[hpc-announce] @SC17 CAFCW17: Third Computational Approaches for Cancer Workshop

[Sunita Chandrasekaran]

The Computational Approaches for Cancer Workshop 2017 is extending the
submission deadline until *September 15, 2017. *

Notification of acceptance will be made by September 30, 2017.

*CAFCW17: Third Computational Approaches for Cancer Workshop*
http://www.scworkshops.net/cancer2017

Held in conjunction with SC17 – International Conference on High
Performance Computing, Networking, Storage and Analysis
http://sc17.supercomputing.org

In response to several recent requests, the deadline is being extended and
format for submission to the workshop are being revised.
The submission deadline is being extended until September 15, 2017.
The format for submission has also been revised to include the format of an
extended abstract in lieu of a full paper.
(The extended abstract provides a detailed overview of the intended paper.)

Extended abstracts may be submitted to:
https://easychair.org/conferences/?conf=cafcw17

Accepted authors will also be invited to submit a special issue to a
bioinformatics journal. Details TBA shortly.

About CAFCW
-----------------
As the drive towards precision medicine has accelerated, the opportunities
and challenges in using computational approaches in cancer research and
clinical application are rapidly growing. The rapid rise of deep learning
as an enabling technology and its potential are reshaping the way
computation is being applied across scales scales of computing, across time
and across spatial scales. With recent legislation in the form of the
Twenty-first Century Cures Act as well as efforts of the Beau Biden Cancer
Moonshot all underscore the importance of a workshop that brings together
experts and insights across the spectrum of computational approaches for
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.

*CAFCW 2017 Special Special Session Topic: Machine Learning Applied to
Cancer*

The CAFCW workshop annually identifies a special workshop focus of
significant interest to the community, bringing a special emphasis to the
workshop for the year.

The use of machine learning in multiple contexts (AI, cognitive learning,
deep learning, etc.) has dramatically accelerated in the cancer research
and clinical space. This has led to several innovations and rapid
development of new techniques, while highlighting key challenges to
overcome in order to more fully utilize these technologies. Papers are
sought for a workshop session emphasizing cancer applications of machine
learning, identifying promising breakthroughs, new resources, data
challenges, and future needs to further the utilization of machine learning
in cancer applications.
*CAFCW17 Broad Topic Call: Computational Approaches for Cancer*

In order to encourage broad participation, the workshop maintains an open
call for all interests to submit papers for consideration to present at the
workshop where computation or computational technologies has been employed
effectively in cancer research or clinical application.

Additional details at the workshop 2017 website Call for Papers at
http://www.scworkshops.net/cancer2017/papers.html
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