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  • Created 27 Jul 2018

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


Important Dates:

  • Submission: September 15, 2018 at
  • 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

Flow Cytometry

High-throughput Screening

Cyro-Electron Microscopy

Multi-modal Biological Imaging

Structural Biology

Biological-scale Molecular Dynamics

Predictive Oncology

Cancer Therapeutic Development

Protein-protein Interaction

Cellular Signaling

Cell-level Predictive Modeling

Cancer Imaging

Digital Pathology

Pharmacodynamic Modeling

Pharmacogenomic Modeling and Analysis

Electronic Health and Medical Records

mHealth and Health Sensor Networks


Cancer Diagnostics

Therapeutic Response

Systems Biology

Patient-derived Models

Time-series and High-content Data

Computational Approaches

High-performance Parallel Computing

Cloud Computing

Exascale and Extreme-scale Computing

Machine and/or Deep Learning

Cognitive Computing

Sources of cancer information

Data Integration and Delivery

Image Processing

Pattern Recognition

Heterogeneous Computing (GPGPU, FPGA, etc.)

Model accessibility and portability


Natural Language Processing

Uncertainty Quantification

Multi-scale Predictive Modeling

Integrated Systems Simulations

Complex Systems Modeling

Integration Frameworks

Computational Workflows

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.

Important Dates

Extended abstract submission: September 15, 2018

Notification of acceptance: October 1, 2018

Workshop: November 11, 2018

Submission Guidelines

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

Organizing Committee

  • 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





Created by Geneva Flanagan-Benedict Last Modified Fri July 27, 2018 1:05 pm by Geneva Flanagan-Benedict