Artificial Intelligence-Enhanced Nutritional Approaches: Dietary Innovations and Chronic Disease Management
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition and Public Health".
Deadline for manuscript submissions: 15 November 2026 | Viewed by 17
Special Issue Editor
Interests: cardiometabolic and nutritional epidemiology; genetic epidemiology and Mendelian randomization; multiomic data analysis; secondary analysis of large datasets; systematic reviews and meta-analysis
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI) is transforming the field of nutrition and chronic disease research, offering unprecedented opportunities to refine dietary assessment, predict disease risk, and design personalized interventions. This Special Issue aims to highlight cutting-edge research that leverages AI for disease prevention, diagnosis, and management through nutritional strategies. The areas invited to explore include:
- mechanistic discovery of interactions among diet, metabolism, microbiome and disease via AI-driven analytics;
- AI or wearable technologies in food and nutrition assessment and monitoring;
- applications of AI or wearable technologies in food and nutrition assessment and monitoring or behavior change supports for chronic disease management;
- future direction of deploying AI-enabled personalized nutrition in real-world chronic disease settings.
Dr. Pei Qin
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- personalized nutrition
- chronic disease prevention
- precision health
- multi-omics integration
- digital health
- dietary assessment
- predictive modeling
- metabolomics
- microbiome
- nutrition epidemiology
- data-driven interventions
- health informatics
- precision medicine
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