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), ...

Numerous potential treatments for neurological conditions, including autism spectrum disorders, have worked well in lab mice ...

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 ...

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 ...

A research team led by Director Kim Eunjoon of the Center for Synaptic Brain Dysfunctions and Director Kim Seong-Gi of the Center for Neuroscience Imaging Research within the Institute for Basic ...

Autism spectrum disorder is complex; it present differently in different patients, and the causes are still unclear, even though hundreds of small ... | Genetics And Genomics ...

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 ...

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 ...