International Conference on Deep Learning in Healthcare and Medical Informatics
(ICDLHMI-26)

14th November 2026 || Bangalore - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Deep Learning in Healthcare and Medical Informatics (ICDLHMI), scheduled to be held on 14th November 2026 in Bangalore, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Computational Science,Data Science.

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 Deep Learning Techniques for Healthcare
    This track focuses on the latest developments in deep learning methodologies specifically tailored for healthcare applications. Contributions may include novel architectures, training techniques, and case studies demonstrating effectiveness in clinical settings. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Statistical Methods in Medical Data Analysis
    This session will explore the application of statistical methods in analyzing complex medical datasets. Topics may include hypothesis testing, regression models, and the interpretation of statistical results in a healthcare context. Aligned SDGs: SDG 3 – Good Health and Well-being
  • Track 03 – Predictive Analytics in Patient Care
    This track emphasizes the role of predictive analytics in enhancing patient care through data-driven decision-making. Presentations may cover algorithms and models that predict patient outcomes and optimize treatment plans. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Simulation and Modeling in Biomedical Research
    This session will delve into the use of simulation and modeling techniques in biomedical research. Topics may include computational models that replicate biological processes and their implications for healthcare innovation. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 05 – Big Data Challenges in Healthcare Informatics
    This track addresses the challenges and solutions associated with managing and analyzing big data in healthcare informatics. Discussions will focus on data integration, storage, and the extraction of meaningful insights from large datasets. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 17 – Partnerships for the Goals
  • Track 06 – Neural Networks and Their Applications in Medicine
    This session will highlight the application of neural networks in various medical domains, including diagnostics and treatment planning. Contributions may include innovative uses of deep learning architectures in clinical practice. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Optimization Techniques in Healthcare Systems
    This track explores optimization methods used to improve healthcare delivery and resource allocation. Topics may include algorithmic approaches to enhance operational efficiency in medical settings. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 08 – Computational Biology and Its Impact on Medicine
    This session focuses on the intersection of computational biology and medical research. Presentations may cover bioinformatics tools and techniques that facilitate the understanding of complex biological systems. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Automation in Clinical Data Management
    This track examines the role of automation in the management and analysis of clinical data. Discussions will include tools and technologies that streamline data processing and enhance data quality. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Pattern Recognition in Medical Imaging
    This session will focus on pattern recognition techniques applied to medical imaging data. Contributions may include advancements in image analysis algorithms that improve diagnostic accuracy. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 16 – Peace, Justice and Strong Institutions
  • Track 11 – Ethical Considerations in AI and Healthcare
    This track addresses the ethical implications of deploying AI technologies in healthcare settings. Discussions will focus on privacy, bias, and the responsibilities of researchers and practitioners in the field. Aligned SDGs: SDG 3 – Good Health and Well-being  |  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 16 SDG 16
    Peace, Justice and Strong Institutions
  • SDG 17 SDG 17
    Partnerships for the Goals

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