Abstract
The integration of genomics into pharmacology has revolutionized the prediction of drug responses, enabling the personalization of medicine. Advances in next-generation sequencing and pharmacogenomics allow for the identification of genetic variants that influence drug efficacy and toxicity. By analyzing genetic data, researchers can develop predictive models that optimize drug selection and dosing based on individual patient genomes. This approach is particularly relevant in cancer treatment, where targeting specific genetic mutations enhances therapeutic outcomes. However, challenges remain in the annotation of non-coding regions and ethical concerns related to personalized medicine. This paper examines the current advancements in genomic technologies, key genetic variants affecting drug response, and their clinical applications, along with the potential future directions in this field. Keywords: Genomics, Pharmacogenomics, Personalized Medicine, Next-Generation Sequencing, Drug Response Prediction.
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