Deep Learning in Precision Nutrition: Tailoring Diet Plans Based on Genetic and Microbiome Data

Abstract

Personalized nutrition with the help of Artificial Intelligence (AI) is rapidly growing due to the opportunity to create individual diet plans based on genes, microbiota, and other specific indicators. Autonomous nutrition suggestions can be particularly beneficial when contrasted against outdated approaches to diets that incorporate general heath guidelines to a population. AI when applied to genetics data and microbiome sequences can offer highly customized nutrition solutions to improve not only health and avoid certain illnesses but also improve the quality of one’s life. Smart helps nutritionists and dietitians use real-time tracking technology to adjust plan, goals, and preferences of a user. In this paper, the author looks at enhancement of precision nutrition with the aid of AI in relation to metabolic health, disease, and performance. In addition, it considers the ethical issues connected to data protection and algorithms in the context of AIs used in the global approach to nutrition.