Personalized Nutrition in the Era of Digital Health: A New Frontier for Managing Diabetes and Obesity

The integration of digital health technologies with personalized nutrition offers a transformative approach for managing diabetes and obesity. This emerging paradigm extends beyond generic dietary recommendations by tailoring interventions based on genetic, epigenetic, microbiome, and real-time metabolic data. Tools such as continuous glucose monitors (CGMs), artificial intelligence (AI)-driven meal planning, and mobile health applications enable dynamic dietary adjustments and improved disease monitoring. Data privacy, cost disparities, and the need for robust clinical validation are challenges that remain to be overcome, even if there is a potential benefit. This review examines the synergy between digital health technologies and precision medicine by elucidating the potential of personalized nutrition in chronic disease management. Our literature review demonstrates that tailored diet programs can enhance metabolic well-being and overcome theoretical and practical challenges to their widespread implementation.

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Publication Details

Journal
Food Science & Nutrition
Published
2025-09-26
DOI
https://doi.org/10.1002/fsn3.71006
Citations
13
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
23.62

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article

Personalized Nutrition in the Era of Digital Health: A New Frontier for Managing Diabetes and Obesity

A.I. Aljameel, Md. Sakhawot Hossain, Ali Ikram, Faiyaz Ahmed et al.
13 citations
Food Science & Nutrition
Nutrition, Genetics, and Disease
23.62
article

Personalized Nutrition in the Era of Digital Health: A New Frontier for Managing Diabetes and Obesity

A.I. Aljameel, Md. Sakhawot Hossain, Ali Ikram, Faiyaz Ahmed, Mohammad Javed Ali, Sammra Maqsood, Ammar M. AL-Farga, Muhammad Tayyab Arshad
article en
13 citations

Abstract

The integration of digital health technologies with personalized nutrition offers a transformative approach for managing diabetes and obesity. This emerging paradigm extends beyond generic dietary recommendations by tailoring interventions based on genetic, epigenetic, microbiome, and real-time metabolic data. Tools such as continuous glucose monitors (CGMs), artificial intelligence (AI)-driven meal planning, and mobile health applications enable dynamic dietary adjustments and improved disease monitoring. Data privacy, cost disparities, and the need for robust clinical validation are challenges that remain to be overcome, even if there is a potential benefit. This review examines the synergy between digital health technologies and precision medicine by elucidating the potential of personalized nutrition in chronic disease management. Our literature review demonstrates that tailored diet programs can enhance metabolic well-being and overcome theoretical and practical challenges to their widespread implementation.

Food Science & NutritionVol. 13(10)
Prince of Songkla University (TH), University of Lahore (PK), Qassim University (SA), Daffodil International University (BD), Imam Mohammad ibn Saud Islamic University (SA), University of Jeddah (SA), University of Faisalabad (PK), University of Agriculture Faisalabad (PK)
Al-Imam Muhammad Ibn Saud Islamic University
Openalex Percentile: Top 0%
Nutrition, Genetics, and Disease
23.62
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