Researchers have developed a system that detects genetic markers of autism in brain images with 89-95% accuracy, potentially enabling earlier diagnosis and treatment. This method, which identifies brain structure patterns linked to autism-related genetic variations, offers a personalized approach to autism care. The technique, called transport-based morphometry, could transform the understanding and treatment of autism by focusing on genetic markers rather than behavioral cues.