High performance computing has become central to the future success of precision medicine, encompassing cloud-based systems, large scale HPC, and edge computing devices. The dramatic increase in the volume of data available through medical records, imaging, sequencing, biometric sensors, and mobile health devices, has also opened promising new frontiers for AI in biomedicine including the use of predictive models, and developing the frontier of patient specific digital twins.  Across the world, HPC is shaping the future for medicine, from cancer to infectious diseases, to drug discovery, to digital twins, to critical decisions in hospital intensive care units.

Many programs and initiatives have developed globally across Europe, Asia, and North America to advance the use of AI and HPC in medicine including CompBioMed (EU and UK), the NIH Bridge2AI (US) and the PerMedCoE (Europe). The workshop brings together the exciting cross-disciplinary community to improve health through better care, treatments, and wellness from drug discovery to treatment monitoring to digital twins. The special theme for 2023 workshop is “Making HPC and Modeling Operational for Biomedical Research and Clinical Applications” and promises to be insightful for all, sharing and discussing strategies to successfully deliver ongoing capabilities to advance medicine through the application of HPC.

The Sixth ISC HPC Applications in Precision Medicine Workshop (HAPM23) will focus on the next phase of successful introduction of HPC into biomedical workflows including the introduction of digital twins and predictive models from research to clinical application.

With the combined interest from a growing group of in-person attendees, ISC is now serving as a key ongoing hub for collaborative discussion in HPC in precision medicine, drawing from across Europe as well as North America and Asia. The HPC Applications in Precision Medicine workshop is fulfilling its aim to bring together the international computational and life sciences communities to share experiences, examine current challenges, and explore future opportunities for applications of high-performance computing in precision medicine.

Submission Guidelines

Abstracts are due by April 6, 2023. 

All papers must be original and not simultaneously submitted to another journal or conference.

• 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 (https://www.ieee.org/conferences/publishing/templates.html). 

• Submitted extended abstracts will be reviewed and selected for presentation in the HPC Applications of Precision Medicine workshop. Extended abstracts submissions may be asked to condense to a shorter 15-minute presentation due to scheduling constraints.
• Extended abstracts will be reviewed and judged on correctness, originality, technical strength, alignment to expressed aims in the paper call, quality of presentation and interest to workshop attendees. Submitted abstracts may incorporate unpublished new advances, insight and/or original research findings. 
• 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.

List of Topics

Complete list of topics of interest can be found here: https://ncihub.cancer.gov/groups/hapm/hapm23/call_for_papers 

Topics and areas of interest include but are not limited to

• Making HPC and Modeling Operational for Biomedical Research and Clinical Applications
• Biomedical Digital Twin Applications 
• Artificial intelligence in medical applications
• Advances in data aggregation, security and sharing
• Clinical data access and integration
• AI and simulation in drug discovery
• Modeling of biological systems
• Advances for image processing in cryo-EM, radiology, and pathology
• Accelerated bioinformatics workflows
• Predictive model validation
• Measuring confidence and uncertainty in predictive models
• Clinical impact and delivery

Committees

Organizing committee

• Eric Stahlberg – Frederick National Laboratory for Cancer Research
• Charles Gillan – University of Belfast (UK)
• Andrea Townsend-Nicholson – University College London (UK)
• Arnau Montagud – Barcelona Supercomputer Center (BSC) (Spain)
• Jan Nygard – Cancer Registry of Norway
• Thomas Steinke – Zuse Institute Berlin
• Lynn Borkon – Frederick National Laboratory for Cancer Research
• Petrina Hollingsworth – Frederick National Laboratory for Cancer Research 

Contact

All questions about submissions should be emailed to Lynn Borkon at lynn.borkon@nih.gov or Petrina Hollingsworth at petrina.hollingsworth@nih.gov