The 2nd International Workshop on PRecision Individualized MEDicine with artificial intelligence and bioinformatics (PRIMED 2026)

Workshop Scope

The convergence of artificial intelligence (AI), bioinformatics, and high-throughput biomedical data is transforming how we understand and handle disease, opening to new frontiers for individualized healthcare.  In this domain, AI and bioinformatics have the transformative potential to redefine how we diagnose, treat, and prevent disease by extracting knowledge from complex, large-scale biological and clinical data. However, applying AI to biomedicine is not a matter of domain transfer; it requires the development of tailored algorithms capable of handling the high dimensionality, heterogeneity, and multi-modal nature of biomedical data. This workshop, PRIMED, will focus on cutting-edge computational methods and data-driven approaches that enable individualized care—integrating multi-omics data, digital twins, and predictive models to support precision medicine. Special attention will be given to domain-specific challenges such as interpretability, ethics, validation in real-world settings, and integration into clinical workflows. PRIMED encourages submissions focused on fundamental AI research and applied biomedical innovation, bridging the gap between algorithmic development and clinical impact. The goal is to foster interdisciplinary collaboration among AI researchers, biomedical scientists, and healthcare professionals, paving the way for precision medicine that is not only intelligent—but also interpretable, ethical, and effective in real-world practice.

Papers are welcome from the following topics (but not limited to):

• Patient-specific modeling and simulation

• AI and machine learning for precision medicine

• Drug discovery

• Medical Image analysis

• Omics data analysis

• Deep Learning architectures for biomedical data analysis

• Deep learning for multi-omics data integration

• Real-world data and federated learning in healthcare

• Causal inference and explainability in clinical decision support systems

• Predictive modeling for drug response and toxicity

• Biomarker discovery

• Time-series and longitudinal data analysis for patient monitoring

• Ethics, fairness, and transparency in AI-driven medicine

• Large/small language models and AI agents in biomedical applications

Workshop style 

Full Online

Paper Submission Instructions

Full Papers, up to 8 pages according to BIBM 2026 paper template (IEEE Computer Society Proceedings Manuscript Formatting Guidelines -  https://www.ieee.org/conferences/publishing/templates.html): these papers will undergo a regular review process.

Full details are available here.

All accepted PRIMED 2026 workshop full papers will be published in the BIBM 2026 proceedings. 

The proceedings is available in IEEE Xplore Digital Library indexed by Google Scholar and Scopus.

Important Dates

• Paper Submission Deadline: September 27, 2026, Extended to October 14, 2026

• Notification of Acceptance: October 25, 2026

• Camera-Ready Deadline: November 08, 2026

• Workshop Day: December 04, 2026

Workshop Chairs 

Technical Program Committee Members

• Elena Pianfetti, University of Modena and Reggio Emilia, Italy

• Francesca Miccolis, University of Modena and Reggio Emilia, Italy

• Tiziana Currieri, University of Palermo, Italy   

• Giulia Corso, University of Modena and Reggio Emilia, Italy

• Carmelo Militello, Italian National Research Council (ICAR-CNR), Palermo, Italy

• Sebastiano Di Bella, University of Palermo, Italy

• Paolo Sortino, University of Palermo, Italy 

Publicity Chair

• Miriam Ala, University of Palermo, Italy

 Contact 

For further information or questions concerning the workshop, please contact the workshop organizers at: giovanni.cicceri@unipa.it, marta.lovino@unimore.it and francesco.prinzi@unipa.it