Biomedical Engineering and Smart Medicine

Background

Recent advances in biomedical engineering and smart medicine have significantly transformed healthcare systems by integrating artificial intelligence, data analytics, and intelligent devices into clinical practice. At the same time, brain science has emerged as a key frontier for understanding cognition, consciousness, and complex biological regulation. However, the increasing complexity of biomedical systems requires more unified theoretical frameworks to connect multidisciplinary knowledge.

General Integrative Theory, inspired by system-level thinking and brain structure-function relationships, provides a promising approach to bridging neuroscience, engineering, and medical sciences. It emphasizes the holistic understanding of biological systems through integration of structural, functional, and informational processes. By combining brain science with advanced engineering methods, researchers can better model physiological mechanisms, improve diagnostic precision, and develop intelligent therapeutic strategies. This interdisciplinary convergence offers new opportunities for advancing both theoretical innovation and practical applications in modern medicine.

The symposium, which serves as a specialized session of the 6th International Conference on Biological Engineering and Medical Science (ICBioMed 2026), will focus on medicine and biomedical engineering.

Goal/Rationale

Despite rapid progress in biomedical technologies and neuroscience, a major challenge remains in integrating fragmented knowledge across disciplines into a coherent analytical framework. Current research often focuses on isolated aspects of biological systems, limiting the ability to fully understand complex interactions within the human body, particularly in the brain. Moreover, the application of intelligent technologies in medicine requires deeper theoretical support to ensure reliability, interpretability, and clinical relevance.

This symposium aims to address these challenges by promoting interdisciplinary dialogue centered on brain science and General Integrative Theory. The primary objectives include:

• Establish a platform for discussing integrative approaches in biomedical engineering and smart medicine
• Explore how brain science can inform system-level modeling and intelligent healthcare solutions
• Examine the application of General Integrative Theory in understanding complex biological and medical systems
• Promote the development of computational and engineering methods for diagnosis, treatment, and health management
• Foster collaboration among researchers in neuroscience, biomedical engineering, artificial intelligence, and clinical medicine
• Identify key challenges in translating theoretical models into practical medical applications
• Support future research directions that enhance precision medicine and intelligent healthcare systems

Through these efforts, the symposium seeks to advance a more unified and systematic understanding of biomedical systems and accelerate innovation in smart medicine.

Scope

This symposium focuses on interdisciplinary research at the intersection of biomedical engineering, brain science, and integrative theoretical frameworks. Contributions are encouraged from both theoretical and applied perspectives. Relevant topics include, but are not limited to:

• Brain structure, function, and computational modeling
• General Integrative Theory and system-level analysis of biological processes
• Intelligent medical systems and smart healthcare technologies
• Biomedical signal processing and neuroinformatics
• AI-driven diagnosis and decision support systems
• Brain-inspired computing and neural engineering
• Multimodal data integration in medical research
• Modeling and simulation of complex physiological systems
• Applications in precision medicine and personalized healthcare
• Translational research linking theory with clinical practice

Submissions should demonstrate clear theoretical insights, methodological rigor, or practical relevance, contributing to a deeper understanding of complex biomedical systems within an integrative framework.