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