International Conference on AI in Transcriptomics and Bioinformatics
(ICAITB-26)

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

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Conference Session Tracks

The International Conference on AI in Transcriptomics and Bioinformatics (ICAITB), scheduled to be held on 22nd November 2026 in Bangalore, 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 – Advancements in AI-Driven Transcriptomics
    This track will explore the latest methodologies in applying artificial intelligence to transcriptomic data analysis. Emphasis will be placed on innovative algorithms that enhance the understanding of gene expression patterns. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Machine Learning Techniques in Genomics
    This session will focus on the integration of machine learning approaches in genomic research. Participants will discuss applications ranging from variant calling to genome-wide association studies. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Bioinformatics Tools for Proteomics Analysis
    This track will highlight the development and application of bioinformatics tools specifically designed for proteomics. Discussions will include data integration, protein identification, and quantification techniques. 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 delve into the intersection of systems biology and artificial intelligence. Researchers will present case studies demonstrating how AI can model complex biological systems and predict outcomes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Predictive Analytics in Biomedical Research
    This track will cover the role of predictive analytics in advancing biomedical research. Topics will include the use of AI to forecast disease progression and treatment responses. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Workflow Automation in Bioinformatics
    This session will examine the automation of bioinformatics workflows through AI and data science. Participants will share insights on improving efficiency and reproducibility in computational biology. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 07 – Functional Genomics and AI Applications
    This track will focus on the application of AI in functional genomics to uncover gene functions and interactions. Researchers will discuss novel approaches to analyze high-throughput data. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Biomedical Informatics and Data Science Innovations
    This session will explore cutting-edge innovations in biomedical informatics driven by data science. Emphasis will be placed on data integration, analysis, and visualization techniques. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Protein Structure Prediction Using AI
    This track will address advancements in protein structure prediction facilitated by artificial intelligence. Participants will discuss algorithms and models that enhance accuracy and efficiency in structural biology. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Biomarker Discovery through Machine Learning
    This session will focus on the application of machine learning techniques in the discovery of novel biomarkers. Researchers will present case studies highlighting successful identification and validation processes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Ethical Considerations in AI and Bioinformatics
    This track will engage participants in discussions about the ethical implications of using AI in bioinformatics research. Topics will include data privacy, algorithmic bias, and responsible AI deployment. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions  |  SDG 17 – Partnerships for the Goals
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
  • SDG 17 SDG 17
    Partnerships for the Goals

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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