Using AI to improve early cancer detection
Official title: Data-driven Diagnostics using Multimodal- AI Assisted Approaches for Early Cancer Detection
Funded at University of Texas Med Br Galveston · NIH-10989491 · Data updated 2026-11-12
This study is exploring new ways to spot early signs of oral cancer using advanced imaging and smart technology, aiming to help doctors find risky areas that could turn into cancer, especially for patients who might be at higher risk.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Med Br Galveston NIH-funded |
| Lab location | 1 site (Galveston, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $38,383 |
| NIH project number | 1F99CA294164-01 |
| Project ID | NIH-10989491 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals at high risk for developing oral squamous cell carcinoma or other epithelial cancers.
✕Less likely to help
Patients with cancers that are not epithelial in nature may not benefit from this research.
What this research studies
This research focuses on enhancing the early detection of cancers, particularly oral squamous cell carcinoma, by utilizing a combination of advanced optical imaging techniques and artificial intelligence. The approach aims to identify high-risk lesions that may lead to cancer, which current screening methods often miss. By analyzing complex data from these imaging modalities, the research seeks to optimize diagnostic accuracy and improve patient outcomes. The study will involve preclinical animal models to validate the effectiveness of this innovative diagnostic method.
Why it matters
Potential benefit: If successful, this research could significantly increase the early detection rates of cancers, leading to better survival outcomes for patients.
How similar studies have gone: Previous research has shown promise in using multimodal imaging and AI for cancer detection, indicating a potential for success in this novel approach.
Where this research is happening
-
University of Texas Med Br Galveston
Galveston, United States Active
Researchers
- Principal investigator: Villarreal, Paula — University of Texas Med Br Galveston
- Study coordinator: Villarreal, Paula
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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.