Translational Bioinformatics
Though a comparatively young field, translational
bioinformatics has become a crucial discipline within the era of personalized and precision medicine. Advances in biological methods and technologies have opened a replacement realm of possible observations. The invention of the microscope enabled doctors and researchers to form observations at the cellular level. the arrival of the X-ray, and later of resonance and other imaging technologies, enabled visualization of
tissues and organs never before possible. Each of those technological advances necessitates a companion advance within the methods and tools wont to analyze and interpret the results. With the increasingly common use of technologies like DNA and RNA sequencing, DNA microarrays, and high-throughput proteomics and metabolomics, comes the necessity for novel methods to show these new sorts of data into new
information which new
information into new knowledge. That new knowledge, in turn, gives rise to action, providing insights regarding the way to treat disease and ideally the way to prevent it within the first place. consistent with the American
Medical Informatics Association (AMIA), translational
bioinformatics (hereafter “TBI”) is “the development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health”. Put more simply, it's the event of methods to rework massive amounts of knowledge into health.
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