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SUMMARY:Big Data in Medicine: Exemplars and Opportunities in Data Science 
 - See website
DTSTART:20150619T110000Z
DTEND:20150619T180000Z
UID:TALK58214@talks.cam.ac.uk
CONTACT:Clare Dyer-Smith
DESCRIPTION:The data generated by medical care and medically relevant rese
 arch are rapidly becoming bigger and more complex\, particularly with the 
 advent of new technologies. Our ability to advance medical care and effici
 ently translate science into modern medicine is bounded by our capacity to
  access and process these big data. From human genetics and pathogen genom
 ics to routine clinical documentation\, from internal imaging to motion ca
 pture\, from digital epidemiology to pharmacokinetics\, and from treatment
  pathways to life course assessment\, the big V’s of Big Data - volume\,
  variety\, velocity and veracity - abound in medicine. Statistical\, mathe
 matical\, visualisation\, and computational approaches\, from a wide range
  of disciplines\, as well systems for innovative ICT-based interventions a
 re needed to keep apace of the complexity in Big Data and to advance medic
 ine.\n\nOn 19th June 2015 at the Cancer Research UK Cambridge Institute (m
 ap)\, join researchers from the schools of Clinical Medicine\, Biological 
 Sciences\, Technology\, Physical Sciences\, Humanities and Social Sciences
 \, the pharmaceutical industry and our funding and commissioning partners 
 for an afternoon of talks demonstrating methods and opportunities for harn
 essing Big Data in medicine. Showcase your work by submitting abstracts fo
 r presentation or circulation and take the opportunity to find interdiscip
 linary partners. \n\nFor more information\, abstract submission and regist
 ration visit: http://www.bigdata.cam.ac.uk/events/cambridge-events/big-dat
 a-in-medicine-abstract-submission/. 
LOCATION:Cancer Research UK Cambridge Research Institute\,  Li Ka Shing Ce
 ntre\, Robinson Way\, Cambridge\, CB2 0RE
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