International Conference on Predictive Analytics in Bioinformatics
(ICPABI-26)

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

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Conference Session Tracks

The International Conference on Predictive Analytics in Bioinformatics (ICPABI), scheduled to be held on 22nd November 2026 in Hyderabad, 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, emphasizing their role in data analysis and interpretation. Researchers are invited to present innovative algorithms that enhance predictive modeling in genomics and proteomics. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Data Science Approaches in Genomic Research
    This session explores the integration of data science methodologies in genomic studies, highlighting the importance of big data analytics. Contributions that demonstrate novel data processing techniques and their applications in genomic research are encouraged. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – AI-Driven Drug Discovery and Development
    This track examines the application of artificial intelligence in the drug discovery process, from target identification to lead optimization. Papers that showcase successful case studies or novel AI frameworks in pharmaceutical research are welcome. 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 present cutting-edge computational tools and techniques that facilitate biological data analysis. Researchers are invited to share advancements in software development and algorithmic approaches that support computational biology. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 05 – Systems Biology and Predictive Modeling
    This track delves into systems biology approaches that utilize predictive modeling to understand complex biological systems. Contributions that illustrate the integration of various biological data types to enhance predictive accuracy are encouraged. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Functional Genomics: Insights and Innovations
    This session focuses on functional genomics and its role in elucidating gene function and regulation. Papers that discuss innovative experimental designs or computational analyses in functional genomics are invited. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 07 – Personalized Medicine: Data-Driven Approaches
    This track explores the intersection of personalized medicine and predictive analytics, emphasizing data-driven strategies for individualized treatment plans. Researchers are encouraged to present findings that demonstrate the impact of predictive models on patient outcomes. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Biomarker Discovery Using AI Techniques
    This session highlights the role of artificial intelligence in biomarker discovery, focusing on novel methodologies that enhance identification and validation processes. Contributions that present case studies or theoretical advancements in this area are welcome. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Workflow Automation in Biomedical Research
    This track addresses the automation of workflows in biomedical research, emphasizing the role of data science in streamlining processes. Papers that showcase innovative automation tools or frameworks that improve research efficiency are encouraged. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 10 – Ethics and Challenges in AI for Bioinformatics
    This session examines the ethical considerations and challenges associated with the application of AI in bioinformatics. Contributions that address issues such as data privacy, bias, and the societal implications of AI technologies are invited. Aligned SDGs: SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Integrative Approaches in Bioinformatics Research
    This track focuses on integrative approaches that combine various data types and analytical techniques in bioinformatics research. Researchers are encouraged to present studies that demonstrate the benefits of interdisciplinary collaboration in addressing complex biological questions. 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?

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