NIH-funded research NIH-funded research

AI-powered math and machine learning for bioscience and drug discovery

Official title: Discovery-Driven Mathematics and Artificial Intelligence for Biosciences and Drug Discovery

Funded at University of Georgia · NIH-11577889 · Data updated 2026-11-12

A broad NIH grant supports using advanced math and AI to better predict viral variants and aid drug discovery, with the goal of helping patients by accelerating pandemic response.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionUniversity of Georgia
NIH-funded
Lab location1 site (Athens, United States)
Project startSeptember 5, 2023
Project endJuly 31, 2028
Funding year2026
Award (this year)$373,619
NIH project number7R35GM148196-04
Project IDNIH-11577889 on NIH RePORTER

Who could benefit from this research

Could help

No specific patient enrollment is described; this grant is focused on computational methods and preclinical drug discovery.

Less likely to help

Direct patient participation is not described; benefits may be indirect through faster drug development.

What this research studies

This grant backs a project at the University of Georgia that combines sophisticated math with artificial intelligence to improve bioscience tools and drug design. The work focuses on understanding how viruses like SARS‑CoV‑2 evolve and on building AI systems that can forecast new variants and guide drug development. By integrating genome information with mathematical models, the team aims to create AI platforms that could speed up identifying treatments and vaccines. The approach builds on prior successes in predicting mutation sites and participating in global drug-design challenges. If successful, it could shorten the time from viral emergence to effective medical countermeasures.

Why it matters

Potential benefit: If successful, the project could speed the discovery of antiviral drugs and improve preparedness for future variants, potentially reducing illness and saving lives.

How similar studies have gone: Previous work has shown promise in forecasting viral mutations and aiding drug design, with recognition in international drug-design challenges.

Where this research is happening

  • University of Georgia
    Athens, United States
    Active

Researchers

  • Principal investigator: Wei, Guowei — University of Georgia
  • Study coordinator: Wei, Guowei

Related research

Other NIH-funded projects on the same topics.

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.
Last reviewed 2026-11-14 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.