Pharmacogenomics: Tailoring Drug Therapies to Individual Genetic Profiles

Pharmacogenomics is the study of how an individual's genetic makeup influences their response to medications. By understanding genetic variations, pharmacogenomics aims to tailor drug therapies to optimize efficacy and minimize adverse effects, leading to personalized medicine. This emerging field integrates genetic information into clinical practice, offering a paradigm shift in the way drugs are prescribed. Pharmacogenomics holds significant potential in improving treatment outcomes for a wide range of diseases, including cancer, cardiovascular conditions, and psychiatric disorders. This article explores the principles of pharmacogenomics, its applications, challenges, and future directions in the field of personalized medicine.

Authors

Publication Details

Journal
Power System Technology
Published
2024-12-21
DOI
https://doi.org/10.52783/pst.1210
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36
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article

Pharmacogenomics: Tailoring Drug Therapies to Individual Genetic Profiles

Bandar Mohammad Alqahtani
1 citations
Power System Technology
Computational Drug Discovery Methods
0.36
article

Pharmacogenomics: Tailoring Drug Therapies to Individual Genetic Profiles

Bandar Mohammad Alqahtani
article en
1 citations

Abstract

Pharmacogenomics is the study of how an individual's genetic makeup influences their response to medications. By understanding genetic variations, pharmacogenomics aims to tailor drug therapies to optimize efficacy and minimize adverse effects, leading to personalized medicine. This emerging field integrates genetic information into clinical practice, offering a paradigm shift in the way drugs are prescribed. Pharmacogenomics holds significant potential in improving treatment outcomes for a wide range of diseases, including cancer, cardiovascular conditions, and psychiatric disorders. This article explores the principles of pharmacogenomics, its applications, challenges, and future directions in the field of personalized medicine.

Power System TechnologyVol. 48(4)
Openalex Percentile: Top 32%
Computational Drug Discovery Methods
0.36
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