International Conference on AI and Computational Genomics
(ICAICG-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on AI and Computational Genomics (ICAICG), scheduled to be held on 22nd November 2026 in Pondicherry, 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-Driven Genomic Data Analysis
    This track focuses on the application of artificial intelligence techniques in the analysis of genomic data. Participants will explore innovative methodologies for interpreting complex genomic datasets to enhance understanding of genetic variations. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Machine Learning in Proteomics
    This session will delve into the integration of machine learning algorithms in the field of proteomics. Discussions will center on predictive models that facilitate protein identification and characterization. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Bioinformatics Tools for Genomic Research
    This track aims to showcase cutting-edge bioinformatics tools and software that support genomic research. Presentations will highlight advancements in computational methods for genomic data processing and analysis. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Systems Biology and AI Integration
    This session will explore the intersection of systems biology and artificial intelligence. Participants will discuss how AI can enhance the modeling of biological systems and improve our understanding of complex interactions. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 05 – Predictive Analytics in Biomedical Informatics
    This track will focus on the role of predictive analytics in biomedical informatics. Researchers will present studies that utilize data-driven approaches to forecast health outcomes and disease progression. 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 address the automation of workflows in genomic research through AI and data science techniques. Attendees will learn about tools and strategies that streamline data processing and analysis. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 07 – Biomarker Discovery Using AI
    This track will highlight the use of artificial intelligence in the discovery of novel biomarkers for disease diagnosis and treatment. Presentations will cover methodologies that enhance the identification and validation of biomarkers. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Functional Genomics and Machine Learning
    This session will explore the application of machine learning in functional genomics. Participants will discuss how AI techniques can be employed to decipher gene functions and regulatory mechanisms. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Protein Structure Prediction Techniques
    This track will focus on innovative approaches to protein structure prediction using computational methods. Researchers will present advancements in algorithms that improve the accuracy of structural predictions. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – AI in Drug Discovery Processes
    This session will examine the transformative impact of AI on drug discovery processes. Discussions will include case studies showcasing AI-driven approaches to identify potential drug candidates. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Ethical Considerations in AI and Genomics
    This track will address the ethical implications of integrating AI in genomics research. Participants will engage in discussions about data privacy, consent, and the societal impact of genomic technologies. Aligned SDGs: SDG 10 – Reduced Inequalities  |  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 10 SDG 10
    Reduced Inequalities
  • 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:

Email: [email protected]

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