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International Conference on AI Models in Systems Biology (ICAMSB-26)

25th - 26th Sep 2026,Washington DC, USA

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Call for Paper

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Important Dates


Early Bird Registration

26th Aug 2026

Paper Submission Deadline

31st August 2026

Registration Deadline

10th September 2026

Conference Date

25th - 26th Sep 2026

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    Early-bird registration for the Science Cite Conference in Washington DC ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Washington DC conference.
  • Peer Review Process:
    The peer review process will begin soon for Washington DC conference.
  • Networking with Global Experts:
    Join global experts at our conference in Washington DC.
  • 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 ICAMSB 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 Systems Biology, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI models for systems biology analysis
  • Computational approaches in systems biology
  • Integration of AI in biological modeling
  • Data-driven systems biology frameworks
  • Machine learning for pathway analysis
  • AI in cellular network modeling
  • Predictive models for biological systems
  • Systems biology and AI collaboration
  • Challenges in modeling complex biological systems
  • AI-enhanced simulations in systems biology
  • Applications of AI in metabolic networks
  • Data integration for systems biology studies
  • AI-driven hypothesis generation in biology
  • Systems biology approaches to drug discovery
  • Ethics in AI systems biology research
  • Future directions in AI and systems biology
  • Real-time analysis in systems biology
  • AI techniques for gene regulatory networks
  • Collaborative systems biology projects
  • Case studies in AI and systems biology

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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