Women whose children are severely autistic have lower serotonin levels than do those whose children have mild or moderate autism traits.

Two novel algorithms that analyze where a child looks as she views a video could help clinicians spot autism.

Watch the complete replay of Stelios Georgiades discussing a model for predicting trajectories in children with autism.

In autism research, as in other fields, small sample sizes can lead to false findings. The size of the sample needed for statistical significance depends on the type of study.

A new study suggests that its results could lead to a simple test for autism, but statisticians say the test could not be used to screen for the condition in the general population.

An ingestible electronic capsule enables researchers to instantaneously detect molecules associated with gastrointestinal issues.

Machine-learning holds the promise to help clinicians spot autism sooner, but technical and ethical obstacles remain.

From an app to diagnose autism to a crowdsourced project to map its prevalence, Dennis Wall is brimming with ambitious ideas. But his execution of these ideas leaves something to be desired, his critics say.

The pupils of babies later diagnosed with autism shrink more in response to light than those of their typical peers.

The brains of people with autism show a variety of structural differences from those of controls.