Using machine learning to improve flu vaccines

Machine Learning to Modulate Influenza Immunity

NIH-funded research Vanderbilt University · NIH-11017530

This study is working on using smart computer technology to create better flu vaccines that can help protect you longer and more effectively against the virus.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionVanderbilt University NIH-funded
Lab location1 site (Nashville, UNITED STATES)
Project IDNIH-11017530 on NIH RePORTER

What this research studies

This research focuses on developing advanced computational tools that utilize machine learning to create more effective vaccines against influenza. By integrating artificial intelligence with traditional biology, the project aims to design vaccines that provide broader and longer-lasting immunity. The approach includes innovative strategies such as targeting specific parts of the virus and refining vaccine candidates based on experimental feedback. Patients may benefit from vaccines that are more effective in preventing influenza infections.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals who are at higher risk for influenza, such as the elderly, young children, and those with compromised immune systems.

Not a fit: Patients who are not at risk for influenza or those who have already received a flu vaccine may not receive significant benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to the development of a more effective flu vaccine that provides broader protection against various strains of the virus.

How similar studies have performed: Other research has shown promise in using machine learning for vaccine development, indicating that this approach could lead to significant advancements in immunization strategies.

Where this research is happening

Nashville, 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.
Last reviewed 2026-06-09 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.