Welcome to IEEE CIBCB 2026 Website! While Computational Intelligence has been highly developed and proven successful in various applications, its adoption in biomedical and bioinformatics analysis attracts significant attentions. This conference will bring together top researchers, practitioners, academics and students from around the globe to discuss the latest advances in the field of Computational Intelligence, as applied to real world problems in biomedical engineering, biology, bioinformatics, computational biology, chemical informatics, and related fields. In the workshop, keynotes and panels will also be organized to address new development in the field. Any person is welcome to submit his/her works.

While AI/CI has been highly developed and proven successful in various applications, its adoption in biomedical and bioinformatics analysis attracts significant attentions. This conference will bring together top researchers, practitioners, academics and students from around the globe to discuss the latest advances in the field of computational intelligence and artificial intelligence, as applied to real world problems in biomedical engineering, biology, bioinformatics, computational biology, chemical informatics, and related fields. In the workshop, keynotes and panels will also be organized to address new development in the field. Any person is welcome to submit his/her works.

Topics of Interest

AI/CI in Biomedical Engineering and Healthcare Informatics

    Medical and pathology image analysis
    Biomedical data modelling/data mining/model parametrization
    Health data acquisition/analysis/mining
    Healthcare information systems/knowledge representation/reasoning
    Personalized medicine
    Drug discovery
    Parallel/high performance computing
    Biomarker discovery and development

AI/CI in Medical Ethics and Legal Aspects

    Legal aspects of CI in medicine
    Ethics, fairness, biases
    Explainability/Interpretability/Understandability
    Sustainability

AI/CI in Bioinformatics

    scRNAseq analysis
    Evolution, phylogeny
    Comparative genomics
    Gene expression array analysis
    Metabolic pathway analysis
    Sequence alignment

AI/CI in Computational Biology

    Computational epidemiology
    Surrogate modeling and representation
    Systems and Synthetic Biology
    Structure prediction and protein folding
    Modelling, simulation, and optimization of biological systems
    Epigenomics