New research using machine learning algorithms and motion-tracking markers on thumb and index fingers during grasping tasks demonstrated the potential for an accessible diagnostic approach to distinguish between autistic and nonautistic individuals. The study achieved high classification accuracy and suggested that motor abnormalities in early childhood could be potential targets for early autism diagnosis.

Source: Autism Research