Creating a system to share and access models and data for infectious diseases
Official title: Model and Data Sharing Core
Funded at Duke University · NIH-11158295 · Data updated 2026-11-12
This study is working on a helpful online tool that makes it easier for people to find and understand information about infectious and immune-related diseases, especially during emergencies like outbreaks.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project start | June 13, 2025 |
| Project end | May 31, 2030 |
| Funding year | 2025 |
| Award (this year) | $812,399 |
| NIH project number | 1U54AI191253-01 |
| Project ID | NIH-11158295 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals affected by infectious or immune-mediated diseases who may benefit from improved data sharing and model accessibility.
✕Less likely to help
Patients with conditions unrelated to infectious or immune-mediated diseases may not receive direct benefits from this research.
What this research studies
This research focuses on developing a new infrastructure that enhances the sharing and accessibility of models and data related to infectious and immune-mediated diseases. It aims to create an AI-based navigator service that helps users find and analyze immunology databases effectively. The project will also establish rigorous benchmarks to ensure the accuracy of the AI tools developed. Additionally, the infrastructure will be designed to handle emergency situations, such as disease outbreaks, by providing scalable computational resources.
Why it matters
Potential benefit: If successful, this research could significantly improve the way patients and healthcare providers access critical information about infectious diseases and their treatments.
How similar studies have gone: Other research initiatives have shown success in utilizing AI for data sharing and model development, indicating a promising potential for this approach.
Where this research is happening
-
Duke University
Durham, United States Active
Researchers
- Principal investigator: Bhavsar, Nrupen — Duke University
- Study coordinator: Bhavsar, Nrupen
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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.