Hybrid Conferencee

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

9th - 10th July 2026 | Brussels, Belgium
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Brussels. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Brussels event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Brussels conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Brussels, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Brussels."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAMSB aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Artificial Intelligence,Data Science,Bioinformatics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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