Using AI to Understand Flu Severity and Outcomes
Official title: Identifying Influenza Virus Infection Severity and Outcome Signatures Through Artificial Intelligence-driven Analyses
Funded at J. Craig Venter Institute, INC. · NIH-10886560 · Data updated 2026-11-12
This project uses artificial intelligence to better understand why some people, especially children and older adults, get sicker from the flu.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | J. Craig Venter Institute, INC. NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | July 7, 2022 |
| Project end | June 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $744,912 |
| NIH project number | 5R01AI170111-03 |
| Project ID | NIH-10886560 on NIH RePORTER |
Who could benefit from this research
✓Could help
This research focuses on understanding flu severity in vulnerable groups, including children (0-11 years old) and older adults (65 years and older), especially those with chronic conditions like diabetes or heart disease.
✕Less likely to help
Patients not currently experiencing influenza or those outside the identified vulnerable age groups may not directly benefit from this specific research project.
What this research studies
This project uses advanced artificial intelligence to look at many different factors that influence how severe the flu can be for individuals. Researchers will combine various types of health information, like immune responses, genetics, and existing health conditions, to create a comprehensive picture. The goal is to build a system that can predict who is most at risk for severe flu outcomes. This understanding could help doctors make better decisions about patient care and potentially lead to more personalized treatments.
Why it matters
Potential benefit: If successful, this work could help doctors predict which patients are at higher risk for severe flu, allowing for more targeted and timely medical care.
How similar studies have gone: While individual factors influencing flu severity have been studied, this project's approach of integrating multiple data types with AI to predict outcomes is a novel strategy.
Where this research is happening
-
J. Craig Venter Institute, INC.
La Jolla, United States Active
Researchers
- Principal investigator: Dupont, Christopher L. — J. Craig Venter Institute, INC.
- Study coordinator: Dupont, Christopher L.
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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.