International Conference on Data Mining and Bioinformatics
(ICDMB-26)

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

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Data Mining and Bioinformatics (ICDMB), scheduled to be held on 22nd November 2026 in Trivandrum, 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 applied to bioinformatics challenges. Participants will explore innovative algorithms that enhance genomic and proteomic data analysis. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Data Mining Techniques in Biomedical Research
    This session will delve into the application of data mining methodologies in biomedical research. Attendees will discuss case studies showcasing the extraction of meaningful insights from complex biological datasets. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – AI-Driven Approaches in Drug Discovery
    This track highlights the role of artificial intelligence in accelerating drug discovery processes. Experts will present novel AI models that predict drug interactions and optimize compound selection. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Predictive Analytics in Genomics
    This session emphasizes the use of predictive analytics in genomics research. Participants will examine how predictive models can identify genetic markers associated with diseases. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Big Data Analytics in Systems Biology
    This track explores the integration of big data analytics within systems biology frameworks. Discussions will focus on methodologies that facilitate the analysis of large-scale biological data. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 06 – Computational Biology: Challenges and Innovations
    This session addresses the current challenges faced in computational biology and the innovative solutions being developed. Researchers will share their findings on new computational tools and techniques. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 07 – Bioinformatics Workflows for High-Throughput Data
    This track focuses on the design and implementation of bioinformatics workflows tailored for high-throughput data analysis. Participants will discuss best practices and tools that streamline data processing. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Machine Learning Applications in Proteomics
    This session highlights the application of machine learning in the field of proteomics. Attendees will explore how these techniques can enhance protein identification and quantification. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Biomarker Discovery through Data Science
    This track investigates the role of data science in the discovery of biomarkers for various diseases. Presentations will cover methodologies that leverage large datasets to identify potential biomarkers. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Ethical Considerations in AI and Data Mining
    This session addresses the ethical implications of using AI and data mining in biomedical research. Experts will discuss the importance of responsible data usage and the impact on patient privacy. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Integrative Approaches in Computational Genomics
    This track focuses on integrative methodologies that combine various computational techniques in genomics. Participants will explore case studies that demonstrate the power of interdisciplinary approaches. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
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

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