International Conference on AI and Big Data in Biomedical Engineering
(ICABDBE-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on AI and Big Data in Biomedical Engineering (ICABDBE), scheduled to be held on 22nd November 2026 in Ahmedabad, 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 Biomedical Applications
    This track will explore the latest developments in machine learning techniques specifically tailored for biomedical engineering. Emphasis will be placed on innovative algorithms that enhance diagnostic accuracy and treatment personalization. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Big Data Analytics in Genomics and Proteomics
    This session focuses on the application of big data analytics in genomics and proteomics research. Participants will discuss methodologies for managing and interpreting vast datasets to uncover biological insights. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Bioinformatics Tools for Functional Genomics
    This track will highlight cutting-edge bioinformatics tools that facilitate functional genomics studies. Presentations will cover software and methodologies that enable the analysis of gene functions and interactions. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Predictive Analytics in Biomedical Research
    This session will delve into the role of predictive analytics in advancing biomedical research. Attendees will examine case studies where predictive models have successfully forecasted disease outcomes and treatment responses. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 05 – Computational Biology: Bridging Data and Biology
    This track will address the intersection of computational biology and data science in understanding complex biological systems. Discussions will focus on computational models that simulate biological processes and their implications for research. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Systems Biology Approaches to Disease Mechanisms
    This session will explore systems biology methodologies used to dissect disease mechanisms at a systems level. Presenters will share insights on integrating multi-omics data to build comprehensive disease models. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Workflow Automation in Biomedical Research
    This track will examine the impact of workflow automation on efficiency and reproducibility in biomedical research. Participants will discuss tools and platforms that streamline data processing and analysis. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 08 – Biomarker Discovery through AI and Data Science
    This session will focus on the application of AI and data science techniques in biomarker discovery. Researchers will present novel approaches to identify and validate biomarkers for various diseases. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Ethical Considerations in AI and Big Data in Healthcare
    This track will address the ethical implications of utilizing AI and big data in healthcare settings. Discussions will revolve around data privacy, consent, and the responsible use of AI technologies. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 10 – Integration of AI in Biomedical Informatics
    This session will explore the integration of artificial intelligence into biomedical informatics systems. Presentations will highlight how AI can enhance data management, patient care, and clinical decision-making. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Emerging Trends in Biomedical Engineering and AI
    This track will provide insights into emerging trends at the intersection of biomedical engineering and artificial intelligence. Participants will discuss future directions and potential breakthroughs in the field. 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 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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