Abstract:
Personalized nutrition (PN), also known as precision nutrition, refers to tailored nutritional recommendations aimed at the promotion and maintenance of health, as well as the prevention of diseases. While there are clear general scientific guidelines for healthy eating, different foods have different effects on each person. The current health status, genetics, gut microbiome, metabolic profile, physical activity level, dietary pattern, food environment, and other socioeconomic characteristics all play a role.
Accelerating advancement in personalized nutrition will require:
• Enabling the development of user-friendly tools applying for technological advances, sensors, artificial intelligence, big data management, and analytics.
• Introducing the tools available to healthcare professionals and service providers to ensure interoperability and broader adoption of PN as medicine shifts toward preventive and personalized approaches.
• System-wide collaboration between stakeholders to advocate continued support for evidence-based PN, develop the necessary regulatory framework, and ensure a high quality of such interventions.
• Utilizing personalized nutrition ensures that the foods a person eats fit their current health status.
Using these principles in digital health tools allows new opportunities to automate the process. Combined, this ensures better access to the right types of nutrition for more people.
The adoption of wearable health devices and individualized health solutions grow as consumers get more educated about their health and seek out solutions that would allow them to prevent disease and stay healthy.
