Intelligent Diet Pattern Analysis for Harmonized National Trials
Official title: iPAT:Intelligent Diet Quality Pattern Analysis for Harmonized MA-National Trials
Funded at Yeshiva University · NIH-11523281 · Data updated 2026-11-12
A project to develop smart methods for tracking how diet quality changes over time across large studies to better understand diet and health.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yeshiva University NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | July 15, 2021 |
| Project end | June 30, 2027 |
| Funding year | 2025 |
| Award (this year) | $652,464 |
| NIH project number | 7R01DK129432-05 |
| Project ID | NIH-11523281 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults participating in long-term dietary studies or trials who contribute dietary data and possibly biospecimens.
✕Less likely to help
General public not enrolled in the studies or who do not contribute longitudinal dietary data may not directly benefit.
What this research studies
This grant aims to create advanced, visualization-driven methods to identify and validate how people's diet quality evolves over many years. It will harmonize data from multiple long-term studies and apply new analytics to reveal diet-health patterns. The work will involve collaboration across several large cohorts and randomized trials to build a robust framework that can be used to inform dietary guidelines. By combining longitudinal dietary data with modern AI approaches, the project seeks clearer links between diet patterns and health outcomes.
Why it matters
Potential benefit: If successful, this could lead to more accurate dietary guidelines and personalized nutrition recommendations based on how diet quality changes over time.
How similar studies have gone: Previous research has shown promise with harmonized data and trajectory analyses, but this project aims to scale and validate across numerous cohorts.
Where this research is happening
-
Yeshiva University
New York, United States Active
Researchers
- Principal investigator: Fang, Hua — Yeshiva University
- Study coordinator: Fang, Hua
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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.