Improving privacy in sharing biomedical data
Official title: Computational Methods for Enhancing Privacy in Biomedical Data Sharing
Funded at Yale University · NIH-10918283 · Data updated 2026-11-12
This study is working on new ways to keep your health and genetic information private while still allowing researchers to share and analyze it safely, so they can better understand health and improve treatments for everyone.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | November 15, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $416,050 |
| NIH project number | 5DP5OD029574-06 |
| Project ID | NIH-10918283 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals whose genomic and clinical data could contribute to understanding genetic influences on health and disease.
✕Less likely to help
Patients whose data is not relevant to genomic or clinical research may not benefit from this research.
What this research studies
This research focuses on enhancing the privacy of sensitive biomedical data, which is crucial for understanding human genetics and health. By utilizing advanced cryptographic techniques, the project aims to create new methods for securely sharing and analyzing genomic and clinical data across institutions. This will help overcome current barriers to data sharing, allowing for more comprehensive and collaborative biomedical research while ensuring patient confidentiality. The approach involves developing scalable and cost-effective solutions that can handle complex data analyses.
Why it matters
Potential benefit: If successful, this research could lead to safer and more efficient sharing of biomedical data, ultimately improving health outcomes through better research insights.
How similar studies have gone: Other research has shown promise in using cryptographic methods for data sharing, indicating that this approach could be effective.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Cho, Hyunghoon — Yale University
- Study coordinator: Cho, Hyunghoon
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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.