Drug Repurposing in Personalized Medicine: Translational Pathways and Recommendations
This review examines the integration of drug repurposing and personalized medicine as complementary approaches to transforming healthcare delivery. Drug repurposing identifies new therapeutic uses for existing medications with established safety profiles, while personalized medicine tailors treatments to individual patient characteristics. This integration offers reduced development time and costs, expanded options for rare and complex diseases, and targeted interventions based on patient-specific biomarkers. The manuscript explores translational pathways, including drug-centric, target-centric, and disease-centric approaches, as well as emerging computational and AI methodologies. Case studies in neurological disorders, oncology, and seizure disorders demonstrate successful applications. Despite promising outcomes, challenges persist across regulatory frameworks, intellectual property protection, data integration, and the management of biological variability among patients. Recommendations include strengthening regulatory support, developing robust validation pipelines, promoting open-source, collaborative models, and leveraging AI and big data technologies. Through coordinated stakeholder efforts, drug repurposing in personalized medicine can become a cornerstone of precision healthcare, providing more effective, patient-tailored treatments.
Institutions
- The University of Texas at San Antonio Health Science Center (US)
- Sechenov University (RU)
- University of Ibadan (NG)
- Vanderbilt University (US)
- Kwame Nkrumah University of Science and Technology (GH)
- Georgia Southern University (US)
- Bennett Aerospace (United States) (US)
- Centre for Global Health Research (CA)
- Ladoke Akintola University of Technology (NG)
- The University of Texas at San Antonio (US)
Publication Details
- Journal
- German Journal of Pharmaceuticals and Biomaterials
- Published
- 2025-12-18
- DOI
- https://doi.org/10.5530/gjpb.2025.3.7
- Primary Topic
- Pharmacogenetics and Drug Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00