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Dietary nutrition planning plays an important role in chronic disease management and maintaining a healthy body. In applications, it must simultaneously satisfy personalized constraints and reasonable multidimensional nutritional goals. These two aspects often conflict, and user constraints evolve with feedback, result...
Computational Nutrition is an emerging interdisciplinary field that addresses complex challenges in nutrition and health through computational methods and multimodal data. Major research directions include 1) prediction of personalized metabolic responses to foods, 2) causal inference and individualized treatment effec...
MC-RAG is presented, a structure-driven RAG system that reformulates retrieval as a subgraph matching problem over a knowledge graph that performs interpretable, structure-aware, and constraint-consistent retrieval and generation.
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