Researchers from Princeton University, the Simons Foundation, and other institutions have identified four biologically and clinically distinct subtypes of autism spectrum disorder (ASD) through advanced computational modeling and artificial intelligence techniques. This classification, reported in Nature Genetics and supported by large-scale phenotypic and genetic data, reveals unique genetic patterns and developmental trajectories for each subtype. The four subtypes include Social and Behavioral Challenges, Mixed ASD with Developmental Delay, Moderate Challenges, and Broadly Affected groups. These findings mark a transformative step toward precision diagnosis and personalized care for individuals with autism, providing a framework for better understanding the heterogeneity of the condition and tailoring interventions accordingly.