Call For Papers
The ICAIDSCB 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 computational biology
- AI applications in biological data analysis
- Statistical models for biological data interpretation
- Machine learning in genomics and proteomics
- Computational methods for systems biology
- AI-driven approaches for disease modeling
- Bioinformatics tools for data visualization
- Integration of AI in clinical research
- Predictive analytics in personalized medicine
- Data mining in biological databases
- AI for understanding complex biological systems
- Ethical issues in computational biology
- AI applications in evolutionary biology
- Real-world applications of data science
- Collaborative research in computational biology
- Future trends in AI and data science
- AI for drug repurposing and discovery
- Computational tools for microbiome analysis
- AI in environmental and ecological studies
- Case studies in AI and computational 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.