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International Conference on Computational Biology and Machine Learning - (ICCBML-27)

13th - 14th January 2027 , Surat Thani - Thailand

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Call For Papers

The (ICCBML-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 Machine Learning 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:

  • Machine learning in genomics and proteomics
  • Predictive modeling in computational biology
  • Bioinformatics applications of machine learning
  • Data mining techniques for biological data
  • Machine learning for drug discovery
  • Systems biology and machine learning integration
  • Machine learning for personalized medicine
  • Challenges in biological data analysis
  • Machine learning for disease prediction
  • Genetic algorithms in computational biology
  • Machine learning for protein structure prediction
  • Ethics in computational biology research
  • Machine learning for microbiome analysis
  • Data visualization in bioinformatics
  • Machine learning in clinical trials
  • Applications of ML in epidemiology studies
  • Machine learning for agricultural biotechnology
  • Future trends in computational biology
  • Integration of AI in biological research
  • Machine learning for environmental biology

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.

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