Translational Bioinformatics


Translational bioinformatics is referred as the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data in particular, into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics is newly found knowledge from these integrative efforts that can be disseminated to a variety of stakeholders, including biomedical scientists, clinicians, and patients. Issues relating to database management, administration, or policy will be coordinated through the Clinical Research Informatics domain.

Applications: The health system will be structured to take full advantage of available knowledge to improve the health of individuals and the population. The health system will support innovation and the generation, dissemination, and application of new knowledge. The health system will encourage and support citizens and patients who actively manage their health.



Web Resources:

http://www.ncibi.org/gateway/pdf/Omenn.PUMC.Computational%20Medicine.NCIBI.3.23.10.pdf

https://www.amia.org/inside/stratplan


Related Terminology:

  • Immune Tolerance Network
  • Clinical and Translational Science Awards (CTSA)
  • caBIG.
  • Genome Medicine

Citations/References:
https://www.amia.org/inside/stratplan

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