Computational Approaches for Cancer
Organizers
Event Type
Workshop
Algorithms
Collaborative Environments
Deep Learning
TimeFriday, November 17th8:30am -
12pm
Location605
DescriptionNew computational 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 computational
capabilities have grown and are expected to continue to
reach unprecedented scales. Such opportunities to impact
cancer computationally are underscored in the 2016
Cancer Moonshot Blue Ribbon Panel Report. The workshop
focuses on bringing together interested individuals
ranging from clinicians, mathematicians, data
scientists, computational scientists, hardware experts,
engineers, developers, leaders and others with an
interest in advancing the use of computation at all
levels to better understand, diagnose, treat and prevent
cancer. With an interdisciplinary focus, the workshop
provides opportunities for participants to learn how
computation is employed across multiple areas including
imaging, genomics, analytics, modeling, pathology and
drug discovery with a focus on impacting cancer. As an
interdisciplinary workshop, the cross-disciplinary
sharing of insight and challenges fosters collaborations
and future innovations to accelerate the progress in
computationally and data driven cancer research and
clinical applications. The forward focus of the workshop
looks at challenges and opportunities for large scale
HPC, including exascale applications involving
cancer.
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