Artificial Intelligence for Nutrition Guidance and Systems Center (AIMINGS)
Official title: Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
Funded at Graduate School of Public Health and Health Policy · NIH-11389433 · Data updated 2026-11-12
AIMINGS is a center that uses AI and data science to improve personalized nutrition recommendations by turning big nutrition data into clear, reliable insights.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Graduate School of Public Health and Health Policy NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | January 19, 2022 |
| Project end | June 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $1,126,235 |
| NIH project number | 5U54TR004279-05 |
| Project ID | NIH-11389433 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals interested in personalized nutrition and health, especially those contributing or using large nutrition datasets.
✕Less likely to help
People not involved in nutrition-related research or not in programs using AI-ready nutrition data may see little direct benefit.
What this research studies
This center focuses on making nutrition data AI-ready and easier to analyze so that researchers can better understand how diet, genes, microbiome, and other personal factors affect nutrition and health. It will develop methods to distill noisy datasets into usable information and create tools to enable causal, not just correlative, conclusions about nutrition. The project includes building the Data Distiller for Precision Nutrition and new imputation techniques to handle missing data in nutrition studies. By improving data quality and analytic approaches, AIMINGS aims to support more precise, individualized nutrition guidance.
Why it matters
Potential benefit: If successful, patients could receive more accurate, personalized nutrition recommendations based on reliable data analyses.
How similar studies have gone: Previous work shows promise in AI-driven data distillation and causal analysis for nutrition, but this center aims to advance these methods at a larger scale.
Where this research is happening
-
Graduate School of Public Health and Health Policy
New York, United States Active
Researchers
- Principal investigator: Lee, Bruce Y — Graduate School of Public Health and Health Policy
- Study coordinator: Lee, Bruce Y
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.