GPU-powered computer system to accelerate biomedical AI and big data work
Official title: GPU-Accelerated Computational Infrastructure for Biomedically-Driven Applications
Funded at University of North Texas · NIH-11363070 · Data updated 2026-11-12
A high-performance GPU server is being funded to help researchers and students at UNT run AI-based biomedical analyses more quickly.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of North Texas NIH-funded |
| Lab location | 1 site (Denton, United States) |
| Project start | August 1, 2026 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $250,000 |
| NIH project number | 1S10EB041080-01 |
| Project ID | NIH-11363070 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable to patient participation in this grant; this is a facility upgrade supporting biomedical AI research.
✕Less likely to help
Patients are not directly enrolled or involved in this grant.
What this research studies
This grant provides a dedicated GPU-enabled server to support biomedical research and education. It focuses on handling large biomedical datasets from wearables, medical images, and health records, using deep learning and real-time data processing. The system will be used in graduate courses and research projects in engineering and information science to advance health technologies and health informatics.
Why it matters
Potential benefit: If successful, researchers and students could analyze health data faster, enabling faster insights and new education opportunities.
How similar studies have gone: GPU-accelerated infrastructure has enabled faster biomedical AI development in many centers, with demonstrated improvements in processing time and model performance.
Where this research is happening
-
University of North Texas
Denton, United States Active
Researchers
- Principal investigator: Pedram, Mahdi — University of North Texas
- Study coordinator: Pedram, Mahdi
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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.