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  • Created 01 May 2019

Fifth Computational Approaches for Cancer Workshop
(CAFCW-2019)

Held in conjunction with the SC19: The International Conference on High Performance Computing, Networking, Storage and Analysis

Location and Timing:
Denver, Colorado, USA
November 17, 2019 
9:00 AM – 5:30 PM

Key events and dates:

Key Events
Dates
Abstract Submission September 15, 2019
Notification of Acceptance October 1, 2019
Workshop November 17, 2019

 

Workshop Overview:

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 such as deep learning present growing opportunities to transform cancer data into cancer knowledge. Such opportunities to impact cancer computationally are underscored in the 2016 US Twenty-first Century Cures Act and international efforts such as the ITCC-P4 focusing on development treatments for pediatric cancer. The workshop focuses on bringing together interested individuals ranging from clinicians, mathematicians, data scientists, computational scientists, 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. 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. A special emphasis for the 2019 workshop is the role of computing in drug discovery for cancer, with a special emphasis on the role of AI, machine learning, and deep learning approaches applied to drug discovery and precision medicine.

The workshop will bring together the computational community and the cancer research community to explore applications of 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 abstracts:

CAFCW 2019 Special Session Topic: AI, Computing, and Cancer Drug Discovery

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 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 drive to find new treatments, the interest in approaches that improve transform drug discovery for precision oncology and precision medicine is very high. This special topic session reaches out to the community to seek submissions regarding innovative computational approaches applied to cancer drug discovery.

 

CAFCW19 General Topic Call: Computational Approaches for Cancer

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 the list)

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
  • Bioinformatics
  • 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
  • Visualization
  • 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

 

Submision 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 AI, Computing, and Cancer Drug Discovery.

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:

https://submissions.supercomputing.org/?page=Submit&id=SC19WorkshopCAFCW19Submission&site=sc19
Created by Aparna Vinodh Last Modified Wed July 31, 2019 10:18 am by arvind ravichandran