Creating and sharing synthetic data for HIV research
Official title: Creating, evaluating, and sharing synthetic data for multinational HIV cohorts
Funded at Vanderbilt University Medical Center · NIH-11084839 · Data updated 2026-11-12
This study is working on using smart computer techniques to create fake health data that looks like real information about HIV patients, helping researchers share important health insights while keeping your privacy safe, which could eventually lead to better treatments for HIV.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project start | May 2, 2025 |
| Project end | February 28, 2030 |
| Funding year | 2025 |
| Award (this year) | $873,570 |
| NIH project number | 1R01MH139379-01 |
| Project ID | NIH-11084839 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals involved in HIV cohorts or those interested in the advancements of HIV treatment and research methodologies.
✕Less likely to help
Patients who are not part of HIV cohorts or those not interested in research advancements related to HIV may not receive direct benefits from this research.
What this research studies
This research focuses on developing advanced artificial intelligence methods to create synthetic data that mimics real HIV cohort data while ensuring patient privacy. By generating this synthetic data, researchers aim to overcome the limitations imposed by data privacy laws, allowing for broader access to valuable health information. The project will evaluate the effectiveness of these synthetic datasets in supporting scientific discoveries and improving the reproducibility of findings in HIV research. Patients may benefit indirectly as this research could lead to better-informed studies and treatments for HIV.
Why it matters
Potential benefit: If successful, this research could enhance the understanding and treatment of HIV by enabling more researchers to access and analyze data without compromising patient privacy.
How similar studies have gone: While synthetic data generation is a growing field, this specific approach tailored for HIV cohort data is relatively novel and has not been extensively tested in previous studies.
Where this research is happening
-
Vanderbilt University Medical Center
Nashville, United States Active
Researchers
- Principal investigator: Shepherd, Bryan Earl — Vanderbilt University Medical Center
- Study coordinator: Shepherd, Bryan Earl
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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.