Aman Shrivastav
ABESIT Engineering College
Ghaziabad, India
Abstract
Pharmacogenomics represents a rapidly evolving field that merges pharmacology and genomics to tailor medication regimens to individual genetic profiles. In the context of antibiotic therapy, genetic variability may influence both pharmacokinetics and pharmacodynamics, affecting drug efficacy and safety. This study evaluates current research findings and implements an original survey to investigate the role of pharmacogenomics in optimizing antibiotic therapy. A literature review covering works up to 2018 was conducted, and a mixed-methods approach—comprising both quantitative analysis and qualitative survey data—was employed to assess how genetic testing can influence clinical decision-making in antibiotic prescribing. Statistical analysis of patient data, complemented by a survey of clinicians, indicates that pharmacogenomic insights could significantly reduce adverse drug reactions and enhance treatment outcomes by providing a more personalized approach. These findings underline the need for integrated genomic testing protocols in clinical settings, and they offer a framework for future research to validate and implement pharmacogenomic-guided therapy.
Keywords
Pharmacogenomics; Antibiotic Therapy; Personalized Medicine; Genetic Variability; Clinical Outcomes.
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