Understanding factors that make each person with autism different has been a challenge, affecting diagnosis, interventions and the way we think about autism in general. Researchers at Istituto Italiano di Tecnologia, Rovereto, Italy, used computers to see how language, intellectual ability, motor and adaptive functioning grouped individuals into different categories. It turns out there are two groups – one group that improves over time and outperforms the other group consistently even in early life. The other group continues to struggle. These factors are not autism-specific, but do influence the creation of these different groups that are different biologically as well as behaviorally. This week’s podcast is an interview with the researchers on what it means for the future of understanding what might help what person at what time in their life.

The publication is open access and includes the model so their findings can be replicated widely: https://molecularautism.biomedcentral.com/articles/10.1186/s13229-024-00613-5