Next-generation HIV research lab expansion using human-relevant systems and AI analytics
Official title: Supplemental Mechanical & Casework-Funding Request to C06 Award No. 1C06OD034041
Funded at University of Louisiana at Lafayette · NIH-11581656 · Data updated 2026-11-12
A NEW grant is funding the expansion of a biomedical research center to study HIV using advanced human-relevant lab models and AI data analysis.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Louisiana at Lafayette NIH-funded |
| Lab location | 1 site (Lafayette, United States) |
| Project start | September 18, 2026 |
| Project end | May 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $308,413 |
| NIH project number | 3C06OD034041-01S1 |
| Project ID | NIH-11581656 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians may enroll in future translational studies; patients could contribute samples or participate in related clinical programs once the NAM-based HIV research advances.
✕Less likely to help
Patients without access to HIV-related research participation or those outside related clinical trials may not directly benefit.
What this research studies
The New Iberia Research Center will renovate and expand its facility to support up to six multidisciplinary teams. The project will use human-relevant in vitro systems, organoids, microphysiological systems, multi-omics, and AI-enabled data analytics to study HIV pathogenesis and treatment approaches. The goal is to develop new methodologies (NAMs) that can improve understanding of HIV persistence and explore potential durable viral remission strategies. This is a facility and program expansion designed to accelerate HIV research with modern technologies in a university setting.
Why it matters
Potential benefit: If successful, the work could lead to more human-relevant HIV research methods and faster development of therapies that target viral persistence.
How similar studies have gone: This approach builds on growing evidence that human-relevant models and AI analytics can enhance translational HIV research, though the NAMs framework is an emerging area.
Where this research is happening
-
University of Louisiana at Lafayette
Lafayette, United States Active
Researchers
- Principal investigator: O'shea, Brian — University of Louisiana at Lafayette
- Study coordinator: O'shea, Brian
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.