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International Conference on Computational Modeling in Biomedical Engineering - (ICCM-BME-26)

22nd - 23rd September 2026 , Amsterdam - Netherlands

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Call For Papers

The (ICCM-BME-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Biomedical Engineering are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Modeling biological systems with computational tools
  • Simulation techniques in biomedical engineering
  • Computational fluid dynamics in healthcare
  • Mathematical modeling of physiological processes
  • Data-driven approaches in biomedical modeling
  • Predictive analytics in medical applications
  • Virtual patient modeling for treatment planning
  • Computational techniques for tissue engineering
  • Modeling biomechanics of human movement
  • Integration of AI in biomedical modeling
  • Real-time simulation in surgical procedures
  • Computational modeling of drug delivery systems
  • Systems modeling for chronic disease management
  • Multiscale modeling in biomedical research
  • Modeling cellular responses to therapies
  • Computational tools for health informatics
  • Simulation of medical imaging techniques
  • Modeling the impact of public health interventions
  • Computational neuroscience and brain modeling
  • Emerging technologies in computational modeling

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.