Flex Conference (Physical / Digital)

International Conference on AI and Data Science in Computational Biology - (ICAIDSCB-26)

8th - 9th October 2026 , Chicago - USA

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Call For Papers

The (ICAIDSCB-26) 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 Artificial Intelligence,Data Science,Bioinformatics 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:

  • Data science techniques in computational biology
  • AI applications in biological data analysis
  • Statistical models for biological data interpretation
  • Machine learning in genomics and proteomics
  • Computational methods for systems biology
  • AI-driven approaches for disease modeling
  • Bioinformatics tools for data visualization
  • Integration of AI in clinical research
  • Predictive analytics in personalized medicine
  • Data mining in biological databases
  • AI for understanding complex biological systems
  • Ethical issues in computational biology
  • AI applications in evolutionary biology
  • Real-world applications of data science
  • Collaborative research in computational biology
  • Future trends in AI and data science
  • AI for drug repurposing and discovery
  • Computational tools for microbiome analysis
  • AI in environmental and ecological studies
  • Case studies in AI and computational 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.