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Sixth Computational Approaches for Cancer Workshop (CAFCW20)

Held in conjunction with SC20:
The International Conference on High Performance Computing, Networking, Storage and Analysis

  

Location and Timing
Virtual
November 13, 2020
10:00 AM – 6:30 PM ET

 

Workshop Registration is only $50

https://sc20.supercomputing.org/attend/register/

The virtual Sixth Computational Approaches for Cancer Workshop (CAFCW20) will be held on Friday, November 13, 2020, 10:00 a.m. to 6:30 p.m. ET, in conjunction with SC20: The International Conference on High Performance Computing, Networking, Storage and Analysis. You can register for the standalone Workshop-only option, which gets you into all three days of Workshops, or you can add the Workshop option to your technical program registration.

Workshop Preview

  1. Lessons from COVID19 that can be applied to cancer research
  2. Digital twins in cancer research
  3. Translating cancer research advances in artificial intelligence into clinical practice

 

See the blog posts written by members of our Organizing Committee:

Who:       CAFCW20 will bring together clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, thought leaders and others with an interest in advancing the use of computation to better understand, diagnose, treat and prevent cancer.

What:      An interdisciplinary workshop in which subject matter experts share their insights and challenges to foster collaborations and future innovations that will accelerate progress in computationally and data-driven cancer research and clinical applications.

When:    Friday, November 13, 2020, 10:00 a.m. – 6:30 p.m. ET

Where:   Virtual at SC20, no need to travel

Register >> https://sc20.supercomputing.org/attend/register/

Workshop Overview

New computational opportunities and challenges have emerged within the cancer research and clinical application fields, as the size, source and complexity of cancer datasets have grown. Simultaneously, advances in computational capabilities, with exceptional growth in AI and deep learning, are reaching unprecedented scales.

This Sixth Computational Approaches for Cancer Workshop 2020 (CAFCW20) will bring together a wide-range of  individuals including clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, thought leaders and others with an interest in advancing the use of computation to better understand, diagnose, treat and prevent cancer. As an interdisciplinary workshop, the sharing of insight and challenges fosters collaborations and future innovations accelerating progress in computationally and data-driven cancer research and clinical applications.

High-performance computing (HPC) has been and will continue to be a key component of cancer research. Industry, academic and government interest is demonstrably high with ongoing commitments, new announcements, advances and new opportunities involving cancer and computing. One need only review recommendations provided by the National Cancer Moonshot Blue Ribbon Panel to confirm the increasingly visible and critical role computing and HPC in particular will play in accelerating cancer research objectives. As HPC-related efforts from projects funded through the 21st Century Cures Act begin to mature, the workshop will provide an ongoing avenue for new computational approaches involving HPC at all scales to be shared with the growing community.

The Computational Approaches for Cancer workshop series originated in early 2015, following observations that the topic of cancer was already pervasive at the SC conference, yet no venue at SC existed to bring the key community together. The response has been favorable for the first five workshops with over 80 participants in each of the first two years, expanding to an estimated 150 attendees at SC17 and at room capacity in SC18 and SC19. Enthusiasm for the workshop continues to grow with many ideas and challenges shared, collaborations envisioned and needs identified. The successful call for papers in SC17 resulted in proceedings published for Open Access in BMC Bioinformatics, a growing number of submissions in SC18 and a record number of submissions in SC19. At SC19, the best paper award was given to a team who has progressively presented their work at the series of SC Computational Approaches for Cancer workshops.[1]

Questions? Contact cafcw@nih.gov

[1] AI-based Cancer Protein Simulation Is Finalist for SC19 Best Paper, https://www.hpcwire.com/2019/11/04/ai-based-cancer-protein-simulation-is-finalist-for-sc19-best-paper/

 

Created by Jacob Walter DeGoes Last Modified Fri October 2, 2020 3:18 pm by Petrina Hollingsworth