(The following topics include but are not limited to)
Track 1: Biomedical Engineering and Intelligent Diagnosis
Biomedical signal detection, processing and pattern recognition
Medical imaging and image processing
Wearable and implantable health monitoring devices
Biological sensors and biological interface circuits
Neural engineering and brain-computer interface
Rehabilitation engineering and assistive technologies
Intelligent diagnosis systems and clinical decision support
Precision medicine and personalized healthcare
Medical robots and intelligent surgical systems
Biomedical systems with machine learning and deep learning
Track 2: Bioinformatics Engineering and Omics Analysis
Genomics and proteomics
Next-generation sequencing and high-throughput data analysis
Biosequence analysis and structural bioinformatics
Systems biology and biological network modeling
Computational evolutionary biology and population genetics
Metabolomics and multi-omics data integration
Drug design and computer-aided diagnosis
Biological big data analysis and data mining
Bioinformatics databases and knowledge management
Clinical bioinformatics and translational medicine
RNA informatics and epigenomics
Synthetic biology and computational neuroscience
Track 3: Intelligent Computing and Medical Artificial Intelligence
Applications of machine learning and deep learning in biomedicine
Intelligent analysis of medical images and computer vision
Medical natural language processing and text mining
Federated learning and privacy-protected medical AI
Edge computing and medical Internet of Things (IoMT)
Interpretable AI and transparency in medical decision-making
Multimodal medical data fusion and analysis
Application of big data platforms and cloud computing in healthcare
Intelligent sensing and sensor fusion systems
Digital pathology and digital health
Innovative applications of generative AI in biomedicine
Medical information systems and electronic health records...