Translational Medicine

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Translational science aims to apply biomarkers discovered in preclinical research for predicting potential clinical outcomes. At the same time, data generated in clinical trials can be used to enhance early stage discovery by suggesting potential safety and efficacy tests for animal models and in vitro experiments. Translational research relies on a continuous stream of knowledge between multiple silos and disciplines that requires close monitoring and consistent semantics. The systems biology approach developed by Thomson Reuters provides integrated databases and comprehensive tools well suited for translational research.

  • Biomarkers in Translational Medicine
  • Data Management and Data Mining Approaches
  • Drug Development Process
  • Case Studies and Reports

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