Authors: Ramya Reddy
Abstract: AI-powered nutritional genomics represents a groundbreaking convergence of genetic science and artificial intelligence, aiming to create personalized dietary recommendations based on individual genetic profiles. By analyzing genetic variations, particularly single nucleotide polymorphisms (SNPs), and integrating data from wearable devices, microbiome analyses, and lifestyle trackers, AI can interpret complex biological patterns to optimize nutrition and health outcomes. This approach offers significant benefits, including enhanced disease prevention, improved diet adherence, and personalized health optimization. However, it also raises challenges such as data privacy, algorithmic bias, and accessibility. As the field advances, it holds the potential to revolutionize healthcare by shifting from generalized dietary guidelines to truly personalized nutrition strategies tailored to each person’s unique biology.
DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.132
