Call For Papers

The ICDSNB 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
Data science techniques in network biology
02
AI applications in biological networks
03
Computational methods for network analysis
04
Integrative approaches to network biology
05
Machine learning for network prediction
06
Visualization of biological networks
07
Challenges in network biology data
08
AI-driven insights from biological networks
09
Data integration in network biology studies
10
Predictive modeling of biological interactions
11
Network-based approaches to disease research
12
Ethics in network biology research
13
Future trends in network biology analysis
14
Collaborative tools for network biology
15
AI-enhanced network reconstruction methods
16
Case studies in network biology applications
17
Real-time network analysis techniques
18
Data-driven discoveries in network biology
19
AI for multi-omics network integration
20
Applications of data science in network 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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