International Conference on

Computational Biology and Machine Learning (ICCBML-26)

20th – 21st Oct 2026 | Seattle, USA | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Computational Biology and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Machine learning in genomics and proteomics
02
Predictive modeling in computational biology
03
Bioinformatics applications of machine learning
04
Data mining techniques for biological data
05
Machine learning for drug discovery
06
Systems biology and machine learning integration
07
Machine learning for personalized medicine
08
Challenges in biological data analysis
09
Machine learning for disease prediction
10
Genetic algorithms in computational biology
11
Machine learning for protein structure prediction
12
Ethics in computational biology research
13
Machine learning for microbiome analysis
14
Data visualization in bioinformatics
15
Machine learning in clinical trials
16
Applications of ML in epidemiology studies
17
Machine learning for agricultural biotechnology
18
Future trends in computational biology
19
Integration of AI in biological research
20
Machine learning for environmental biology
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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