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Flex Conference (Physical / Digital)

International Conference on Applied Data Science in Healthcare and Life Sciences - (ICADS-HLS-26)

29th - 30th October 2026 , Nicosia - Cyprus

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Call For Papers

The (ICADS-HLS-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 Computational Science,Data Science 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 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

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.