Personalized medicine is an evolving paradigm that aims to tailor therapeutic interventions to individual patient characteristics. With a growing understanding of the genetic, epigenetic, and molecular mechanisms underlying diseases, tailored therapies are becoming more feasible and effective. This review highlights the significant advancements in personalized medicine, focusing specifically on pharmacological strategies. The article explores the integration of genomics, transcriptomics, proteomics, and metabolomics in drug development and therapy optimization. Pharmacogenomics, the customization of drug therapy based on an individual's genetic makeup, receives particular emphasis. This leads to the identification of specific biomarkers that can predict therapeutic response, drug toxicity, and susceptibility to various diseases. Together with computational tools and artificial intelligence, these advancements contribute to tailored treatment plans for patients with conditions such as cancer, cardiovascular diseases, and neurological disorders. We also highlight the challenges and ethical considerations in implementing personalized medicine, such as data privacy, cost-effectiveness, and accessibility. We outline future prospects and ongoing research in this field, highlighting the importance of collaborative efforts between researchers, clinicians, pharmacists, and regulatory authorities.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2174/0118722083359334250116063638 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!