Hand Grasping Patterns as a Potential Diagnostic Marker for Autism Spectrum Disorder

Researchers used machine learning to analyze naturalistic hand and finger movements during grasping tasks in autistic and non-autistic individuals, finding potential diagnostic differences. This objective biomechanical approach could offer a simpler, more accessible diagnostic pathway for autism spectrum disorder, though further validation is needed before clinical implementation.