Call For Papers

The ICAIDSCB 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 computational biology
02
AI applications in biological data analysis
03
Statistical models for biological data interpretation
04
Machine learning in genomics and proteomics
05
Computational methods for systems biology
06
AI-driven approaches for disease modeling
07
Bioinformatics tools for data visualization
08
Integration of AI in clinical research
09
Predictive analytics in personalized medicine
10
Data mining in biological databases
11
AI for understanding complex biological systems
12
Ethical issues in computational biology
13
AI applications in evolutionary biology
14
Real-world applications of data science
15
Collaborative research in computational biology
16
Future trends in AI and data science
17
AI for drug repurposing and discovery
18
Computational tools for microbiome analysis
19
AI in environmental and ecological studies
20
Case studies in AI and computational 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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