autism diagnoses with 97 percent accuracy.
The work establishes the first biologically based diagnostic tool that measures a person’s thoughts to detect the disorder that affects many children and adults worldwide.
by Shilo Rea-Carnegie Mellon
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Posted in: Education News
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