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DTSTAMP:20181221T160725Z
LOCATION:D165
DTSTART;TZID=America/Chicago:20181111T090000
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UID:submissions.supercomputing.org_SC18_sess147_wksp111@linklings.com
SUMMARY:Introduction – Fourth Computational Approaches for Cancer Workshop
  (CAFCW18)
DESCRIPTION:Workshop\nApplications, Deep Learning, Exascale, Workshop Reg 
 Pass\n\nIntroduction – Fourth Computational Approaches for Cancer Workshop
  (CAFCW18)\n\nStahlberg, Kovatch, Barr, Chandrasekaran\n\nAs the drive tow
 ards precision medicine has accelerated, the opportunities and challenges 
 in using computational approaches in cancer research and clinical applicat
 ion are rapidly growing. The expanding development of new approaches are r
 eshaping the way computation is being applied in cancer applications. Rece
 nt national level initiatives all underscore the importance of a workshop 
 that brings together experts and insights across the spectrum of computati
 onal approaches for cancer. \n\nIn the workshop, we bring together the com
 putational community exploring and using high-performance computing, analy
 tics, predictive modeling, and large datasets in cancer research and clini
 cal applications. The workshop is inherently inter-disciplinary, with the 
 common interest in cancer and computation the unifying theme.  Maintaining
  a perspective of accelerating scientific insights and translation of insi
 ghts to clinical application for improved patient outcomes, the workshop b
 rings together many interests from across the technology, cancer research 
 and clinical domains.  \n\nIn addition to broad topic submissions for coll
 aborative submissions involving computation and cancer domain expertise, t
 he CAFCW workshop annually identifies a special workshop focus for the yea
 r. With the critical importance on both sensitive and large amounts of dat
 a in cancer applications, the rapidly evolving use of new technologies suc
 h as machine learning, and the simultaneous drive to improve patient outco
 mes, the interest in approaches that improve portability and repeatability
  to foster rapid clinical translation is significant within the cancer com
 munity. This special topic session will include innovative solutions in po
 rtability and repeatability of computational approaches applied to cancer,
  with emphasis on clinical translation.
URL:https://sc18.supercomputing.org/presentation/?id=wksp111&sess=sess147
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