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Showing posts with the label Personalized Medicine

Personalized Medicine Based on Your DNA: The Future of Tailored Healthcare

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*Introduction: A New Era in Medicine Imagine visiting your doctor and receiving a treatment plan designed specifically for your genetic makeup—no trial-and-error prescriptions, no “one-size-fits-all” therapies. Welcome to the world of Personalized Medicine, where your DNA becomes the blueprint for your health journey. As technology rapidly evolves, healthcare is undergoing a transformation. We’re moving away from generalized approaches to disease treatment and embracing precision medicine—a model of care that considers individual variability in genes, environment, and lifestyle. This article dives deep into how DNA-based medicine is revolutionizing healthcare, what it means for patients, and what the future holds. 🧬 What Is Personalized Medicine? Personalized medicine, also called precision medicine, is a medical model that uses information about an individual’s genetic profile, biochemistry, and personal health data to: • Diagnose disease early • Predict how a patient will respond t...

Whole Exome Sequencing (WES)

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  *Abstract - Whole Exome Sequencing (WES) is a targeted next-generation sequencing (NGS) approach that focuses on the protein-coding regions of the genome, comprising approximately 1–2% of the human genome but accounting for an estimated 85% of disease-causing variants. By enriching and sequencing exonic regions, WES offers a cost-effective strategy to identify variants with potential clinical relevance. This document provides a comprehensive 3,000-word overview of WES, encompassing its history, technical workflow, bioinformatics analysis, clinical and research applications, limitations, ethical considerations, and future directions. 1. Introduction The completion of the Human Genome Project in 2003 ushered in an era of genomic medicine, yet the prohibitive cost and scale of whole-genome sequencing (WGS) limited routine clinical adoption. Whole Exome Sequencing (WES), first described in 2009, strategically targets the approximately 30 million base pairs of coding sequence—reg...