|Abstract Submission Deadline||September 8, 2020|
|Notification of Acceptance||September 22, 2020 (expected)|
|Pre-recorded Presentations for Accepted Abstracts Due||October 9, 2020|
|Workshop||November 13, 2020|
With the growing importance and availability of large amounts of data in cancer applications, the rapidly evolving use of new technologies such as machine learning and the simultaneous incentive to find new treatments, the drive towards precision medicine has accelerated. The challenges in cancer research and clinical application requiring computational solutions are growing, and the pursuit of effective predictive models for complex biological systems begin to inform future strategic and exascale computing requirements.
A special emphasis for the CAFCW20 is the role of HPC and AI to address research challenges when data are limited by availability, variability and size, as is frequently found in clinical applications and cutting-edge research activities.
The CAFCW20 is highly relevant to SC given the pervasive interest in cancer applications of high performance computing among conference attendees. The workshop further sustains a special topics track to attract new attendees to the conference, as the role of computation in cancer raises in visibility as well as obtainability.
The topic of cancer is, unfortunately, a topic that touches everyone, attracting participation across all demographic, geographic, professional and organizational classifications. The workshop continues a well-established record of inclusivity by maintaining a diverse organizing committee, maintaining substantial cross-interest representation on panels within the workshop and actively engaging participants from all backgrounds. The workshop specifically takes efforts to include international participation to foster international collaborations as well as takes steps to assure gender balance on invited panels and as presenters.
To encourage broad participation, the workshop maintains an open call for submissions of papers focused on application of computational approaches to cancer challenges for consideration to present at the workshop. Lists of potential topics are provided below, including both potential HPC technologies used in cancer applications and cancer applications that may use HPC technologies. With a rapidly evolving field, authors are also encouraged to identify areas not listed.
Listed below are topic areas for the workshop (potential topics are certainly not limited to this list)
Cancer Research and Clinical Applications
Authors are invited to submit abstracts in English for consideration by the program committee. Abstracts may be submitted either as brief or extended abstracts. Brief abstracts will be considered for 15-minute presentations, while extended abstracts will be considered for presentations up to 30 minutes.
Brief abstract guidelines – submitted in English with a length up to 500 words.
Extended abstract guidelines – submitted in English, structured as preliminary technical papers of a length up to four letter-size pages (not including bibliography). A bibliography should be included and use the IEEE format for conference proceedings.
Submissions not conforming to these guidelines may be returned without consideration or review.
Abstracts will be reviewed and judged on originality, technical strength, integration of computational approaches and cancer research topics, general alignment to expressed cross-disciplinary aims of the workshop and anticipated interest to workshop attendees. Abstracts will also be considered for specific alignment to the special workshop topic of AI and HPC: Overcoming Data Challenges in Cancer Research and Clinical Applications.
Submissions received after the due date, exceeding the prescribed length or not appropriately structured may also be returned without consideration or review.
In submitting the abstract, the authors acknowledge that at least one author of an accepted submission must register for and attend the workshop.
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