Open Access
Yearb Med Inform 2012; 21(01): 130-134
DOI: 10.1055/s-0038-1639443
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Georg Thieme Verlag KG Stuttgart

Translational Bioinformatics Embraces Big Data

N. H. Shah
1   Stanford Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, California, United States of America
› Author Affiliations

N.H.S. is funded by the US National Institute of Health Roadmap (U54 HG004028 and U54 LM008748). The ideas around mass phenotyping benefited from discussion with Lawrence Hunter and participants at the Discovery Informatics Workshop 2012, supported by the National Science Foundation.
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Publication History

Publication Date:
10 March 2018 (online)

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Summary

We review the latest trends and major developments in translational bioinformatics in the year 2011-2012. Our emphasis is on highlighting the key events in the field and pointing at promising research areas for the future. The key take-home points are:

• Translational informatics is ready to revolutionize human health and healthcare using large-scale measurements on individuals.

• Data–centric approaches that compute on massive amounts of data (often called “Big Data”) to discover patterns and to make clinically relevant predictions will gain adoption.

• Research that bridges the latest multimodal measurement technologies with large amounts of electronic healthcare data is increasing; and is where new breakthroughs will occur.