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ICCM-BME · Registering as Listener

International Conference on Computational Modeling in Biomedical Engineering

22 - 23 Sep 2026 Amsterdam, Netherlands Standard / Physical Participation
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$135
virtual · $195 in person
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Registration summary

ConferenceICCM-BME
ModeVirtual
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICCM-BME conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities
01 Advancements in Computational Modeling Techniques +
This track focuses on the latest methodologies in computational modeling within biomedical engineering. Contributions that explore novel algorithms and frameworks for predictive modeling are particularly encouraged.
02 Machine Learning Applications in Biomedical Engineering +
This session will delve into the application of supervised and unsupervised learning techniques in biomedical contexts. Papers discussing innovative uses of deep learning for medical diagnostics and treatment optimization are welcome.
03 Anomaly Detection in Biomedical Systems +
This track addresses the challenges and solutions related to anomaly detection in biomedical engineering applications. Submissions that highlight real-world case studies and methodologies for identifying anomalies in health data are encouraged.
04 Feature Extraction and Data Preprocessing +
This session will cover techniques for effective feature extraction and data preprocessing in biomedical datasets. Contributions that demonstrate the impact of these techniques on model performance and accuracy are sought.
05 Workflow Automation in Biomedical Engineering +
This track explores the integration of workflow automation in biomedical engineering processes. Papers that present innovative approaches to streamline operations and enhance efficiency through automation are invited.
06 System Monitoring and Predictive Maintenance +
This session focuses on the role of computational modeling in system monitoring and predictive maintenance within biomedical engineering. Contributions that demonstrate the application of industrial IoT technologies for predictive analytics are welcome.
07 Digital Twin Technologies in Healthcare +
This track examines the use of digital twin technologies to create virtual representations of biomedical systems. Papers that discuss the implications of digital twins for simulation, monitoring, and optimization in healthcare are encouraged.
08 Simulation and Analytics in Biomedical Engineering +
This session will highlight the importance of simulation and analytics in the development and evaluation of biomedical engineering solutions. Contributions that showcase innovative simulation techniques and their applications in real-world scenarios are invited.
09 Process Optimization in Biomedical Systems +
This track focuses on methodologies for process optimization in biomedical engineering applications. Papers that present quantitative analyses and optimization frameworks that enhance system performance are encouraged.
10 System Integration in Biomedical Engineering +
This session will explore the challenges and strategies associated with system integration in biomedical engineering. Contributions that address interoperability and integration of diverse biomedical systems are welcome.
11 Biomechanical Modeling and Computational Biology +
This track examines the intersection of biomechanical modeling and computational biology in advancing biomedical engineering. Papers that explore innovative modeling techniques and their applications in understanding biological systems are invited.