Abstract submissions

Abstract submissions are closed for CAFCW24! 
Join the mailing list for information on CAFCW25 here. CAFCW24 logo

You must submit your abstracts through the SC24 submission system.

Given the interdisciplinary nature of computational biology and AI, we invite all students to participate in this workshop as an opportunity to collaborate with experts in computational chemistry, computational biology, AI, data science, computer science, and other disciplines fostering a well-rounded approach for cancer research and innovation.

To encourage broad participation, our 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.

Submission Guidelines

CAFCW24 logoIn submitting the abstract, the authors acknowledge that AT LEAST ONE author of an accepted submission must register for and attend the workshop. 

Abstracts that are not selected may be invited to submit a virtual poster.

Please review SC24 research poster submission guidelines.

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 Healthy AI. 

“What is Healthy AI” embarks on the journey to craft the correct components for data and algorithms to seamlessly coexist with the complex intricacies of living systems ultimately fostering advancements in healthcare and specifically cancer. Healthy AI in computational biology transcends technological innovation—it embodies a holistic approach to harnessing the power of AI for the advancement and betterment of cancer research.

Submissions received after the due date, exceeding the prescribed length or not appropriately structured may also be returned without consideration or review.

Workshop Topics

Below is a list of topics of interest to the workshop. Submissions are not limited to this list.

Cancer Research and Clinical Applications

  • 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

Key Dates

  • July 10: Registration opens
  • Aug. 14: Abstract submissions due
  • Sept. 23: Notification of acceptance
  • Oct. 13: Early-bird registration closes
  • Nov. 17-22: SC24
  • Nov. 18: CAFCW24