Abstract
Data-driven personalized nutrition (PN) can address the complexities of food systems in megacities, aiming to enhance food resilience. By integrating individual preferences, health data and environmental factors, PN can optimize food supply chains, promote healthier dietary choices and reduce food waste. Collaborative efforts among stakeholders are essential to implement PN effectively.
| Original language | English |
|---|---|
| Journal | Nature Food |
| Volume | 5 |
| Issue number | 4 |
| Pages (from-to) | 267-269 |
| Number of pages | 3 |
| DOIs |
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| Publication status | Published - 04.2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
DFG Research Classification Scheme
- 2.22-05 Nutritional Sciences
- 4.51-02 Urbanism, Spatial Planning, Transportation and Infrastructure Planning, Landscape Planning
- 4.41-04 Traffic and Transport Systems, Intelligent and automated Traffic
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