{"title":"Personalized nutrition as the catalyst for building food-resilient cities","authors":"Anna Ziolkovska, Christian Sina","doi":"10.1038/s43016-024-00959-2","DOIUrl":null,"url":null,"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.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":null,"pages":null},"PeriodicalIF":23.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature food","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43016-024-00959-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
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.