Using AI technology to quickly identify and manage oral lesions
Official title: AI-linked cytomics-on-a-chip to enable near-real time identification and management of oral lichenoid lesions in primary care
Funded at Oraliva, INC. · NIH-10921587 · Data updated 2026-11-12
This study is working on a new tool that uses advanced technology to help doctors quickly and accurately identify and manage oral lichenoid lesions, making it easier to catch any serious issues early on.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oraliva, INC. NIH-funded |
| Lab location | 1 site (Naples, United States) |
| Project start | April 15, 2025 |
| Project end | March 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $1,178,476 |
| NIH project number | 1R44DE033934-01 |
| Project ID | NIH-10921587 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with oral lesions, particularly those at risk for malignant transformation.
✕Less likely to help
Patients without any oral lesions or those who have already been diagnosed with advanced oral cancer may not benefit from this research.
What this research studies
This research focuses on developing an innovative tool that utilizes AI-linked cytomics-on-a-chip technology to help healthcare providers identify and manage oral lichenoid lesions in real-time. By improving the accuracy of diagnosis, this approach aims to facilitate early detection of potentially malignant lesions, which is crucial for effective treatment. The methodology involves creating a point-of-care device that can analyze oral lesions more effectively than traditional visual assessments. This could significantly enhance the ability of primary care practitioners to make informed decisions regarding patient management.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection of oral cancers, improving survival rates and reducing the need for aggressive treatments.
How similar studies have gone: Other research has shown promise in using AI for diagnostic purposes in healthcare, indicating that this approach could be effective.
Where this research is happening
-
Oraliva, INC.
Naples, United States Active
Researchers
- Principal investigator: Christodoulides, Nicolaos Joseph — Oraliva, INC.
- Study coordinator: Christodoulides, Nicolaos Joseph
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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.