Flex Conference (Physical / Digital)

International Conference on Life Science Data Analytics and Engineering - (ICLSDAE-26)

12th - 13th October 2026 , Perth - Australia

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Call For Papers

The (ICLSDAE-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 Life Science Engineering 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 analytics in life sciences research
  • Machine learning applications in biology
  • Big data challenges in life sciences
  • Integration of data science in healthcare
  • Predictive modeling in life sciences
  • Bioinformatics and data visualization techniques
  • Ethics of data use in life sciences
  • Data sharing and collaboration in research
  • Impact of AI on life science analytics
  • Statistical methods in biological research
  • Real-time data analysis in healthcare
  • Applications of cloud computing in life sciences
  • Data-driven decision making in medicine
  • Challenges in life science data management
  • Interdisciplinary approaches to data analytics
  • Future trends in life science data engineering
  • Data privacy concerns in biomedical research
  • Innovations in laboratory information systems
  • Role of data analytics in public health
  • Education in life science data analytics

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.