Title: Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine – CMGAI 2024

Organizors:

• Dr. Ahmed Abdeen Hamed, Network Medicine & AI Group, Sano Centre for Computational Medicine, Krakow Poland

Track Chairs:

• Professor Xindong Wu, School of Computer Science and Information Engineering, Hefei University of Technology, China

• Dr. Zhiyong Lu,  Deputy Director, National Library of Medicine, National Institute of Health, Rockville, Maryland, USA

• Professor Byung Lee, Department of Computer Science, College of Engineering and Mathematical Sciences, University of Vermont, USA

• Professor Karin Verspoor, Executive Dean, School of Computing Technologies at RMIT University, Melbourne, Australia

Industry Chair:

• Dr. Christopher Savoie, Zapata AI, Boston Massachsetts, USA

Important Dates:

• Paper submission: 2 March 2024

• Notification to authors: 1 April 2024

• Camera-ready papers: 19 April 2024

• Author registration: 1 – 19 April 2024

• Non-author registration (in-person): 1 April – 2 June 2024

• Non-author registration (online): 1 April – 21 June 2024

• Conference sessions: 2-4 July 2024

Abstract: Welcome to the Thematic Track of innovation in Computational Medicine! The “Generative AI and Large Language Models in Computational Medicine Applications” track at ICCS’2024 is a dynamic space where cutting-edge technologies converge with biomedicine and healthcare applications. This track invites researchers, practitioners, and industry leaders to explore the transformative impact of Generative AI and Large Language Models (LLMs) on the landscape of computational medicine. We are particularly interested in the following topic:

• Clinical Decision Support: Uncover the potential of these advanced models in providing decision support for healthcare professionals. How can Generative AI enhance clinical decision-making processes.

• Patient-Clinician Communication: Explore the role of Generative AI and LLMs in facilitating effective communication between patients and healthcare providers. How can these models improve the patient experience.

• Biomedical Text Mining: Navigate the intricate world of biomedical text mining and discover how Generative AI and LLMs can revolutionize information extraction and knowledge discovery in computational medicine.

• Drug Discovery and Repurposing: Investigate the impact of Generative AI on drug discovery and repurposing efforts. How can these models expedite the identification of potential treatments and therapeutic combinations.

• Integrating Large Language Models and Knowledge Graphs for Generative AI to empower BioMedical Applications

• Using GenAI to advance biomedical and lifescience workflow systems

• Assessment of content, generated detection, fact checking for biomedical applications

• Literature mining using Generative AI and LLMs for biomedical discoveries

• Advancing search engines and semantic search engines using Generative AI and LLMs

• The use of GenAI and LLMs to extract entity relationships from text (including causal relationships)

PC  Members:

• Professor Salvatore Vitabile, Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Itlay

• Professor Ahmed Abdelgawad, College of Science and Engineering, Central Michigan University, Michigan, USA

• Professor Malgorzata Zachara-Szymanska, Faculty of International and Political Studies, Jagiellonian University, Krakow, Poland

• Professor Barbara Pucelik, Malopolska Centre of Biotechnology, Jagiellonian University, Poland

• Karen Scholz, Cognitive Computing, Fraunhofer MEVIS, Bremen, Germany

• Professor Markus Wenzel; Key Scientist Cognitive Computing/Computational Breast Care, Fraunhofer MEVIS, Bremen, Germany; Professor for Computer Science, Constructor University, Bremen, Germany

• Dr. Qiao Jin, National Library of Medicine, National Institute of Health, Rockville, Maryland, USA

• Dr. Alex Crimi, Sano Centre for Computational Medicine, Group Team Leader, Krakow Poland

• Professor Seyed Soheil Mansouri, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Copenhagen, Denmark

• Professor Tamer E. Fandy, Department of Pharmaceutical and Administrative Sciences, West Virginia, USA

• Dr. Adam Sulek, Network Medicine & AI Group, Sano Centre for Computational Medicine, Krakow Poland

Instructions for Authors

The track will religiously follow the instructions from the main ICCS conference. If in doubt, check the instructions on the conference's webpage. 

The manuscripts of up to 15 pages, written in English and formatted according to the Springer LNCS templates, should be submitted electronically via EasyChair..

The most recent versions of the Templates are available for download from this link.
The LaTeX2e Proceedings Templates are also available in the scientific authoring platform Overleaf.
Please also make sure to follow Springer’s authors’ guidelines, as well as Springer’s Book Authors’ Code of Conduct.

Papers must be based on unpublished original work and must be submitted to ICCS only. Submission implies the willingness of at least one of the authors to register and present the paper.

Do also note that ICCS lays crucial emphasis on the explicit relevance of submitted contributions to Computational Science. All submissions to the conference, whether to the Main Track or to the individual Thematic Tracks, will be evaluated for this relevance (through a mandatory field in the submission form). Papers that are more relevant to specialized conferences on very specific topics will be desk-rejected before the standard review process begins.

To promote open science and to facilitate reproducibility, ICCS encourages data and code sharing. Please keep this in mind when submitting your papers.

Deadlines for draft paper submission, notification of acceptance, camera-ready paper submission and registration may be found in the Important Dates section.

For the camera-ready version, please note that:

• ICCS authors interested in open access for their papers (open choice) have the possibility to do so. When you submit your camera-ready paper, if you intend to make it open access, contact us and we will tell you how to proceed.

• Springer encourages authors to include their ORCIDs in their papers.

• Springer is now offering the inclusion of embedded videos in proceedings papers.