Swiss biotech Stalicla hopes to bring precision medicine to autism. Experts praise efforts to identify autism subgroups, but evidence to support the company’s claims has yet to be seen.

Statistical modeling and machine learning helps blunt the bias in brain imaging studies that exclude young autistic children and those with prominent traits, a new study finds.

Machine-learning tools are widely available and can help speed up studies in animal models of autism. Here’s how to get started with the ‘minimal viable product’ and a few pro tips.

By coupling the tool — called SLEAP — with optogenetics, researchers can determine the neural circuits underlying social behaviors.

Models trained on datasets that lack racial and ethnic diversity perform less accurately on brain scans from Black Americans than their white counterparts.

The machine-learning tool, which automatically counts how many marbles a mouse buries, appears to distinguish between hyperactivity and repetitive behaviors.

By automatically quantifying gait and posture in videos of mice, a new machine-learning tool could accelerate research on how autism-linked mutations or drug treatments affect motor skills.

New software can automatically identify and quantify mouse social behavior from videos, saving researchers time.

The app relies on artificial intelligence and could help researchers standardize studies of pupil differences in autistic people and in mouse models of autism.

The U.S. Food and Drug Administration has given the okay to an app designed to help clinicians diagnose autism in children, but some researchers have concerns about its use.