“Back in February, we brought you news of a deep-learning algorithm able to predict autism in two-year-olds based on structural brain changes beginning at six months of age.
Now, the same group at the University of North Carolina has again applied machine learning to the goal of predicting autism, with equally impressive results. This time, instead of structural changes, they were able to detect changes in brain function of six-month-olds that predicted if the children would later develop autism.
The study is notable because there were no false positives—that is, all the children predicted to develop autism did…”
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Tu es mignion
]]>detects something, you call it autism; not hearing voices is attention deficit for schizophrenics
]]>Synoptic 1 Huh?
]]>Wasim Muklashy quite clear unless you are schizophrenic; autists live like in shock, indifferent
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