The International Conference on Computational Biology and Artificial Intelligence (ICCBAI 2026) advances the integration of computational biology and artificial intelligence to drive innovation in biomedical research, data analysis, and precision healthcare.
Key Topics
- Computational biology methods
- Protein structure and protein design modeling
- Multi-omics data integration and analysis
- Cancer genomics and variant interpretation
- Single-cell and spatial transcriptomics analytics
- Metagenomics and microbiome data mining
- Biological network modeling and simulation
- Virtual drug screening and off-target prediction
- Biomedical knowledge graph construction
- Artificial intelligence for biology
- AI-driven drug discovery and molecular generation
- Generative AI and foundation models for biology
- Explainable AI in biomedical decision-making
- AI-powered genome interpretation and annotation
- Multimodal single-cell data integration
- AI reasoning with biomedical knowledge graphs
- Laboratory automation and closed-loop AI systems
- Clinical trial design and patient stratification using AI
Who should Attend
- Computational biologists and bioinformaticians
- Artificial intelligence and machine learning researchers
- Biomedical and biotechnology engineers
- Clinical researchers and healthcare scientists
- Drug discovery and pharmaceutical professionals
- Data scientists working in life sciences
- Academics and postgraduate researchers in biomedicine
- Industry professionals developing AI-driven healthcare solutions
