2022 IEEE/ACM Computational Approaches for Cancer Workshop CAFCW2022

活动简介

New computational opportunities and challenges have emerged within the cancer research and clinical application areas as the size, source, and complexity of cancer datasets have grown. Simultaneously, advances in computational capabilities, with exceptional growth in AI and deep learning, are reaching unprecedented scales. A special emphasis for the 2022 workshop is efforts and computational approaches for HPC to accelerate new treatments. Such efforts span many key areas in cancer including drug discovery, precision radiation oncology, virtual clinical trials, and AI to deliver precision cancer treatments.

This Eighth Computational Approaches for Cancer Workshop 2022 (CAFCW22) will bring together a wide-range of individuals including clinicians, cancer biologists, mathematicians, data scientists, computational scientists, engineers, developers, vendors, thought leaders and others with an interest in advancing the use of computation to better understand, diagnose, treat and prevent cancer. As an interdisciplinary workshop, the sharing of insight and challenges fosters collaborations and future innovations accelerating progress in computationally and data-driven cancer research and clinical applications.

The importance of high performance computing is ever increasing as a critical component of cancer research and clinical applications. The current global cancer ecosystem including new scientific methods, AI, ever expanding sources of data, and use of simulations have set the stage for tremendous growth in HPC with the new US Cancer Moonshot 2.0, which aims to reduce mortality of cancer by 50% in 25 years. Originally established as part of SC during the advent of the Precision Medicine and the US National Strategic Computing Initiative, this workshop continues to provide a key venue for all disciplines and interests to converge, share insights, and develop collaborations where HPC and computational approaches will advance the frontiers of cancer research and cancer care.

Over the past eight years, the CAFCW has brought together cancer researchers and advanced computing scientists to share ideas and challenges, establish collaborations and identify common needs.

征稿信息

重要日期

2022-08-09

终稿截稿日期

The CAFCW22 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 diverse organizing and programming committees, 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)

征稿范围

Next Generation Sequencing Analysis
Single Cell Sequencing
Proteomics, Genomics, and Metabolomics
Flow Cytometry
High-throughput Screening
Cryo-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

作者指南

Authors are invited to submit abstracts in English for consideration by the program committee. Abstracts will be considered for 15-minute presentations, submitted in English with a length up to 500 words.

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 Accelerating New Treatments.

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.