US EditionYale School of Medicine Receives $27.7 Million Grant Toward Autism Research
INDIANA, UNITED STATES, JUL 8 – The AI tool analyzes subtle movement biomarkers and achieves 71.5% accuracy to speed up autism and ADHD diagnosis, reducing wait times from up to 18 months, researchers say.
- On July 8, 2025, Yale School of Medicine received a $27.7 million grant from ARIA to fund interdisciplinary autism research focused on personalized therapies.
- This grant supports over 30 experts across multiple Yale departments aiming to address the unmet need for more effective, tailored treatments for ASD.
- ARIA leads accelerated autism research through collaboration, data sharing, clinical trials, and funding frontier science to improve outcomes for people with autism.
- The SPARK study, engaging over 150,000 autistic individuals, identified four distinct autism subtypes linked to unique genetic and phenotypic profiles to guide early, precise support.
- This integrated work promises to transform autism diagnosis and care, enabling earlier interventions and non-invasive, circuit-based treatments that could extend to other neurodevelopmental disorders.
32 Articles
32 Articles
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.
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…
Helena Independent Record
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.
Autism Rights, Wrongs, and Acceptance: A Two-Way Street
A firsthand account on autism acceptance, miscommunication, and the need for mutual understanding between neurodivergents and neurotypicals. The post Autism Rights, Wrongs, and Acceptance: A Two-Way Street appeared first on Autism Spectrum News.
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