21st International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics

About CIBB

The International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB) is an international, multidisciplinary meeting for researchers exploring the application of Computational Intelligence techniques, broadly defined, to challenging problems in bioinformatics, biostatistics, and medical informatics.

CIBB welcomes submissions that highlight emerging trends and future directions at the intersection of computational and life sciences, with particular interest in the use of computational intelligence for systems and synthetic biology, statistical modelling and inference in complex biomedical data, and AI-driven biomedical research. Contributions from both theoretical and experimental biologists are strongly encouraged to foster interdisciplinary collaboration.

Authors are invited to submit short papers (4–6 pages) presenting original research in areas such as bioinformatics, biostatistics, systems and synthetic biology, medical informatics, and chemoinformatics. Accepted papers will be presented in plenary oral sessions or dedicated special sessions.

Since its foundation, CIBB has published 16 proceedings books, 4 sections of proceedings books, and 16 journal supplements, featuring around 500 peer-reviewed scientific contributions (see past editions).

Over the years, CIBB has established itself as a reference conference for the international community interested in data-driven and model-based approaches to the analysis of complex biological and biomedical systems. The conference provides a forum where methodological advances in computational intelligence, machine learning, and statistical modelling can be discussed in close connection with real-world applications in genomics, transcriptomics, medical imaging, clinical data analysis, and health-related data science.

A distinctive feature of CIBB is its emphasis on the interaction between methodological development and domain expertise. By bringing together researchers with backgrounds in computer science, statistics, mathematics, biology, medicine, and engineering, the conference promotes cross-fertilization between disciplines and encourages the transfer of advanced computational methods to practical problems in life sciences and biomedicine. This interdisciplinary perspective is central to addressing the increasing complexity, heterogeneity, and scale of modern biomedical data.

CIBB also places strong attention on emerging computational paradigms and innovative research directions, including scalable and high-performance computing approaches, quantum and hybrid quantum–classical computing models, explainable and trustworthy artificial intelligence, integrative analysis of multi-omics and multi-modal data, and computational support for personalized and precision medicine. In this context, the conference provides a venue for discussing both theoretical advances and early-stage applications of quantum-inspired and quantum-enabled methods for life sciences, alongside more established computational intelligence techniques. Special sessions are regularly organized to focus on timely topics and rapidly evolving areas, offering participants the opportunity to engage in focused scientific discussions within the broader conference framework.