(The following topics include but are not limited to)
Track 1: Bioinformatics
Integration and analysis of multi-omics data (genomics, transcriptomics, proteomics, metabolomics)
Single-cell sequencing data analysis and spatial omics technology
Modeling of gene regulatory networks and systems biology
Protein structure prediction, functional annotation, and RNA structure modeling
Epigenetics, non-coding RNA, and regulatory mechanism analysis
Comparative genomics, population genetics, and evolutionary biology
Macrogenomics and microbial group data analysis
Bio-network analysis and knowledge graph construction
Structural bioinformatics and computational biochemistry
Modeling of bio-data fusion and multi-scale simulation
Drug target prediction and drug repositioning calculation
Computational design and simulation of synthetic biology
Bio-data visualization and interactive analysis platform
Track 2: Computational Medicine
Medical image processing and computer-aided diagnosis (X-ray, CT, MRI, ultrasound)
Medical image segmentation, registration, reconstruction, and three-dimensional visualization
Clinical decision support systems and intelligent diagnosis
Electronic medical records and clinical big data mining
Disease classification and early detection driven by deep learning
Multimodal medical image fusion and cross-modal analysis
Imaging biomarker discovery
Disease progression prediction and prognosis modeling
Surgical navigation, image-guided interventional, and virtual surgery
Digital pathology analysis and full-slide image processing
Intraoperative perception of medical robots and intelligent assistance in surgery
Real-time processing of biomedical data streams and anomaly detection
Fusion of wearable devices and mobile medical health monitoring data
Track 3: Intelligent Information Processing
New algorithms of machine learning and deep learning and their biomedical applications
Explainable artificial intelligence (XAI) and transparent medical decision-making
Natural language processing and medical text mining
Computer vision and medical image understanding
Multimodal intelligent information processing and cross-modal representation learning
Knowledge representation, reasoning, and semantic web technology
Federated learning and privacy-protected medical data analysis
Fine-tuning and application of large language models (LLM) in the field of biomedicine
Cloud computing, edge computing, and distributed medical information systems
Information retrieval and knowledge management systems
Human-computer interaction and intelligent interface design
Data science, big data analysis, and data visualization
Intelligent robots, autonomous systems, and information processing in the Internet of Things ......