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 Artificial Intelligence,Data Science,Bioinformatics , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference 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.



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