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Hybrid Event

14th - 15th July 2026 | Kowloon City, Hong Kong

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICAMSB) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Artificial Intelligence,Data Science,Bioinformatics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.