Call For Papers
The ICIADSG 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, Machine Learning, 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:
- 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
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.