International Conference on AI-driven Data Science in Genomics ICIADSG

Call For Papers

The ICIADSG 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, Machine Learning , encouraging applied research, case studies, and industry-driven innovations.

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

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.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event