Call For Papers

The ICAICB 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 applications in computational biology
02
Machine learning for biological modeling
03
AI-driven simulations in biology
04
Computational methods for protein structure
05
AI for understanding biological networks
06
Data-driven approaches in computational biology
07
AI in systems biology research
08
Machine learning for metabolic network analysis
09
AI-enhanced biological data processing
10
Computational tools for genomic analysis
11
AI for evolutionary biology studies
12
Ethical considerations in computational biology
13
AI in drug discovery and development
14
Computational methods for gene regulation
15
AI applications in microbiome research
16
Data integration in computational biology
17
AI for structural biology insights
18
Future of AI in computational biology
19
Collaborative research in computational biology
20
AI-driven insights in biological research

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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