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

Authors

N. H. Shah

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

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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