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Call For Papers

The ICAIMLLSE 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 Life Science Engineering, encouraging applied research, case studies, and industry-driven innovations.

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

  • AI applications in life sciences
  • Machine learning for biomedical data
  • Predictive modeling in healthcare
  • AI-driven drug discovery processes
  • Natural language processing in medicine
  • Machine learning for patient outcomes
  • AI in genomics and proteomics
  • Data mining techniques in life sciences
  • Ethics of AI in healthcare
  • AI for personalized medicine approaches
  • Deep learning in medical imaging
  • AI-enhanced clinical decision support
  • Robotics and AI in surgery
  • Machine learning algorithms for diagnostics
  • AI in public health surveillance
  • Bioinformatics and machine learning integration
  • AI for disease prediction models
  • Interdisciplinary approaches in AI research
  • Challenges in AI implementation
  • Future of AI in life science engineering

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.