(Include but not limited to)
Track 1: Bioinformatics and Computational Biology
Genomics, transcriptomics and proteomics analysis
Single-cell sequencing and spatial omics data analysis
Integration and fusion modeling of multi-omics data
Gene regulatory network and systems biology modeling
Protein structure prediction and functional annotation
Epigenetics and non-coding RNA analysis
Comparative genomics and evolutionary biology
Metagenomics and microbial group data analysis
Bio-network analysis and pathway modeling
Structural bioinformatics and molecular docking
Drug target prediction and computer-aided drug design
Computational design and simulation in synthetic biology
Development of bioinformatics algorithms and software tools
Bio-data visualization and interactive analysis platform
Track 2: Computational Medicine and Clinical Intelligence
Medical image analysis and computer-assisted diagnosis
Medical image segmentation, registration and three-dimensional reconstruction
Clinical decision support systems and intelligent diagnosis
Mining of electronic medical records and clinical big data analysis
Disease classification, progression prediction and prognosis modeling
Imageomics and biomarker discovery
Precision medicine and personalized treatment modeling
Drug genomics and drug response prediction
Computational epidemiology and infectious disease modeling
Digital pathology and whole-slide image analysis
Surgical navigation and virtual surgery simulation
Validation and interpretability of clinical prediction models
Medical data privacy protection and security governance
Medical data standardization and interoperability
Track 3: Health Informatics and Intelligent Health Management
Health information systems and electronic health records
Medical Internet of Things and smart ward systems
Wearable devices and health monitoring data analysis
Mobile health (mHealth) and telemedicine
Health management through artificial intelligence and big data-driven approaches
Application of large language models in medical health
Knowledge graphs and medical semantic computing
Federated learning and privacy-protected health data collaboration
Intelligent health alerts and chronic disease management
Digital therapeutics and intelligent rehabilitation systems
Psychological health computing and emotion recognition
Public health monitoring and intelligent early warning systems
Health information visualization and decision support
Medical AI ethics, regulations and clinical translation pathways
......