Algorithm Uncovers Autism Syndromes’ Fingerprints

Published March 6, 2014 in Simons Foundation Autism Research Initiative

Autism is defined based on a wide variety of behavioral symptoms, but it’s precisely this variation along with a complex genetic background that makes it tricky to connect behavior to the underlying genes. A new algorithm may make this challenge a bit easier to solve. The algorithm, which employs a form of artificial intelligence that learns as it goes, analyzes behavioral data and has learned to recognize six genetic disorders associated with autism, according to research published in Molecular Autism. The researchers hope to use these behavioral signatures to hone their search for the genetic underpinnings of idiopathic autism, for which there is no known cause.

Filed under: , , , ,