International Conference on Computational Biology and Machine Learning
(ICCBML - 26)

6th - 7th October 2026 Bruges, Belgium (Hybrid Event)

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Call for Paper

The ICCBML is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Machine Learning, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Sponsored & Indexed by

Advancing Research Stability

SNRI maintains uninterrupted academic processes in the current global situation. Participants can engage and publish through online and blended conference formats.

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