Researchers Dr. Yuval Hart and Oded Wertheimer from the Psychology department and the Edmond and Lily Safra Center for Brain Science (ELSC) at The Hebrew University of Jerusalem have developed a new ...

Generalizable machine learning prediction models were developed using 4 algorithms: logistic regression, decision tree, random forest, and eXtreme Gradient Boosting. HealthDay News — In a diagnostic ...

Through the use of animal models, neuroscientists at the Tufts Sackler School of Graduate Biomedical Sciences are breaching new territory in the field of research on autism spectrum disorders (ASD), ...

A new University of California San Diego School of Medicine study offers a unified biological model to explain how genetic predispositions and environmental exposures converge to cause autism spectrum ...

FRISCO, Texas--(BUSINESS WIRE)--Magellan Healthcare, Inc., the behavioral health division of Magellan Health, Inc., today announced improved and measurable outcomes for children with autism spectrum ...

Researchers have found that the severity of autism symptoms, rather than the diagnosis itself, is linked to patterns of brain connectivity associated with genes connected to autism and ADHD.

Autism spectrum disorder, which affects around 1% of children worldwide, is as complex as the range of genetic and environmental factors that may contribute to it. Its complexity has made it difficult ...

The rigid protocols of institutionalized special education often prioritize compliance over actual comprehension, leaving ...

In a recent study published in JAMA Network Open, researchers developed and validated four machine learning (ML) models on a dataset comprising more than 30,000 participants to identify a novel ML ...