Making sense of big data in health research: Towards an EU action plan

@inproceedings{Auffray2016MakingSO,
  title={Making sense of big data in health research: Towards an EU action plan},
  author={Charles Auffray and Rudi Balling and In{\^e}s Barroso and L{\'a}szl{\'o} Csaba Bencze and Mikael Benson and Jay Bergeron and Enrique Bernal-Delgado and Niklas Blomberg and Christoph Bock and Ana Conesa and Susanna Del Signore and Christophe Delogne and Peter Devilee and Alberto Di Meglio and Marinus J C Eijkemans and Paul Flicek and Norbert Graf and Vera Grimm and Hendrik Jan Guchelaar and Yi-Ke Guo and Ivo G. Gut and Allan Hanbury and Shahid Muhammad Hanif and Ralf-Dieter Hilgers and Angel Honrado and David R. Hose and Jeanine J. Houwing-Duistermaat and Tim Hubbard and Sophie Helen Janacek and Haralampos Karanikas and Tim Kievits and Manfred Kohler and Andreas Kremer and Jerry Lanfear and Thomas Lengauer and Edith Maes and Theo Frans Meert and Werner M{\"u}ller and D{\"o}rthe Nickel and Peter Oledzki and Bertrand Pedersen and Milan Petkovic and Konstantinos Pliakos and Magnus Rattray and Josep Red{\'o}n i M{\`a}s and Reinhard Schneider and Thierry Sengstag and Xavier Serra-Picamal and Wouter Spek and Lea A. I. Vaas and Okker van Batenburg and Marc Vandelaer and P{\'e}ter V{\'a}rnai and Pablo Villoslada and Juan Antonio Vizca{\'i}no and John Peter Mary Wubbe and Gianluigi Zanetti},
  booktitle={Genome Medicine},
  year={2016}
}
Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of “big data” for improving health is enormous but, at the same time… CONTINUE READING
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