Smartphone screening and affordable genetic testing for babies and young children
Official title: Mobile Diagnosis of Congenital Genetic Conditions: A Model for Screening and Surveillance in Low-Resource Settings
Funded at University of California-Irvine · NIH-11472546 · Data updated 2026-11-12
A smartphone AI app paired with low-cost genetic testing to help find genetic syndromes like Down syndrome in babies and young children in low-resource countries.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California-Irvine NIH-funded |
| Lab location | 1 site (Irvine, United States) |
| Project start | February 1, 2024 |
| Project end | January 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $78,869 |
| NIH project number | 3R33HD102988-04S1 |
| Project ID | NIH-11472546 on NIH RePORTER |
Who could benefit from this research
✓Could help
Infants and young children (newborns up to around age 11), especially those with unusual birth features or suspected congenital conditions in the Democratic Republic of the Congo or similar low-resource areas, are the ideal candidates.
✕Less likely to help
People outside the project locations, older patients, or those with conditions that do not produce visible signs or that require advanced laboratory testing may not receive direct benefit from this program.
What this research studies
This project uses an AI-guided smartphone app to screen infants and children for physical signs of genetic syndromes and establishes low-cost, rapid genetic testing capacity in the Democratic Republic of the Congo. Local health workers will be trained to capture images and collect simple samples, the AI will flag children who may have a syndrome, and initial genetic tests will be performed nearby. The team will set up a registry to track diagnoses and health outcomes to improve follow-up and public health planning. Over time the tools are intended to expand to detect other chromosomal changes and genetic conditions.
Why it matters
Potential benefit: If successful, this could enable earlier diagnoses, more appropriate care, and better public-health tracking of genetic conditions in low-resource settings.
How similar studies have gone: AI facial-analysis tools have shown promise for detecting some syndromic features like Down syndrome, but combining mobile AI screening with on-site low-cost genetic diagnostics and a registry in low-resource countries is relatively new.
Where this research is happening
-
University of California-Irvine
Irvine, United States Active
Researchers
- Principal investigator: Vilain, Eric J. — University of California-Irvine
- Study coordinator: Vilain, Eric J.
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.