Yale School of Medicine Receives $27.7 Million Grant Toward Autism Research

New study identifies four distinct autism subtypes with unique genetic signatures

Autism is classified as a 'spectrum' for a reason: Each case is different. Scientists have struggled to parse through the many ways autism can manifest, much less to link these varying observable traits (called phenotypes) to underlying genetics.

Major autism study uncovers biologically distinct subtypes, paving the way for precision diagnosis and care

The research is a transformative step toward understanding the condition's genetic underpinnings and potential for personalized care.

A Strange Little Bird

You’ve Always Been This Way is a column written by Taylor Harris, a late-diagnosed neurodivergent woman and 1980s preschool dropout, who identifies every moment from her past that filled her with shame, and mutters, “Yep, that tracks. I see it all now.” - - -Before 2013, no one could be autistic and have ADHD. Back then, the DSM followed the one-drop rule for neurodevelopmental conditions. Got a touch of the ’tism? It is settled, then. No hypera…

Leveraging artificial intelligence for diagnosis of children autism through facial expressions

The global population contains a substantial number of individuals who experience autism spectrum disorder, thus requiring immediate identification to enable successful intervention approaches. The authors assess the detection of autism-related learning difficulties in children by evaluating deep learning models that use transfer learning methods along with fine-tuning methods. Using autism spectrum disorder (ASD) diagnosed child RGB images data…

Yale School of Medicine Receives $27.7 Million Grant Toward Autism Research

NEW HAVEN, Conn., July 8, 2025 /PRNewswire/ -- Yale School of Medicine (YSM) was awarded a $27.7 million grant from Aligning Research to Impact Autism (ARIA) to develop an interdisciplinary research project to investigate non-invasive functional communication methods through large-scale…

AI used to improve speed and accuracy of autism and ADHD diagnoses

It can take as long as 18 months for children with suspected autism spectrum or attention-deficit-hyperactivity disorders to get a diagnostic appointment with a psychiatrist in Indiana. But an interdisciplinary team led by an Indiana University researcher has developed a new diagnostic approach using artificial intelligence that could speed up and improve the detection of neurodivergent disorders.