Autism Biomarkers for Earlier ADHD… wait no: Autism Center of Excellence Network: Neurodevelopmental Biomarkers of Late Diagnosis in Autism
Official title: Autism Center of Excellence Network: Neurodevelopmental Biomarkers of Late Diagnosis in Autism
Funded at University of Virginia · NIH-11415604 · Data updated 2026-11-12
Aims to help people aged 16–30 who may have autism but were diagnosed late or not at all by using AI to find early warning signals and create a practical screening tool.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project start | September 4, 2012 |
| Project end | June 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $2,434,348 |
| NIH project number | 5R01MH100028-16 |
| Project ID | NIH-11415604 on NIH RePORTER |
Who could benefit from this research
✓Could help
Autistic individuals aged 16–30 who may have experienced late or no diagnosis and are willing to work with researchers.
✕Less likely to help
Individuals outside the 16–30 age range or those not experiencing LDx concerns may not benefit directly.
What this research studies
If you or someone you know has autism but was diagnosed late, this project will bring together long-term observations, self-reported experiences, and AI tools to spot signs of late diagnosis. Researchers will study 16–30 year olds with autism to identify biobehavioral patterns and how diagnosis timing affects well-being. The team will also test a self-report instrument and involve clinicians, autistic individuals, and families to guide the work. The goal is a usable screening approach that helps identify LDx risk earlier and connect people with supports.
Why it matters
Potential benefit: If successful, the project could shorten the time to diagnosis and connect LDx individuals with personalized supports and services.
How similar studies have gone: Prior work shows promise in combining qualitative and AI methods to understand ASD, with early indicators indicating potential for improved screening.
Where this research is happening
-
University of Virginia
Charlottesville, United States Active
Researchers
- Principal investigator: Pelphrey, Kevin a — University of Virginia
- Study coordinator: Pelphrey, Kevin a
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.