Translational Bioinformatics Embraces Big Data

N. H. Shah

doi:10.1055/s-0038-1639443

Yearbook of Medical Informatics, Table of Contents

Yearb Med Inform 2012; 21(01): 130-134
DOI: 10.1055/s-0038-1639443

Survey

Georg Thieme Verlag KG Stuttgart

Translational Bioinformatics Embraces Big Data

N. H. Shah

¹Stanford Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, California, United States of America

› Author Affiliations

Abstract

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.

Keywords

Informatics - data mining - big data

Full Text

References

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