The 1st International Workshop on PRecision Individualized MEDicine with artificial intelligence and bioinformatics (PRIMED2025)
in conjunction with
December 15-18, 2025 Wuhan, China
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Workshop Introduction
Workshop Introduction
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.
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.
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):
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 language models in biomedical applications
Workshop style
Workshop style
Full Online
Full Online
Paper Submission Instructions
Paper Submission Instructions
Full Papers, up to 8 pages according to BIBM 2025 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 2025 workshop full papers will be published in the BIBM 2025 proceedings.
The proceedings is available in IEEE Xplore Digital Library indexed by Google Scholar and Scopus.
Important Dates
Important Dates
Paper Submission Deadline: October 02, 2025
Notification of Acceptance: November 10, 2025
Camera-Ready Deadline: November 23, 2025
Workshop Day: December 15-18, 2025
Workshop Organizers
Workshop Organizers
Giovanni Cicceri
University of Palermo, Italy
Marta Lovino
University of Modena and Reggio Emilia, Italy
Francesco prinzi
University of Palermo, Italy
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
Gianluca Carlini, University of Bologna, Italy
TBA
TBA
TBA
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
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