AI Article Synopsis
- The focus on improving healthcare efficiency and reducing patient dropout rates presents opportunities to utilize existing clinical data for drug development and reverse translation.
- The use of quantitative methods to transform clinical trial and real-world data into actionable insights is essential for driving innovation in this field.
- This text reviews recent examples of reverse translation and explores future possibilities for gathering important clinical information to enhance decision-making in drug development.
Article Abstract
With so much emphasis on reducing attrition and becoming more efficient in the delivery of healthcare, there are many opportunities to leverage existing clinical data in drug development and to foster the practice of reverse translation. The application of quantitative approaches to convert clinical trial and real-world data to knowledge will continue to drive innovation. Herein we discuss recent examples of reverse translation and consider future opportunities to capture critical clinical knowledge to inform decision-making in drug development.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5813105 | PMC |
| http://dx.doi.org/10.1002/cpt.897 | DOI Listing |
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