Models to predict the best flu vaccine strains

Predictive fitness models for influenza vaccine strain selection

NIH-funded research Icahn School of Medicine at Mount Sinai · NIH-11000769

This study is looking at how our immune system responds to the flu virus, which changes quickly, to help predict which flu strains will be most common next season, so we can choose better vaccine options to keep you protected.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionIcahn School of Medicine at Mount Sinai NIH-funded
Lab location1 site (New York, United States)
Project IDNIH-11000769 on NIH RePORTER

What this research studies

This research focuses on understanding how the human immune system interacts with the influenza virus, which changes rapidly to evade immunity. By developing computational models, the project aims to predict which strains of the flu virus are likely to dominate in the upcoming flu season. This involves analyzing the genetic and antigenic diversity of circulating viruses and how they relate to the immunity present in the human population. The goal is to improve the selection of vaccine strains to enhance protection against influenza.

Who could benefit from this research

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

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

Why it matters

Potential benefit: If successful, this research could lead to more effective flu vaccines that better match circulating virus strains, ultimately reducing flu-related illnesses and hospitalizations.

How similar studies have performed: Other research has shown promise in using computational models to predict viral evolution and improve vaccine strain selection, indicating that this approach has potential for success.

Where this research is happening

New York, 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 2026-06-13 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.