On-location / Digital Conference

International Conference on AI Models in Bioinformatics and Biomedical Engineering (ICAIMBBE-27)

09th - 10th Jan 2027,Buenos Aires, Argentina

In Association With:

Call for Paper


Important Dates


Early Bird Registration

10th Dec 2026

Paper Submission Deadline

15th December 2026

Registration Deadline

25th December 2026

Conference Date

09th - 10th Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Buenos Aires ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Buenos Aires conference.
  • Peer Review Process:
    The peer review process will begin soon for Buenos Aires conference.
  • Networking with Global Experts:
    Join global experts at our conference in Buenos Aires.
  • 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 ICAIMBBE 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 Models in Bioinformatics and Biomedical Engineering, 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 bioinformatics
  • Machine learning for biomedical data analysis
  • Predictive modeling in healthcare
  • Deep learning for genomic data interpretation
  • AI-driven drug discovery methodologies
  • Bioinformatics tools for big data
  • Integrating AI with clinical genomics
  • AI in personalized medicine approaches
  • Data mining techniques in biomedicine
  • Natural language processing in healthcare
  • AI for protein structure prediction
  • Ethical considerations in AI applications
  • AI-enhanced imaging in biomedical research
  • Computational methods in systems biology
  • AI for biomarker discovery
  • AI in epidemiological modeling
  • Robotics and AI in surgical applications
  • AI for patient data management
  • AI in vaccine development processes
  • Future of AI in biotechnology

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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