Personalized Nutrition: Engineering Dietary Recommendations

Personalized nutrition represents a transformative shift in dietary guidance, integrating genomics, metabolomics, behavioral science, and technological innovations to craft individualized dietary recommendations. This paper examines the scientific, technological, and ethical dimensions of personalized nutrition, examining its foundations in nutrient biology, metabolic processes, and genetic variability. Despite its promise, personalized nutrition faces skepticism due to inconsistent outcomes and ethical concerns surrounding data use. With the rise of machine learning, advanced diagnostics, and digital health platforms, the feasibility of real-time, individualized dietary guidance is increasing. However, challenges remain in standardizing methodologies, translating complex biological data into actionable insights, and safeguarding personal information. This review synthesizes current advancements, identifies gaps, and proposes a holistic, ethically responsible framework for implementing personalized nutrition at scale. Keywords: Personalized Nutrition, Nutrigenomics, Nutrigenetics, Metabolic Typing, Dietary Recommendations, Macronutrients and Micronutrients.