Use of Artificial Intelligence to Fight Malnutrition and Food Insecurity
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition and Public Health".
Deadline for manuscript submissions: 5 March 2025 | Viewed by 192
Special Issue Editor
Interests: dietary behavior; public health nutrition; physical activity; obesity; diabetes; cognitive health; food environment; built environment; cost-benefit analysis; cost-effectiveness analysis; microsimulation; machine learning; policy analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the transformative potential of artificial intelligence (AI) in reducing malnutrition and food insecurity. AI-driven solutions are already making significant impacts, such as using big data analytics for comprehensive food insecurity assessments, AI-powered nutritional interventions tailored to the needs of vulnerable populations, and AI-based early warning systems for predicting and mitigating food shortages. Additionally, AI is crucial in the policy planning and implementation of food security, in optimizing food assistance programs, and in enhancing food security in post-disaster scenarios. By improving the efficiency of food distribution networks and the nutritional quality of food aid, AI technologies are driving sustainable and equitable access to nutritious food. This Special Issue will showcase the latest advancements and foster collaborative efforts to combat malnutrition and food insecurity through interdisciplinary research and real-world practices.
Dr. Ruopeng An
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep learning
- artificial neural network
- data science
- nutrition
- diet
- population health
- public health
- malnutrition
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