Artificial Intelligence in Personalized Wellbeing and Nutrition
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".
Deadline for manuscript submissions: 15 November 2026 | Viewed by 1240
Editor
Interests: big data; health; data analysis; nutrition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue investigates the transformative role of artificial intelligence in redefining personalized wellbeing and nutrition. Modern nutrition science faces dual challenges: the complexity of individualized metabolic responses and the limitations of static dietary guidelines. This Special Issue investigates how artificial intelligence (AI) transforms personalized wellbeing through multimodal data integration and predictive precision. We spotlight AI methodologies that synergize machine learning, deep neural networks, and big data analytics to decode interactions between genomic predispositions, real-time biosensor data, dietary behaviors, and metabolic outcomes. This issue prioritizes three innovation tiers: (1) Predictive Modeling—Developing AI architectures for the early detection of nutrient deficiencies and diet-related chronic diseases; (2) Causal Mechanism Discovery—Advancing AI-driven frameworks to unravel causal relationships between diet, metabolism, gut microbes, and health; (3) Dynamic Intervention—Creating adaptive tools for real-time dietary monitoring, culturally sensitive meal planning, and microbiome-aware nutrition strategies.
We seek contributions demonstrating AI’s role in the following fields:
- Multimodal fusion of omics data, wearable metrics, and dietary patterns;
- Computer vision-enhanced food intake quantification;
- Nutrigenomic prediction of individualized nutrient requirements.
Submissions may span algorithm development, clinical validation trials, or population-level implementation studies. Cross-disciplinary work bridging computational nutrition, preventive medicine, and food science is particularly encouraged.
Dr. Jinlin Zhu
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multimodal nutrition research
- personalized health prediction
- AI in nutritional epidemiology
- deep learning for diet analysis
- precision meal planning
- nutrigenomics AI
- metabolic pattern recognition
- automated nutritional assessment
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