The Algorithmic Plate: AI-Driven Inverse Nutrient Design and the Emergence of Digital Nutrient Specification
REYED M R
AI-driven nutrigenomics integrates genomic and microbial data to design personalized nutrients. This perspective introduces Digital Nutrient Specification, Functional Deficiency Scoring, and genotype/polybiome-aligned biomanufacturing for precision nutrition.