Using artificial intelligence to understand how severe influenza infections can be predicted.
Official title: Identifying Influenza Virus Infection Severity and Outcome Signatures Through Artificial Intelligence-driven Analyses
Funded at J. Craig Venter Institute, INC. · NIH-10659219 · Data updated 2026-11-12
This study is looking at how artificial intelligence can help predict how serious flu infections might be for different people by looking at their health and environmental factors, so doctors can better treat and prevent the flu in those who are most at risk.
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 | 2023 |
| Award (this year) | $752,712 |
| NIH project number | 5R01AI170111-02 |
| Project ID | NIH-10659219 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children and individuals with chronic conditions such as diabetes, obesity, and cardiovascular diseases.
✕Less likely to help
Patients who are healthy and do not have any chronic conditions or risk factors for severe influenza may not benefit from this research.
What this research studies
This research investigates how artificial intelligence can analyze various factors to predict the severity of influenza infections. By integrating multiple datasets, including patient health metrics and environmental influences, the study aims to identify patterns that indicate how different individuals may respond to the virus. This approach could help clinicians make more informed decisions about treatment and prevention strategies for those at higher risk. The research focuses on understanding the complex interactions between chronic conditions and influenza outcomes.
Why it matters
Potential benefit: If successful, this research could lead to improved prediction and management of influenza severity, ultimately saving lives and reducing healthcare costs.
How similar studies have gone: Previous research has shown promise in using artificial intelligence to analyze health data for predicting disease outcomes, suggesting that this approach could be effective.
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.