The Late-Breaking Research track is a perfect place for bioinformatics researchers and medical informaticians to introduce their published work with exceptionally high practical significance, to further broaden the work's research impact and nurture collaborations. We invite the submission of published work in (but not limited to) the areas listed below:
- Digital twin frameworks for disease modeling, simulation, and therapeutic optimization
- Foundation models and representation learning for biological data
- Generative AI and large language models in bioinformatics
- Graph learning, knowledge graphs, and biological network modeling
- Single-cell and spatial omics modeling
- Multi-omics, multi-modal, and multi-scale data integration
- Genomics, variant analysis, and genotype–phenotype modeling
- Microbiome and ecological systems modeling
- Computational drug discovery, treatment simulation, and molecular design
- Biomarker discovery and precision medicine
- Biomedical imaging, clinical, and real-world health data analytics
- Uncertainty-aware, interpretable, and explainable AI for health
- Data management, benchmarking, reproducibility, and ethical deployment in biomedical AI
Submission Guidelines
We require the submission of a published manuscript (at least in arXiv) along with additional supplemental or unpublished data, to highlight the work. It is recommended to include a cover letter to provide a checklist of all submitted documents. The manuscript should be in PDF format, and all files should be zipped and submitted through Microsoft CMT at the following link: https://cmt3.research.microsoft.com/BIOKDD2026. The submissions will be judged for quality and relevance through single-blind reviewing.
Acknowledgment
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.