PRECISION MEDICINE AND GENOMIC DATA ANALYSIS: PROGRESS AND CHALLENGES

Abstract

Precision medicine, driven by genomic data analysis, tailors medical care to individual patients based on their genetic makeup. This review outlines its progress and challenges. Advances in next-generation sequencing and multi-omics techniques have enabled deeper insights into diseases. Genomic data has guided targeted therapies in oncology, personalized drug treatments, and diagnosis of rare genetic disorders. However, challenges persist: managing vast datasets, integrating multi-omics and clinical data, interpreting findings, and addressing ethical and privacy concerns. Future trends involve AI-driven interpretation, single-cell dynamics exploration, and functional genomics for variant impact assessment. Overcoming these challenges will facilitate equitable access and unleash precision medicine's transformative potential in healthcare.