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


9th - 10th April, 2027 | Accra, Ghana

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

10th March, 2027

Paper Submission Deadline

15th March, 2027

Last Date Of Registration

25th March, 2027

Date Of Conference

9th - 10th April, 2027

Downloads

Call for Papers

The (ICCBML-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Machine Learning, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.