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
- Submission: September 15, 2018 at https://submissions.supercomputing.org
- Notification of Acceptance: October 1, 2018
- Workshop: November 11, 2018
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.
Call for Papers
CAFCW 2018 Special Session Topic: Portability, Repeatability and Clinical Translation
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.
With the critical importance on both sensitive and large amounts of data in cancer applications, the rapidly evolving use of new technologies such as machine learning, and the simultaneous drive to improve patient outcomes, the interest in approaches that improve portability and repeatability to foster rapid clinical translation is significant within the cancer community. These topics have also been of interest to the HPC community with several workshops, projects and activities emerging generally in this area. This special topic session reaches out to the community to seek submissions where innovative solutions and approaches in portability and repeatability of computational approaches are applied to cancer, with special empcrohasis on addressing needs for clinical translation.
CAFCW18 General 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. 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.
Broad topic areas for the workshop may include but are certainly not limited to suggestions below.
Cancer Research and Clinical Applications
Next Generation Sequencing Analysis
Single Cell Sequencing
Proteomics, Genomics, and Metabolomics
Multi-modal Biological Imaging
Biological-scale Molecular Dynamics
Cancer Therapeutic Development
Cell-level Predictive Modeling
Pharmacogenomic Modeling and Analysis
Electronic Health and Medical Records
mHealth and Health Sensor Networks
Time-series and High-content Data
High-performance Parallel Computing
Exascale and Extreme-scale Computing
Machine and/or Deep Learning
Sources of cancer information
Data Integration and Delivery
Heterogeneous Computing (GPGPU, FPGA, etc.)
Model accessibility and portability
Natural Language Processing
Multi-scale Predictive Modeling
Integrated Systems Simulations
Complex Systems Modeling
Information and Data Security
Automata and Finite State Machines
Novel Mathematical and Statistical Models
Data Science and Analytics
Graph and/or Network Analysis
Model Validation and Verification
Submitted papers will be reviewed and selected for presentation in the Computational Approaches for Cancer Workshop held as part of the SC 18 Workshop Program, November 11, 2018 in Dallas, Texas.
Extended abstract submission: September 15, 2018
Notification of acceptance: October 1, 2018
Workshop: November 11, 2018
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, and 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 Portability, Repeatability and Clinical Translation.
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 paper, the authors acknowledge that at least one author of an accepted submission will register for and attend the workshop.
Abstracts should be submitted electronically as PDF documents at
Computational Approaches for Cancer Workshop
- 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