About the Papers

The 20th International Conference on Data and Text Mining in Biomedical Informatics (DTMBIO 2026) brings together researchers and practitioners to present innovative applications of state-of-the-art informatics methods in biomedical research.

Biomedical researchers face growing challenges in extracting, integrating, interpreting, and utilizing information from diverse biomedical data, including medical literature, genomic sequencing, proteomics, and clinical records.

DTMBIO 2026 welcomes submissions addressing these challenges from methodological, applied, and evaluative perspectives. Accepted full papers will be invited for a special issue of the Computational and Structural Biotechnology Journal (CSBJ) or sister journals in the Science Partner Journals (SPJ).

Topics of Interest

Relevant topics include, but are not limited to: 

• Artificial intelligence-driven analysis of large-scale biological and clinical datasets
• Protein and RNA structure prediction using deep learning approaches
• Gene and genome annotation with machine learning techniques
• Biomedical and clinical text mining and natural language processing
• Information retrieval from large biomedical data collections
• Genomic, transcriptomic, and multi-omics data integration and analysis
• Human microbiome data mining and modeling
• Medical ontologies and semantic data integration
• Named entity recognition and concept extraction in biomedical text
• Discovery of sequence and structural motifs
• Modeling of biochemical pathways and biological networks
• Image mining in medical and healthcare informatics
• AI-driven approaches in drug discovery, systems biology, and biomedical workflows
• Big bio- or clinical-data analytics