(The following topics include but are not limited to)
Track 1: Bioinformatics
Algorithms, models, software and tools in bioinformatics
Innovative research methods for bioinformatics problems
Applications in diagnosis, prognosis, treatment, monitoring and rehabilitation
Biological devices/biological sensors and molecular diagnostic technologies
Computational proteomics
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 modeling and identification
Immune and chemical informatics
Multi-scale modeling and integrated research
Next-generation sequencing technology, application in drug use
Biological engineering probability and optimization methods
Protein interaction, docking and function research
Protein structure, function and sequence analysis
Structural bioinformatics
Structure, function and comparative genomics
Track 2: Computational Intelligence
Computational evolutionary biology
Computational intelligence technologies
Computational molecular systems
Computational neuroscience
Data collection, standardization, analysis and visualization
Data management and modeling tools
Data mining and machine learning
Databases and data management
Drug design and computer-aided diagnosis
Emerging numerical methods and computing tools
Formal verification of biological systems
Research on gene regulation, expression, recognition and networks
Systems biology of high-performance computing and parallel implementation
Image analysis technology
Inference of high-throughput experimental data
Application of information technology in computational bioengineering
Model integration of biological databases
Track 3: Health Big Data
Medical data and medical informatization
Medical data security
Healthcare services and health informatics
Biomedical data mining
Telemedicine/precision medicine and big data
Genomics big data
Life-cycle personal health big data
Disease risk database, medical imaging big data
Big data disease networks with cross-database associations
Fuzzy recognition algorithms for clinical big data
Big data insurance
Patient medical data cloud and hierarchical diagnosis
Medical Internet of Things
Wearable technology and sensors
Medical diagnostic computing ……