International Conference on Computational Modeling in Healthcare and Life Sciences
(ICCMHLS-26)

6th December 2026 || Lucknow - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Computational Modeling in Healthcare and Life Sciences (ICCMHLS), scheduled to be held on 6th December 2026 in Lucknow, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Computational 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 – Mathematical Models in Healthcare
    This track focuses on the development and application of mathematical models to understand complex healthcare systems. Emphasis will be placed on innovative modeling approaches that enhance decision-making in clinical settings. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Statistical Methods in Life Sciences
    This session will explore advanced statistical techniques employed in life sciences research. Topics will include experimental design, hypothesis testing, and the analysis of high-dimensional data. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Computational Methods in Bioinformatics
    This track will highlight computational techniques used in bioinformatics for analyzing biological data. Participants will discuss algorithms for sequence alignment, gene expression analysis, and protein structure prediction. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Machine Learning Applications in Healthcare
    This session will cover the application of machine learning techniques to solve healthcare-related problems. Case studies will illustrate the potential of predictive analytics in patient outcomes and treatment optimization. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 05 – Simulation Techniques in Life Sciences
    This track will delve into simulation methodologies used to model biological processes and healthcare systems. Participants will share insights on discrete event simulation, agent-based modeling, and system dynamics. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 06 – Optimization Algorithms in Healthcare
    This session will focus on optimization algorithms and their application in healthcare settings. Discussions will include resource allocation, scheduling, and operational efficiency in medical facilities. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Data Science Innovations in Life Sciences
    This track will explore the intersection of data science and life sciences, emphasizing novel approaches to data analysis and interpretation. Participants will discuss big data challenges and solutions in genomic research. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Artificial Intelligence in Biomedical Research
    This session will investigate the role of artificial intelligence in advancing biomedical research. Topics will include AI-driven drug discovery, personalized medicine, and the ethical implications of AI in healthcare. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 09 – Statistical Modeling for Genomics and Proteomics
    This track will focus on statistical modeling techniques specifically tailored for genomics and proteomics data analysis. Participants will discuss methods for handling high-throughput data and deriving biological insights. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Quantitative Methods in Systems Biology
    This session will explore quantitative approaches used in systems biology to understand complex biological networks. Emphasis will be placed on integrative modeling and the analysis of multi-omics data. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Applied Mathematics in Healthcare Solutions
    This track will highlight the application of applied mathematics to address real-world healthcare challenges. Participants will present case studies demonstrating the impact of mathematical approaches on health outcomes. 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

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