(Including but not limited to the following topics)
Track 1: Bioinformatics
Genome/transcriptome/proteome data analysis algorithms
Single-cell multi-omics data integration methods
Metagenomics and microbiome analysis techniques
Protein structure and function prediction algorithms
Biosequence alignment and variant detection optimization
Biological network construction and dynamic modeling
Biomedical text mining and knowledge graph
High-performance computing and cloud computing applications in bioinformatics
Bioinformatics databases and resource sharing platforms
Bioinformatics visualization and interactive tools
Artificial intelligence-driven bioinformatics methods
Open-source bioinformatics software ecosystem
Track 2: Computational Biology
Multi-scale biological system computational simulation
Gene regulatory network inference and validation
Cell signaling pathway dynamic modeling
Metabolic network analysis and phenotypic prediction
Host-pathogen interaction computational models
Evolutionary biology computational analysis methods
Progress in biomolecular dynamics simulation
Computational systems pharmacology and drug design
Synthetic biology computational design platform
Complexity theory and emergent behavior in biology
Computational biological experimental verification cases
Innovative computational biology education
Track 3: Health Informatics
Intelligent analysis of electronic health records
Medical image computing and diagnostic assistance
Development of clinical decision support systems
Mobile health data monitoring and management
Privacy and security governance of health big data
Computational generation of real-world evidence
Disease risk prediction and stratification models
Construction of precision medicine informatics platforms
Public health monitoring and early warning systems
Medical knowledge graph and intelligent question answering
Digital therapeutics and telemedicine technologies
Health informatics standards and interoperability ......