(Topics include but are not limited to)
Topic 1: Data Mining
statistics
machine learning
Database management
Data visualization
artificial intelligence
information retrieval
statistical learning theory
Mathematical optimization
natural language processing
Computer Science:
Computing infrastructure and algorithm design
business intelligence
Big data technology
Time series analysis
pattern recognition
network analysis
Privacy and Data Security
Domain Knowledge
Ethical research
Data cleaning and preprocessing
Technologies applied to specific fields
Topic 2: Bioinformatics
Algorithms, models, software, and tools in bioinformatics
Applied to diagnosis, prognosis, treatment, monitoring, and rehabilitation
Biological devices/biosensors and molecular diagnostics
Computational proteomics
Structure, Function, and Sequence Analysis of DNA and RNA
Experimental methods for model validation
genetic engineering
protein engineering
Gene regulation, expression, identification, and networking
GENOMICS AND PROTEOMICS
Imaging, instruments, and sensors used for model generation and recognition
Immunology and Chemical Informatics
Probability and Optimization Methods in Bioengineering
Protein interactions, docking, and function
Protein structure, function, and sequence analysis
Sequence analysis
structural bioinformatics
Structural, Functional, and Comparative Genomics
Synthetic biology
Topic 3: Health Statistics
epidemiology statistics
Health data analysis
Disease prediction model
Optimization of medical resources
Health behavior statistics
clinical trial design
Research on Health Inequality
Public Health Statistics
Health big data mining
Health Policy Evaluation
Including but not limited to the above topics