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Call For Papers

The ICAIDSBD 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 Artificial Intelligence,Data Science,Bioinformatics, encouraging applied research, case studies, and industry-driven innovations.

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

  • AI for biomarker discovery methodologies
  • Machine learning in biomarker validation
  • Predictive modeling for biomarker identification
  • Integration of omics data for biomarkers
  • AI applications in cancer biomarker research
  • Ethical considerations in biomarker discovery
  • Case studies of successful biomarker discoveries
  • AI for personalized medicine biomarkers
  • Challenges in biomarker discovery processes
  • AI in early disease detection biomarkers
  • Collaborative projects in biomarker research
  • AI for understanding biomarker mechanisms
  • Future trends in biomarker discovery
  • AI-enhanced biomarker data visualization
  • Machine learning for biomarker signatures
  • AI in population health biomarker studies
  • AI for improving diagnostic biomarkers
  • Integration of clinical data in biomarker research
  • AI for biomarker discovery in rare diseases
  • AI in drug response biomarker identification

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.