(The following topics include but are not limited to)
Track 1: Biomedical Engineering and Medical Technology
Medical Imaging and Image Processing (MRI, CT, Ultrasound, Optical Imaging)
Biomedical Instrumentation and Sensor Design
Wearable and Implantable Medical Devices
Biological Materials and Tissue Engineering
3D Bioprinting and Regenerative Medicine
Applications of Nanotechnology in Biomedicine
Biomechanics and Rehabilitation Engineering
Neural Engineering and Brain-Computer Interfaces
Medical Robots and Surgical Assistance Systems
Flexible Electronics and Smart Textiles in Medicine
Chip Laboratories and Point-of-Detection Devices
Artificial Organs and Assisted Circulation Technologies
Biophotonics and Optical Biomedical Sensing
Interoperability and Standardization of Medical Equipment
Track 2: Biomedical Signal Processing and Intelligent Analysis
Physiological Signal Acquisition and Denoising (EEG, ECG, EMG, PPG, etc.)
Time-Frequency Analysis and Nonlinear Analysis of Biomedical Signals
Classification and Pattern Recognition of Biological Signals
Brain Signal Analysis and Neuroimaging (EEG/fNIRS/fMRI)
Electrocardiogram and Cardiovascular Signal Processing
Electromyography and Motion Intention Decoding
Wearable Sensor Signal Processing
Biomedical Signal Compression and Transmission
Multimodal Physiological Data Fusion
Deep Learning and Artificial Intelligence in Biomedical Signal Processing
Federated Learning and Privacy-Preserving Health Data Analysis
Generative AI for Physiological Signal Synthesis and Enhancement
Edge Computing in Biomedical Signal Processing
Real-Time Physiological Monitoring and Abnormal Detection Algorithms
Speech and Auditory-related Biomedical Signal Processing
Track 3: Medical Health Applications and Clinical Translation
Computer-Assisted Diagnosis and Treatment Decision Support
AI-Driven Precision Medicine and Personalized Treatment
Remote Medicine and Remote Patient Monitoring
Mobile Health (mHealth) and Digital Therapies
Medical Internet of Things (IoMT) and Body Area Networks
Electronic Health Records and Medical Information Systems
Mining of Health Big Data and Clinical Prediction Modeling
Chronic Disease Management and Intelligent Health Management
Medical Imaging-Guided Interventional Therapy
Application of Virtual Reality and Augmented Reality in Medical Training and Rehabilitation
Application of Digital Twinning in Medical Health
Medical Data Security, Privacy, and Ethics
Interpretable AI in Clinical Decision Making
Blockchain Technology in Medical Health
Public Health Monitoring and Intelligent Epidemic Early Warning
Intelligent Assessment of Mental Health and Neurological Diseases
...