International Conference on AI-Driven Genomic Data Analysis
(ICAIGDA-26)

22nd November 2026 || Bhopal - India || Hybrid Mode

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Conference Session Tracks

The International Conference on AI-Driven Genomic Data Analysis (ICAIGDA), scheduled to be held on 22nd November 2026 in Bhopal, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Artificial Intelligence,Data Science,Bioinformatics.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – AI Techniques in Genomic Data Analysis
    This track focuses on the application of artificial intelligence methodologies in the analysis of genomic data. It aims to explore novel algorithms and frameworks that enhance the interpretation of complex genomic information. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Machine Learning in Bioinformatics
    This session will delve into the integration of machine learning techniques within bioinformatics. Participants will discuss innovative approaches to leverage machine learning for genomic data interpretation and biomarker discovery. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Big Data Analytics in Genomics
    This track addresses the challenges and solutions associated with big data analytics in the field of genomics. It will highlight cutting-edge tools and technologies that facilitate the management and analysis of large genomic datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 04 – Predictive Modeling in Personalized Medicine
    This session will explore the role of predictive modeling in advancing personalized medicine. Discussions will center on how AI-driven models can enhance patient outcomes through tailored therapeutic strategies. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 05 – Computational Biology and Systems Biology
    This track focuses on the intersection of computational biology and systems biology in understanding genomic data. It will highlight the use of computational tools to model biological systems and their interactions. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Workflow Automation in Genomic Research
    This session will examine the automation of workflows in genomic research through AI and data science. Emphasis will be placed on improving efficiency and reproducibility in genomic data analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 07 – Functional Genomics and AI Integration
    This track will investigate the integration of AI techniques in functional genomics research. Participants will discuss how AI can enhance the understanding of gene functions and regulatory mechanisms. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Proteomics and AI-Driven Insights
    This session will focus on the application of AI in proteomics to uncover insights from protein data. It aims to explore how AI can facilitate protein structure prediction and functional analysis. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Biomedical Informatics and Genomic Data
    This track will address the role of biomedical informatics in managing and analyzing genomic data. Discussions will focus on the development of informatics tools that support genomic research and clinical applications. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – AI for Biomarker Discovery
    This session will explore the use of AI technologies in the discovery of novel biomarkers for disease diagnosis and treatment. Participants will share insights on how AI can streamline the biomarker identification process. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 11 – Ethical Considerations in AI-Driven Genomics
    This track will discuss the ethical implications of using AI in genomic research and data analysis. It aims to foster dialogue on responsible practices and the societal impact of AI-driven genomic advancements. Aligned SDGs: SDG 4 – Quality Education  |  SDG 16 – Peace, Justice and Strong Institutions
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 4 SDG 4
    Quality Education
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

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