Call for Paper
The ICIADSG is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.
With a strong focus on Artificial Intelligence,Data Science,Machine Learning the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- AI applications in genomics data analysis
- Machine learning for genetic variant interpretation
- Data science for personalized medicine in genomics
- AI-driven approaches to drug response prediction
- Predictive analytics for disease risk assessment
- Data privacy challenges in genomic research
- AI for enhancing clinical genomics workflows
- Machine learning in population genomics studies
- AI applications in cancer genomics
- Data visualization techniques for genomic data
- AI for improving genetic counseling practices
- Ethics in genomic data usage and AI
- AI in rare disease research and treatment
- Data-driven approaches to gene therapy development
- AI for optimizing genomic sequencing technologies
- Machine learning for epigenomics analysis
- AI applications in microbiome research
- Data science for evolutionary genomics studies
- AI in pharmacogenomics and personalized therapy
- Future trends in genomic AI research
Peer Review & Quality
All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.
Registration
Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.
Publication
High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.