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PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20260522T150123Z
LOCATION:D165
DTSTART;TZID=America/Chicago:20181111T110000
DTEND;TZID=America/Chicago:20181111T111500
UID:submissions.supercomputing.org_SC18_sess147_ws_cafcw105@linklings.com
SUMMARY:Safety, Reproducibility, Performance: Accelerating Cancer Drug Dis
 covery with Cloud, ML, and HPC Technologies
DESCRIPTION:Amanda J. Minnich (Lawrence Livermore National Laboratory)\n\n
 New computational opportunities and challenges have emerged within the can
 cer research and clinical application areas as the size, number, variety a
 nd complexity of cancer datasets have grown in recent years. Simultaneousl
 y, advances in computational capabilities have grown and are expected to c
 ontinue to reach unprecedented scales. Such opportunities to impact cancer
  computationally are underscored in the 2016 Twenty-first Century Cures Ac
 t. The workshop focuses on bringing together interested individuals rangin
 g from clinicians, mathematicians, data scientists, computational scientis
 ts, hardware experts, engineers, developers, leaders and others with an in
 terest in advancing the use of computation at all levels to better underst
 and, diagnose, treat and prevent cancer. With an interdisciplinary focus, 
 the workshop provides opportunities for participants to learn how computat
 ion is employed across multiple areas including imaging, genomics, analyti
 cs, modeling, pathology and drug discovery with a focus on impacting cance
 r. As an interdisciplinary workshop, the cross-disciplinary sharing of ins
 ight and challenges fosters collaborations and future innovations to accel
 erate the progress in computationally and data driven cancer research and 
 clinical applications. The forward focus of the workshop looks at challeng
 es and opportunities for large scale HPC, including exascale applications 
 involving cancer.\n\nTag: Applications, Deep Learning, Exascale\n\nRegistr
 ation Category: Workshop Reg Pass\n\nSession Chairs: Thomas J. Barr (Natio
 nwide Children's Hospital); 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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