Call For Papers
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:
- 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 assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.