Artificial Intelligence for Precision Nutrition and Sustainable Healthy Diets
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".
Deadline for manuscript submissions: 25 November 2026 | Viewed by 161
Editor
Interests: food AI; dietary assessment; deep learning for healthcare applications; food recommendation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is rapidly transforming nutrition science and creating new opportunities to advance precision nutrition and sustainable healthy diets. As global challenges related to chronic diseases, aging populations, food security and environmental sustainability continue to grow, AI-driven approaches provide powerful tools to bridge human health and sustainable food systems.
By integrating diverse data sources such as dietary intake, wearable sensors, health records, biomarkers and environmental indicators, AI enables more accurate dietary assessments and AI-driven personalized nutrition strategies. Recent advances in generative AI, large language models (LLMs), multimodal learning and emerging foundation models are accelerating innovation in nutrition research and digital health. These technologies support intelligent dietary guidance, predictive health modeling and scalable digital solutions that help individuals and populations make healthier and more sustainable food choices.
This Special Issue, entitled “Artificial Intelligence for Precision Nutrition and Sustainable Healthy Diets”, invites high quality original research and review articles exploring cutting-edge applications of AI and digital technologies in nutrition science, personalized health and sustainable food systems. Interdisciplinary studies connecting artificial intelligence, nutrition, public health and planetary health are particularly encouraged.
Kind regards,
Dr. Frank Po Wen Lo
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in nutrition
- precision nutrition
- sustainable healthy diets
- large language models
- generative AI
- foundation models
- multimodal AI
- dietary assessment
- food recognition and nutrition estimation
- AI driven personalized nutrition
- digital twins for nutrition
- nutrition informatics
- sustainable food systems
- planetary health
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