International Conference on AI and Big Data for Bioinformatics Applications
(ICABDBA-26)

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

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Conference Session Tracks

The International Conference on AI and Big Data for Bioinformatics Applications (ICABDBA), scheduled to be held on 22nd November 2026 in Guwahati, 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 for Genomic Data Analysis
    This track focuses on the application of artificial intelligence techniques to enhance the analysis of genomic data. Participants will explore innovative algorithms and methodologies that improve genomic interpretation and personalized medicine. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Data Science Approaches in Proteomics
    This session will delve into the integration of data science methodologies in the field of proteomics. Discussions will center on the challenges and solutions in analyzing complex protein data sets. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Computational Biology: Tools and Techniques
    This track highlights the latest tools and techniques in computational biology that leverage big data. Attendees will learn about software and frameworks that facilitate biological data analysis. 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 examine the role of predictive analytics in advancing biomedical research. Researchers will present case studies demonstrating how predictive models can inform clinical decisions and research directions. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 05 – Workflow Automation in Bioinformatics
    This track addresses the importance of workflow automation in bioinformatics applications. Participants will discuss strategies for streamlining data processing and analysis to enhance research efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 06 – Biomarker Discovery through Data Mining
    This session focuses on the use of data mining techniques for biomarker discovery in various diseases. Researchers will share insights on identifying novel biomarkers that can lead to improved diagnostics and therapeutics. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Systems Biology and Integrative Data Analysis
    This track explores the integration of diverse biological data types within systems biology frameworks. Presentations will highlight methodologies for synthesizing data to understand complex biological systems. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – AI-Driven Drug Discovery Innovations
    This session will showcase innovative applications of AI in the drug discovery process. Attendees will learn about cutting-edge technologies that accelerate the identification of potential therapeutic compounds. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Functional Genomics and Machine Learning
    This track investigates the intersection of functional genomics and machine learning techniques. Participants will discuss how machine learning can enhance the understanding of gene function and regulation. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 10 – Big Data Challenges in Biomedical Informatics
    This session addresses the challenges posed by big data in the field of biomedical informatics. Experts will discuss strategies for managing, analyzing, and interpreting large-scale biomedical data sets. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Ethical Considerations in AI and Big Data Applications
    This track will explore the ethical implications of employing AI and big data in bioinformatics. Discussions will focus on data privacy, consent, and the responsible use of AI technologies in healthcare. 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 11 SDG 11
    Sustainable Cities and Communities
  • SDG 16 SDG 16
    Peace, Justice and Strong Institutions

Need Assistance?

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