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DTSTAMP:20181221T160725Z
LOCATION:D165
DTSTART;TZID=America/Chicago:20181111T110000
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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:Workshop\nApplications, Deep Learning, Exascale, Workshop Reg 
 Pass\n\nSafety, Reproducibility, Performance: Accelerating Cancer Drug Dis
 covery with Cloud, ML, and HPC Technologies\n\nMinnich\n\nNew computationa
 l opportunities and challenges have emerged within the cancer research and
  clinical application areas as the size, number, variety and complexity of
  cancer datasets have grown in recent years. Simultaneously, advances in c
 omputational capabilities have grown and are expected to continue to reach
  unprecedented scales. Such opportunities to impact cancer computationally
  are underscored in the 2016 Twenty-first Century Cures Act. The workshop 
 focuses on bringing together interested individuals ranging from clinician
 s, mathematicians, data scientists, computational scientists, hardware exp
 erts, engineers, developers, leaders and others with an interest in advanc
 ing the use of computation at all levels to better understand, diagnose, t
 reat and prevent cancer. With an interdisciplinary focus, the workshop pro
 vides opportunities for participants to learn how computation is employed 
 across multiple areas including imaging, genomics, analytics, modeling, pa
 thology and drug discovery with a focus on impacting cancer. As an interdi
 sciplinary workshop, the cross-disciplinary sharing of insight and challen
 ges fosters collaborations and future innovations to accelerate the progre
 ss in computationally and data driven cancer research and clinical applica
 tions. The forward focus of the workshop looks at challenges and opportuni
 ties for large scale HPC, including exascale applications involving cancer
 .
URL:https://sc18.supercomputing.org/presentation/?id=ws_cafcw105&sess=sess
 147
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