• Discoverability Visible
  • Join Policy Open/Anyone
  • Created 01 May 2019

Fifth Computational Approaches for Cancer Workshop
(CAFCW-2019)

Held in conjunction with the SC19: The International Conference on High Performance Computing, Networking, Storage and Analysis

Location and Timing:
Denver, Colorado, USA
November 17, 2019 
9:00 AM – 5:30 PM


Call For Abstracts

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 such as deep learning present growing opportunities to transform cancer data into cancer knowledge. Such opportunities to impact cancer computationally are underscored in the 2016 US Twenty-first Century Cures Act and international efforts such as the ITCC-P4 focusing on development treatments for pediatric cancer. The workshop focuses on bringing together interested individuals ranging from clinicians, mathematicians, data scientists, computational scientists, 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. 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. A special emphasis for the 2019 workshop is the role of computing in drug discovery for cancer, with a special emphasis on the role of AI, machine learning, and deep learning approaches applied to drug discovery and precision medicine.

The workshop will bring together the computational community and the cancer research community to explore applications of 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
  • Discuss and bring forward with a special emphasis the opportunities and associated challenges that are shaping the way HPC and AI are used for cancer drug discovery

  • 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

  • Explore future opportunities where employing HPC will help advance cancer research and clinical communities

Fifth 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 ‘AI, Computing and Cancer Drug Discovery’

  • 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, 2019

    • Notification of Acceptance: October 1, 2019

    • Workshop: November 17, 2019

Outcomes and impacts
  • 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
  • Dr. Sean Hanlon – NCI Center for Strategic Scientific Initiatives

  • Dr. Patricia Kovatch – Mount Sinai Icahn School of Medicine

  • Dr. Eric Stahlberg – Frederick National Laboratory for Cancer Research

  • Dr. Amanda Minnich – Lawrence Livermore National Laboratory

Created by Miles Kimbrough Last Modified Wed July 31, 2019 10:17 am by arvind ravichandran