The goal of the BIOKDD 2026 is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers’ expertise and communities for this year’s BIOKDD workshop, we will feature the theme “Digital Twins”, which enables the simulation of disease trajectories, microenvironmental interactions, cell-cell communication, and post-treatment outcome prediction. We also welcome broader research applying data mining to address biomedical problems. The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.

As a tradition of BIOKDD, accepted original submissions will be invited to publish in BIOKDD Special Issue on IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).

TOPICS OF INTEREST
• 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