Using artificial intelligence to understand how severe influenza infections can be predicted.

Identifying Influenza Virus Infection Severity and Outcome Signatures Through Artificial Intelligence-driven Analyses

NIH-funded research J. Craig Venter Institute, INC. · NIH-10659219

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 typeR01 grant
Study typeNIH-funded research
Funding institutionJ. Craig Venter Institute, INC. NIH-funded
Lab location1 site (La Jolla, United States)
Project IDNIH-10659219 on NIH RePORTER

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.

Who could benefit from this research

Good fit: Ideal candidates for this research include children and individuals with chronic conditions such as diabetes, obesity, and cardiovascular diseases.

Not a fit: Patients who are healthy and do not have any chronic conditions or risk factors for severe influenza may not benefit from this research.

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 performed: 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

La Jolla, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Cardiovascular Diseasescardiovascular disorder
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.