(Including but not limited to the following topics)
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 network
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 technologies
Drug application fields
Probability and optimization methods in bioengineering
Protein interaction, docking and function research
Protein structure, function and sequence analysis
Sequence analysis techniques
Structural bioinformatics
Structure, function and comparative genomics
Structural prediction methods
Synthetic biology
Track 2: Genetics
Genomic medicine
CRISPR and its subsequent technologies
Single-cell multi-omics analysis
Multi-gene risk score epigenetics
Rare genetic diseases
Rare disease diagnosis
Neurogenetics, reproductive genetics, longevity genetics
Gene therapy delivery
Autoimmune genetics
Cardiovascular genomics
Global health genomics
Microbiome and health
Cancer genomics, pharmacogenomics
Population genetics
Mitochondrial genetics
Track 3: Health Data Analysis
Health data
Big data technologies
Machine learning and artificial intelligence in health data
Data mining techniques
Data visualization
Real-time health monitoring and data analysis technologies
Interdisciplinary data analysis
Predictive analysis
Electronic health records (EHR)
Health data sharing
Public health intervention strategies based on data analysis
Data-driven decision-making in precision medicine
Health informatization and ethical considerations of big data
Analysis methods for integrating multi-source health data
AI-based health risk prediction and assessment ......