Artificial Intelligence in Genomics: A Data Science Approach to Precision Medicine

Abstract

Artificial Intelligence (AI) is revolutionizing the field of genomics, providing powerful tools for decoding complex biological data and enabling transformative progress in precision medicine. By leveraging data science methodologies such as machine learning, deep learning, and natural language processing, AI facilitates the identification of genetic variants, prediction of disease susceptibility, and customization of therapeutic strategies. The integration of AI in genomic research enables high-throughput analysis of large-scale datasets, including whole-genome sequencing, transcriptomics, and epigenomics, thereby accelerating biomarker discovery and disease modeling. These advancements contribute significantly to the realization of precision medicine, where medical decisions and treatments are tailored to the individual genetic makeup, lifestyle, and environment of patients.