Bioinformatics Approaches to Personalized Health and Wellness

Abstract

Personalized health and wellness is an emerging field that uses individual biological data to tailor healthcare strategies and lifestyle interventions. Bioinformatics plays a central role in this area by enabling the analysis of genomic, transcriptomic, proteomic, and metabolomic data to understand individual health profiles. This article reviews the bioinformatics approaches used in personalized health and wellness, focusing on precision medicine, genetic testing, biomarker discovery, and lifestyle optimization. We discuss how these tools are applied to optimize health outcomes, prevent disease, and personalize wellness strategies based on an individual's unique genetic makeup and lifestyle.