On-location / Digital Conference

International Conference on AI and Data Science for Genomic Medicine (ICAIDSGM-27)

31st - 01st Jun 2027,Sylhet, Bangladesh

In Association With:

Call for Paper


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

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Sylhet ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Sylhet conference.
  • Peer Review Process:
    The peer review process will begin soon for Sylhet conference.
  • Networking with Global Experts:
    Join global experts at our conference in Sylhet.
  • 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 ICAIDSGM 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 AI and Data Science for Genomic Medicine, 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 genomic medicine
  • Machine learning for genomic data interpretation
  • Predictive modeling in genomic health
  • Integration of genomic data with clinical data
  • AI for personalized genomic therapies
  • Ethical considerations in genomic medicine
  • AI in rare disease genomics
  • Case studies in genomic medicine applications
  • AI for pharmacogenomics insights
  • Challenges in genomic data analysis
  • AI for understanding genetic disorders
  • Collaborative genomic medicine projects
  • AI in population genomics studies
  • Future directions in genomic medicine
  • AI-enhanced genomic data visualization
  • Machine learning for variant classification
  • AI in genomic epidemiology research
  • AI for improving genomic diagnostics
  • Integration of multi-omics in genomic medicine
  • AI for genomic data security and privacy

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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