(The following topics include but are not limited to)
Track 1: Medical Artificial Intelligence
Medical Big Data Processing
Machine Learning and Medical Deep Learning
Frontier Technologies of Artificial Intelligence
Application of Federated Learning in Medicine
Edge Computing and Medical AI
Blockchain and Medical Data Sharing
Clinical Decision Support System
Disease Prediction and Forecast System
Intelligent Drug Development
Multimodal Data Fusion Diagnosis and Treatment
Intelligent Medical Devices and Medical Robots
Medical Wearable Devices
Biometrics
Intelligent Surgical Robots
Rehabilitation Robots
Intelligent Health Monitoring Devices
Track 2: Bioinformatics
Next-generation and Third-generation Sequencing Technologies
DNA, RNA and Protein Sequence Analysis
Sequence Analysis and Genome Assembly Genome analysis
Genomics
Proteomics and other omics
Single-cell omics
Metagenomic data analysis
Functional genomics
Gene expression analysis
Structural bioinformatics
Structural bioinformatics and computational biochemistry
Protein folding
Computational proteomics
Discovery of biomarkers
Cancer genomics
Population genetics
Genetics and population analysis
Epigenetics/epigenomics
Translational bioinformatics
Combinatorial optimization in molecular biology
Track 3: Computational Medicine
Adaptive computing in bioinformatics
Parallel and distributed computing in 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
Clinical databases and information systems
Big data analysis in the medical and health field
Data-driven healthcare
Disease classification
Drug discovery and validation
Biological imaging ...