AI-Based Medicine and Biological Data Analysis

Scope

The symposium invites original research contributions that focus on AI-based analysis of Medicine and Biological Data Analysis. Topics of interest include, but are not limited to:

• Multimodal biomedical data fusion from biosignals, imaging, wearable sensors, and omics
• Machine learning and deep learning methods for heterogeneous biomedical datasets
• AI-enabled analysis of biomedical data linked to environmental and bio-ecological factors
• Advanced signal processing techniques for improving data quality and robustness
• Interpretable and trustworthy AI for biomedical data analysis
• Real-time and scalable analytics for wearable and sensing systems
• Applications of multimodal biomedical data analysis in health, environmental monitoring, and sustainability
• Case studies demonstrating AI-driven insights from complex biomedical data

The symposium welcomes both academic and industry participants and encourages interdisciplinary and application-oriented contributions.