• Discoverability Visible
  • Join Policy Open/Anyone
  • Created 27 Jul 2018

Fourth Computational Approaches for Cancer Workshop (CAFCW-2018)

Held in conjunction with the

SC18: The International Conference on

High Performance Computing, Networking, Storage and Analysis

Sunday November 11, 2018, Dallas, Texas, USA

8:30AM – 5:00 PM

New 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 Twenty-first Century Cures Act. 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.

In the workshop, we bring together the computational community exploring and using high-performance computing, analytics, predictive modeling, and large datasets in cancer research and clinical applications. The workshop is inherently inter-disciplinary, with the common interest in cancer and computation the unifying theme. As such, the workshop provides rich opportunities for attendees to learn about future directions, current applications and challenges and build collaborations. Maintaining a perspective of accelerating scientific insights and translation of insights to clinical application for improved patient outcomes, the workshop brings together many interests from across the technology, cancer research and clinical domains. 

Workshop Overview

As a disease-specific workshop, the sustaining aim of the workshop is to provide a regular opportunity where individuals with expertise and interests across a variety of computational technologies and applications can convene, cross-educate, share progress, ideas and challenges, and seek opportunities for cross-interest collaboration and innovation.  The participation in the workshop is inherently inter-disciplinary, with the common interest in cancer and computation serving as the unifying theme. As such, the workshop will provide rich opportunities for attendees to learn about diverse computational approaches and applications of HPC in cancer research and clinical applications. Maintaining a perspective of patient impact, with translation of ideas to clinical application, the workshop will include involvement of interests spanning from research to clinical application.

Workshop Objectives

  • Bring together individuals employing computation in studying, diagnosing, treating, or preventing cancer
  • Attract and involve individuals with HPC and computational skills in technical areas that would contribute to the understanding, diagnostics, treatment and/or prevention of cancer
  • Provide an overview of current applications of computational approaches in several cancer research areas and clinical application
  • Educate attendees including students, grad students and those seeking to work across disciplines on the ways that computation is used in several areas of cancer research and clinical applications
  • Discuss and bring forward issues and challenges facing greater utilization of computation at different levels in cancer research and clinical applications (e.g. reproducibility, portability, auditability, standards, regulatory compliance, etc.)
  • Explore future opportunities where employing HPC will help advance cancer research and clinical communities

Fourth Computational Approaches for Cancer Workshop Program Emphasis

  • Computational and HPC approaches supporting cancer research and clinical applications.  . 
  • Exascale and machine learning in cancer applications
  • Special Workshop Focus ‘Portability, Repeatability and Clinical Translation’
  • Frontiers, collaboration and innovation

Call for Papers

  • Program includes presentations from submitted abstracts as well as invited presenters
  • Call for paper details with key dates below
  • Submission: September 15, 2018 at https://submissions.supercomputing.org
  • Notification of Acceptance: October 1, 2018
  • Workshop: November 11, 2018

Outcomes and Impact

  • Educate and raise awareness of the impact that HPC has in the cancer research and clinical domains
  • Build collaborative connections among attendees, addressing problems
  • Extend the community with adding to the growing email lists
  • Develop workshop proceedings to extend the visibility and impact of the workshop
  • Catalyze discussions on additional computing and cancer workshops in other conferences, further building the community nationally and internationally

Organizing Committee

  • Thomas Barr – The Research Institute at Nationwide Children’s Hospital
  • Patricia Kovatch – Mount Sinai Icahn School of Medicine
  • Eric Stahlberg – Frederick National Laboratory for Cancer Research
  • Sunita Chandrasekaran – University of Delaware

Initial Program Committee

  • Ilya Shmulevich – Institute for Systems Biology
  • William Richards – Brigham and Womens Hospital, Harvard Medical School
  • Heiko Enderling – Moffit Cancer Center
  • Thomas Steinke – Zuse Institute Berlin
  • Amy Gryshuk – Lawrence Livermore National Laboratory
  • Claudine Conway – Intel
  • Florence Hudson – Blockchain in Healthcare Today
  • Sally Ellingson – University of Kentucky
  • Sean Hanlon – National Cancer Institute
  • Ted Slater – Cray
  • Paul Macklin – Indiana University
  • George Zaki – Frederick National Laboratory
Created by Geneva Flanagan-Benedict Last Modified Fri July 27, 2018 5:17 pm by Geneva Flanagan-Benedict