Translational Pharmacology: A Review
Keywords:
Clinical pharmacology, Computational Modelling, Predictive Models, Translational PharmacologyAbstract
With an emanate discipline “Translational Pharmacology” aims to reconcile the gap between the basic scientific research and clinical application. Representing an extension of clinical pharmacology, translational pharmacology mainly focuses on the application of mechanistic insights from basic research to clinical practice. This includes target identification, pre-clinical testing, all stages of drug development clinical trials and post-marketing surveillance. For the benefit of patients, this discipline aims to ensure that discoveries made in laboratory settings are effectively translated into therapeutic interventions. To understand drug action and optimize therapeutic strategies translational pharmacology provides a comprehensive framework by integrating various scientific domains. Translational pharmacology’s future can be changed by implanting usage of advanced computational modelling, improving collaborative research efforts between academia and industry, integration of multi-omics data and continued advancements in system pharmacology and data analytics can improve the drug development efficacy and accuracy. For enhancing the translation of research findings into clinical practice, efforts must focus on developing validating biomarkers, cost efficient and better predictive models.
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