Call For Papers
The ICDSNB 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:
- Data science techniques in network biology
- AI applications in biological networks
- Computational methods for network analysis
- Integrative approaches to network biology
- Machine learning for network prediction
- Visualization of biological networks
- Challenges in network biology data
- AI-driven insights from biological networks
- Data integration in network biology studies
- Predictive modeling of biological interactions
- Network-based approaches to disease research
- Ethics in network biology research
- Future trends in network biology analysis
- Collaborative tools for network biology
- AI-enhanced network reconstruction methods
- Case studies in network biology applications
- Real-time network analysis techniques
- Data-driven discoveries in network biology
- AI for multi-omics network integration
- Applications of data science in network 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.