Nutrition, Genetics, and Disease

Últimos artículos

• Quantifying Hidden Salt for Precision Healthcare: Sodium Assessment via Joint-Factor Retrieval and Chain-of-Thought Inference

  Mingyu Huang, Weiqing Min, Yuehui Fang, Yuna He, Shuqiang Jiang · 22 de septiembre de 2026

  Precision healthcare, particularly for conditions like hypertension and cardiovascular disease, necessitates monitoring of dietary sodium intake. However, tracking this is hindered by the prevalence of hidden salt in cooking, such as sodium in soy sauce and ketchup. While recipes offer a valuable da…

• Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling

  Ying Jin, Weiqing Min, Mingyu Huang, Shuqiang Jiang · 26 de agosto de 2026

  A sustainable diet represents a multi-dimensional synergy among four essential pillars: nutrition adequacy, economic affordability, cultural acceptability, and environmental respect. Despite the prevalence of population-level sustainability modeling, practical implementation relies on effective indi…

• Precision Medicine for the Population-The Hope and Hype of Public Health Genomics

  JunBo Wu, Nathaniel Comfort · 16 de junio de 2026

  Public health is the most recent of the biomedical sciences to be seduced by the trendy moniker "precision." Advocates for "precision public health" (PPH) call for a data-driven, computational approach to public health, leveraging swaths of genomic "big data" to inform public health decision-making.…

• An LLM-RAG Approach for Healthy Eating Index-Informed Personalized Food Recommendations

  Yibin Wang, Yanjie Yang, Grace Melo Guerrero, Rodolfo M. Nayga Jr., Azlan Zahid · 18 de mayo de 2026

  Diet quality is a leading determinant of chronic disease risk. Advances in artificial intelligence (AI) have enabled food recommendation systems to adapt suggestions to user preferences and health goals. However, most current systems rely on loosely curated food databases and provide limited connect…

• Translating Dietary Standards into Healthy Meals with Minimal Substitutions

  Trevor Chan, Ilias Tagkopoulos · 17 de febrero de 2026

  An important goal for personalized diet systems is to improve nutritional quality without compromising convenience or affordability. We present an end-to-end framework that converts dietary standards into complete meals with minimal change. Using the What We Eat in America (WWEIA) intake data for 13…

• GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health

  Jiatan Huang, Zheyuan Zhang, Tianyi Ma, Mingchen Li, Yaning Zheng, Yanfang Ye, Chuxu Zhang · 27 de enero de 2026

  Nutritional interventions are important for managing chronic health conditions, but current computational methods provide limited support for personalized dietary guidance. We identify three key gaps: (1) dietary pattern studies often ignore real-world constraints such as socioeconomic status, comor…

• The Future of Food: How Artificial Intelligence is Transforming Food Manufacturing

  Xu Zhou, Ivor Prado, AIFPDS participants, Ilias Tagkopoulos · 21 de noviembre de 2025

  Artificial intelligence is accelerating a new era of food innovation, connecting data from farm to consumer to improve formulation, processing, and health outcomes. Recent advances in deep learning, natural language processing, and multi-omics integration make it possible to understand and optimize …

• Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes

  Ahmed A. Metwally, Heyjun Park, Yue Wu, Tracey McLaughlin, Michael P. Snyder · 7 de noviembre de 2025

  The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), beta-cell dysfunction, and incretin deficiency. This review demonstrates that continuous glucose monitoring and wearable…