Predicting how long and how broadly flu vaccines protect people

Towards a predictive understanding of influenza immunity through experimental data integration, iterative model development, and rigorous assessment of model quality

['FUNDING_U01'] · LA JOLLA INSTITUTE FOR IMMUNOLOGY · NIH-11249679

This project uses immune and genetic data to predict how long and how broadly flu vaccines protect people.

Quick facts

Phase['FUNDING_U01']
Study typeNih_funding
SexAll
SponsorLA JOLLA INSTITUTE FOR IMMUNOLOGY (nih funded)
Locations1 site (LA JOLLA, UNITED STATES)
Trial IDNIH-11249679 on ClinicalTrials.gov

What this research studies

If you take part, researchers will combine existing flu vaccine datasets with new blood and genetic samples to measure immune cells and responses over time. They will build computer models that learn which immune and genetic features link to broader and longer-lasting vaccine protection. The team will host an annual public prediction contest to see how well models forecast vaccine outcomes on new data. Results will focus on markers that could indicate who might need different vaccine strategies or boosters.

Who could benefit from this research

Good fit: People who received seasonal influenza vaccines and are willing to provide blood samples, vaccination history, and basic health information are ideal candidates.

Not a fit: People who are unwilling to provide blood or genetic samples, who have never had flu vaccines, or who cannot attend clinic visits are unlikely to be involved or directly helped by this project.

Why it matters

Potential benefit: Could help tailor flu vaccines and booster timing so people get longer and broader protection.

How similar studies have performed: Previous systems-immunology studies have identified immune markers linked to vaccine responses, but combining many datasets with an open prediction contest is a newer approach.

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.

View on NIH RePORTER →

Last reviewed 2026-05-15 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.