PRECISION MEDICINE AND GENOMICS: A COMPREHENSIVE REVIEW OF IT-ENABLED APPROACHES

Abstract

This review delves into Information Technology's (IT) transformative impact on precision medicine and genomics, spotlighting the pivotal role of bioinformatics, data mining, machine learning, and blockchain technologies in advancing personalized healthcare. A comprehensive analysis outlines how these IT-enabled approaches facilitate the analysis, interpretation, and application of vast genomic data sets, thereby enhancing disease prediction, diagnosis, and treatment on an individual level. Despite the promising advancements, the review also addresses significant challenges, including data complexity, interoperability, ethical considerations, and the digital divide, underscoring the necessity for multidisciplinary collaboration and innovation to overcome these hurdles. The paper concludes by emphasizing the potential of emerging technologies and patient-centred care in realizing the vision of precision medicine, which promises improved healthcare outcomes through personalized treatment strategies. Keywords:  Precision Medicine, Genomics, Bioinformatics, Machine Learning, Data Security.