The constant and rapid increasing of computing power has favored the diffusion of computational methods into immunology, giving the birth to computational immunology. Computational immunology, known also as immunological bioinformatics or immunoinformatics, is a modern research area that embraces data-driven computational and mathematical approaches able to model and describe the dynamics of cellular and molecular entities of the immune system, its disorders, and infections. Nowadays, immunoinformatics is dedicated to methods and tool developments for the analyses of omic-type data in immunology and knowledge inference using simulation, statistical inference, and machine learning algorithms. These fields are complementary key drivers of data-driven basic and translational immunology research for the benefit of human and animal health.

Furthermore, the simulation of the immune system for the design testing of new medical interventions in virtual patients through the set-up of in Silico Trials (IST) is a hot topic that will have a key role in the years to come.

The Workshop will focus on the application of computer methods and computational models, at any level of description (e.g., microscopic/intracellular, mesoscopic/intercellular, macroscopic/tissue or organs), for the modeling of the immune system function, along with their application in understanding the pathogenesis of specific diseases (e.g., infectious diseases, cancers, hypersensitivities, autoimmune disorders).

Selected papers will be invited to submit an extended version to the renowed international journals (updates about the journal will be provided in due course.)

Topics of interest include, but are not limited to:

1. Modeling techniques, tools and approaches (e.g., agent based modeling, equation based modeling, network studies);
2. Computational models for cancer immunotherapy, autoimmune diseases, allergies and infectious diseases;
3. Spatially-extended models (e.g., models of lymph channels and/or lymph nodes);
4. Methods for in silico testing and optimization of therapeutic/vaccination schedules;
5. Multi-scale models and methods for encompassing two or more spatial and/or temporal scales (e.g., from cell functions to organs);
6. Novel methods and approaches for in Silico Trials;
7. Epidemiological models.
8. Regulatory pathway of CM&S.

• Due date for full workshop papers submission: Oct 30, 2023

• Notification of paper acceptance to authors: Nov 15, 2023

• Camera-ready of accepted papers: Nov 21, 2023

• Workshops: Dec 5-8, 2023

Program Chairs

• Francesco Pappalardo, Department of Drug and Health Sciences, University of Catania, Catania, IT, chair

• Giulia Russo, Department of Drug and Health Sciences, University of Catania, Catania, IT, chair

• Ping Zhang, Griffith University, Australia, co-chair

• Pedro Reche, Complutense University of Madrid, Spain, co-chair

• Marzio Pennisi, Computer Science Institute, DiSIT, University of Eastern Piedmont “A. Avogadro”, co-chair

Program Committee Members

• Marco Viceconti, University of Bologna, Italy
• Lou Chitkushev, Health Informatics and Health Science, Boston University, USA
• Ping Zhang, Griffith University, Brisbane, Queensland, Australia
• Shoba Ranganathan, Maquaire University, Sydney, Australia
• Christian Schönbach, Kumamoto University, Japan
• Filippo Castiglione, CNR, Institute for Computing Applications, Italy
• Guanglang Zhang, Boston University, USA
• Alessandro Sette, La Jolla Institute for Allergy and Immunology, California
• Miguel Juarez, The University of Sheffield, UK
• Santo Motta, National Research Council of Italy, Italy

Please send any question to:

• Workshop chair, Francesco Pappalardo ( francesco.pappalardo_at_unict.it )

• Workshop chair, Giulia Russo ( giulia.russo_at_unict.it )

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At least one author of an accepted paper needs to register as one full registration in order to have the paper published in the conference proceedings.

Prospective authors can submit regular papers following this link.