By revealing differences between autistic and non-autistic children, it could help identify autism in babies.

In this inaugural episode, Lord discusses her entry into autism research, what the future of the field might look like, and how drama club saved her in high school.

The Modified Checklist for Autism in Toddlers (M-CHAT) accurately flags autistic toddlers, a new systematic review and meta-analysis suggests, contrary to past evidence that the tool’s validity varies depending on a child’s age and traits. Experts weigh in on the discrepancy.

The COVID-19 pandemic forced a reckoning, in which autism clinicians had to redefine best practices and expand how children are evaluated. The remote assessments they developed may help solve a persistent problem: the long wait families endure to get a diagnosis in the United States.

Elsevier’s retractions focus on peer review and conflicts of interest.

The questionnaire, designed to screen children for autism, isn’t ready for clinical use without further validation, contrary to what some overblown newspaper headlines reported.

Shortly after the study’s publication, experts critiqued it on PubPeer and other online platforms.

Most people with the X-linked syndrome have autism traits, and about one-quarter meet diagnostic criteria for the condition.

Common diagnostic and research practices may be adding to autism’s sex bias, but there are some simple steps scientists can take to counteract it.

My recommendations aim to foster a collaborative relationship between researchers and the Autistic community, resulting in an increase in the availability of genetic data.