Developing advanced models to understand immune responses to viral infections.
Official title: Center for Multiscale Immune Systems Modeling
Funded at Duke University · NIH-11158292 · Data updated 2026-11-12
This study is all about figuring out how our immune system fights off viruses like the coronavirus, and it's designed for anyone interested in learning more about how our bodies respond to infections, while also training future scientists to help in this important work.
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) | $4,874,388 |
| NIH project number | 1U54AI191253-01 |
| Project ID | NIH-11158292 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who have been infected with the novel coronavirus or are at risk of infection, as well as those interested in contributing to advancements in immune response modeling.
✕Less likely to help
Patients who are not affected by viral infections or those with unrelated health conditions may not receive direct benefits from this research.
What this research studies
This research initiative focuses on creating innovative models to better understand how the immune system responds to viral infections, particularly the novel coronavirus. It brings together experts from various fields to enhance data sharing and collaboration, which will lead to more accurate predictions of immune responses. The project includes educational components to engage the community and train future researchers. By integrating artificial intelligence, the research aims to improve the understanding of antibody responses and immune interactions at multiple biological scales.
Why it matters
Potential benefit: If successful, this research could lead to improved strategies for predicting and enhancing immune responses to viral infections, potentially leading to better treatments and vaccines.
How similar studies have gone: Other research initiatives utilizing advanced modeling and artificial intelligence have shown promise in understanding immune responses, suggesting that this approach could yield significant insights.
Where this research is happening
-
Duke University
Durham, United States Active
Researchers
- Principal investigator: Chan, Cliburn C — Duke University
- Study coordinator: Chan, Cliburn C
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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.