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…
AI-driven meal planning combined with CGMs and mobile health apps enables dynamic dietary adjustments and improved monitoring that can enhance metabolic well-being for people managing diabetes and obesity.
Personalized nutrition using digital health and AI faces unresolved challenges including data privacy risks, cost disparities, and need for robust clinical validation before widespread use.
Review notes remaining barriers of data privacy, cost disparities, and lack of robust clinical validation for widespread implementation.
Evidence
- Peer-reviewedFood Science & Nutrition2025-09-26
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Truvace Impact Record TRV-2026-0488, v1: “Personalized Nutrition in the Era of Digital Health: A New Frontier for Managing Diabetes and Obesity.” Truvace, 2026-07-22. /record/TRV-2026-0488 (accessed at citation time). sha256 466acd1de66f7832…
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