International Conference on Data Science and AI in Bioinformatics Education
(ICDSAIBE-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Data Science and AI in Bioinformatics Education (ICDSAIBE), scheduled to be held on 22nd November 2026 in Kolkata, 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 Machine Learning for Bioinformatics
    This track focuses on the latest machine learning techniques and their applications in bioinformatics. Researchers are encouraged to present innovative algorithms that enhance data analysis and interpretation in biological contexts. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Data Science Approaches in Genomics and Proteomics
    This session will explore the integration of data science methodologies in genomics and proteomics research. Contributions should highlight novel data-driven insights that advance our understanding of genetic and protein functions. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Artificial Intelligence in Drug Discovery
    This track examines the role of artificial intelligence in streamlining the drug discovery process. Papers should discuss AI-driven models that facilitate the identification of potential drug candidates and optimize therapeutic strategies. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Computational Biology: Tools and Techniques
    This session aims to showcase cutting-edge computational tools and techniques that support biological research. Submissions should demonstrate how these tools enhance data analysis, visualization, and interpretation in biological studies. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Predictive Analytics in Biomedical Research
    This track focuses on the application of predictive analytics in various biomedical research domains. Researchers are invited to present studies that utilize predictive models to forecast biological outcomes and inform decision-making. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Functional Genomics: Insights and Innovations
    This session will highlight recent advancements in functional genomics and their implications for understanding gene function. Contributions should emphasize innovative experimental and computational approaches that elucidate gene interactions and pathways. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 07 – Systems Biology: Integrative Approaches
    This track explores integrative systems biology approaches that combine experimental and computational methods. Papers should focus on how these approaches contribute to a holistic understanding of biological systems and processes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Biomarker Discovery and Validation
    This session is dedicated to the discovery and validation of biomarkers using data science techniques. Researchers are encouraged to present novel methodologies and case studies that demonstrate the clinical relevance of identified biomarkers. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Workflow Automation in Bioinformatics
    This track addresses the automation of workflows in bioinformatics to enhance efficiency and reproducibility. Contributions should showcase tools and frameworks that facilitate automated data processing and analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 10 – Protein Structure Prediction: Challenges and Solutions
    This session focuses on the challenges associated with protein structure prediction and the innovative solutions being developed. Researchers are invited to discuss advancements in algorithms and computational techniques that improve prediction accuracy. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 11 – Biomedical Informatics: Bridging Data and Healthcare
    This track examines the intersection of biomedical informatics and healthcare, emphasizing the role of data science in improving patient outcomes. Papers should highlight case studies and applications that demonstrate the impact of informatics on clinical practice. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
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

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]

Phone: +91 9677007228