Flex Conference (Physical / Digital)

International Conference on Computational Biology and Bioinformatics Modeling - (ICCBBM-27)

28th - 29th June 2027 , Chiang Mai - Thailand

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Call For Papers

The (ICCBBM-27) 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 Computational Science, Data Science 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:

  • Computational biology modeling techniques
  • Bioinformatics data analysis methodologies
  • Machine learning in genomics research
  • Applications of computational biology in medicine
  • Systems biology and computational approaches
  • Data integration in bioinformatics
  • Computational methods for protein structure
  • Modeling biological systems with simulations
  • AI applications in drug discovery
  • Challenges in computational biology research
  • Computational techniques for microbiome studies
  • Bioinformatics tools for data analysis
  • Emerging trends in computational biology
  • Interdisciplinary approaches to bioinformatics
  • Computational modeling of disease processes
  • Ethics in computational biology research
  • Future directions in bioinformatics
  • Machine learning for personalized medicine
  • Collaborative research in computational biology
  • Computational methods for evolutionary studies

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.