HYBRID EVENT: You can participate in person at Lautoka, Fiji or Virtually from your home or work

Information

  • Home
  • Call for Paper

Call For Papers

The ICBIML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • Machine learning in genomics
  • Bioinformatics data analysis techniques
  • Predictive modeling in bioinformatics
  • Applications of machine learning in healthcare
  • Genetic data mining using ML
  • Protein structure prediction methods
  • Machine learning for drug discovery
  • Biological network analysis with ML
  • Data integration in bioinformatics
  • Machine learning for personalized medicine
  • High-throughput sequencing data analysis
  • Bioinformatics tools and software development
  • Ethical considerations in bioinformatics
  • Machine learning for disease prediction
  • Visualization techniques for bioinformatics data
  • Comparative genomics using machine learning
  • Machine learning for microbiome studies
  • Challenges in bioinformatics data interpretation
  • Machine learning in systems biology
  • Future trends in bioinformatics research

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
image

Institute for Sustainable Innovation & Technology (ISIT) is one of the biggest professional organisations in South Asia and offers the greatest technical assistance to professionals, researchers, and students.

QUICK LINKS

ORGANIZER

ISIT

Email : [email protected]

Phone : +1 7178835943

Copyright © All Rights Reserved Terms & Conditions