Hybrid Conference (In Person / Virtual)

International Conference on AI Models in Systems Biology (ICAMSB - 27)
31st - 1st June 2027 , Natal, Brazil
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Natal. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Natal conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Natal and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICAMSB provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Artificial Intelligence, Data Science, Bioinformatics, encouraging participation from emerging researchers and fostering academic growth.

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

01
AI models for systems biology analysis
02
Computational approaches in systems biology
03
Integration of AI in biological modeling
04
Data-driven systems biology frameworks
05
Machine learning for pathway analysis
06
AI in cellular network modeling
07
Predictive models for biological systems
08
Systems biology and AI collaboration
09
Challenges in modeling complex biological systems
10
AI-enhanced simulations in systems biology
11
Applications of AI in metabolic networks
12
Data integration for systems biology studies
13
AI-driven hypothesis generation in biology
14
Systems biology approaches to drug discovery
15
Ethics in AI systems biology research
16
Future directions in AI and systems biology
17
Real-time analysis in systems biology
18
AI techniques for gene regulatory networks
19
Collaborative systems biology projects
20
Case studies in AI and systems biology

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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