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 ...

In a recent study published in the journal Science Advances, researchers in the United States used 3D transport-based morphometry (TBM) to identify and visualize brain changes linked to 16p11.2 ...

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial ...

The study reveals that children with potential autism spectrum disorder (ASD) show a significant preference for predictable visual stimuli, spending more time observing them than typically developing ...

A test designed to identify biomarkers associated with autism just became available in most states. The test is meant to help physicians rule out autism in children who have higher likelihoods of it.

For parents, an autism diagnosis for their child is life-changing, often following months of uncertainty. Questions about eye contact, social responsiveness, and developmental progress lead families ...

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 ...