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Flex Conference (Physical / Digital)

International Conference on AI and Bioinformatics in Drug Discovery - (ICAIBDD-26)

26th - 27th September 2026 , Sharjah - UAE

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Call For Papers

The (ICAIBDD-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:

  • AI-driven drug discovery methodologies
  • Bioinformatics in drug target identification
  • Machine learning for drug repurposing
  • Predictive modeling in drug discovery
  • Data mining for pharmacogenomics insights
  • AI applications in clinical trial design
  • Computational methods for drug design
  • Integration of omics data in drug discovery
  • Ethics of AI in drug development
  • Case studies of successful AI drug discoveries
  • AI for biomarker identification in drug response
  • Big data analytics in pharmaceutical research
  • AI in personalized medicine approaches
  • Challenges in AI for drug discovery
  • Collaborative platforms for drug discovery
  • Regulatory considerations for AI in pharmaceuticals
  • Impact of AI on drug development timelines
  • AI-enhanced virtual screening techniques
  • Future directions in AI for drug discovery
  • Interdisciplinary approaches to drug discovery

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.