(The following topics include but are not limited to)
Track 1: Computational Biology
Adaptive techniques in bioinformatics
Parallel and distributed computing in computational life sciences
Bionic computing
Data mining, machine learning and artificial intelligence
Bio-data visualization
Computational systems biology
Modeling and simulation of biological processes and pathways
Reconstruction and analysis of biological networks
Molecular evolution and systematics
Formal verification of biological systems
Medical and biomedical informatics
Health informatics
Clinical databases and information systems
Big data analytics in the medical and health field
Data-driven healthcare
Disease classification, biological imaging
Track 2: Bioinformatics
Algorithms, models, software and tools in bioinformatics
Innovative research methods for bioinformatics problems
Applications in diagnosis, prognosis, treatment, monitoring and rehabilitation
Biological devices/bio-sensors and molecular diagnostic technologies
Structure, function and sequence analysis of DNA and RNA
Experimental methods for model validation
Genetic engineering and protein engineering
Research on gene regulation, expression, recognition and networks
Genomics and proteomics
Imaging, instruments and sensing technologies for model generation and identification
Immune and chemical informatics
Multi-scale modeling and integrated research
Next-generation sequencing technologies
Application in the field of medicine
Biomedical and health informatics
Telemedicine and electronic healthcare
Healthcare system
Medical artificial intelligence, etc.
Track 3: Data Science
Big data applications
Application of artificial intelligence and public health
Statistics and applied statistics
Digital health, health informatics, health information management
Smart cities and public health
Application of bioinformatics in public health
Biomedical and health informatics
Telemedicine and electronic healthcare
Healthcare system
Medical artificial intelligence, etc. ...