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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:Eric Stahlberg (Frederick National Laboratory for Cancer Resea
 rch), Patricia Kovatch (Icahn School of Medicine at Mount Sinai), Thomas B
 arr (Nationwide Children's Hospital), and Sunita Chandrasekaran (Universit
 y of Delaware)\n\nAs the drive towards precision medicine has accelerated,
  the opportunities and challenges in using computational approaches in can
 cer research and clinical application are rapidly growing. The expanding d
 evelopment of new approaches are reshaping the way computation is being ap
 plied in cancer applications. Recent national level initiatives all unders
 core the importance of a workshop that brings together experts and insight
 s across the spectrum of computational approaches for cancer. \n\nIn the w
 orkshop, we bring together the computational community exploring and using
  high-performance computing, analytics, predictive modeling, and large dat
 asets in cancer research and clinical applications. The workshop is inhere
 ntly inter-disciplinary, with the common interest in cancer and computatio
 n the unifying theme.  Maintaining a perspective of accelerating scientifi
 c insights and translation of insights to clinical application for improve
 d patient outcomes, the workshop brings together many interests from acros
 s the technology, cancer research and clinical domains.  \n\nIn addition t
 o broad topic submissions for collaborative submissions involving computat
 ion and cancer domain expertise, the CAFCW workshop annually identifies a 
 special workshop focus for the year. With the critical importance on both 
 sensitive and large amounts of data in cancer applications, the rapidly ev
 olving use of new technologies such as machine learning, and the simultane
 ous drive to improve patient outcomes, the interest in approaches that imp
 rove portability and repeatability to foster rapid clinical translation is
  significant within the cancer community. This special topic session will 
 include innovative solutions in portability and repeatability of computati
 onal approaches applied to cancer, with emphasis on clinical translation.\
 n\nTag: Applications, Deep Learning, Exascale\n\nRegistration Category: Wo
 rkshop Reg Pass\n\nSession Chairs: Thomas J. Barr (Nationwide Children's H
 ospital); Patricia Kovatch (Icahn School of Medicine at Mount Sinai); and 
 Eric Stahlberg (MD Anderson Cancer Center, University of Texas)\n\n
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