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Call For Papers

The ICADS-HLS 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 Computational Science, Data Science, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data science applications in healthcare
  • Machine learning in healthcare analytics
  • Statistical methods for healthcare data
  • Challenges in healthcare data science
  • Real-time data analysis in healthcare
  • Innovative algorithms for healthcare applications
  • Collaborative approaches to healthcare data science
  • Performance evaluation of healthcare models
  • Future trends in healthcare data science
  • Visualization techniques for healthcare data
  • Interdisciplinary applications of data science in healthcare
  • Ethics in healthcare data practices
  • Data management in healthcare analytics
  • Applications of AI in healthcare solutions
  • Dynamic modeling techniques for healthcare systems
  • Predictive analytics in healthcare decision-making
  • Data-driven approaches to healthcare improvement
  • Statistical computing in healthcare research
  • Case studies in healthcare data science applications
  • Healthcare data integration challenges

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.