Fang Lab

Research focus

NIH R01 · 2025

iPAT:Intelligent Diet Quality Pattern Analysis for Harmonized MA-National Trials

PROJECT SUMMARY A decade ago, the U.S. Dietary Guidelines Advisory Committee recommended dietary pattern approaches to examine relationships between diet and health outcomes. Meanwhile, longitudinal dietary data have become increasingly available. However, methods are underdeveloped for characterizing dynamic diet-quality variations and remain rudimentary for validating longitudinal diet-quality patterns, thus, leading to unclear evidence for assessing diet-health relationships and formulating dietary guidelines. A noticeable gap exists between the dietary pattern literature and the fast-growing statistical learning field with explosive growth of artificial intelligence algorithms. We…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.