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International Conference on Applied Data Science in Healthcare and Life Sciences (ICADS-HLS-27)

31st - 01st Jun 2027,Vitoria, Brazil

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Call for Paper

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Important Dates


Early Bird Registration

01st May 2027

Paper Submission Deadline

6th May 2027

Registration Deadline

16th May 2027

Conference Date

31st - 01st Jun 2027

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Vitoria ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Vitoria conference.
  • Peer Review Process:
    The peer review process will begin soon for Vitoria conference.
  • Networking with Global Experts:
    Join global experts at our conference in Vitoria.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

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 Applied Data Science in Healthcare and Life Sciences, 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

Assessment

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.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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