The AT3 group published a new article focusing on the identification of dynamic biomarkers for the diagnosis of ASD

The Technology Assisted Training and Therapy (AT3) group of LabLENI has published a new article entitled “Machine Learning and Virtual Reality on Body Movements’ Behaviors to Classify Children with Autism Spectrum Disorder” in Journal of Clinical Medicine.

In this investigation, we continue our work for the diagnosis of ASD, in this case focusing on the identification of body movements as dynamic biomarkers that can contribute to the diagnosis of ASD, by means of VR technology and ML techniques.

Link to the publication