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Updated: Aug 8, 2026
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A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Data-intensive immune network modelling for One Health
Richard Hillis1,2, Nadya B A Johari1, Masoud Shirali2,3
1Johnston Cancer Research Centre, Queen's University Belfast, Belfast, UK.
Briefings in Bioinformatics
|August 6, 2026
Summary
Bioinformatics is crucial for understanding the immune system
Area of Science:
- Immunology and Bioinformatics
- Computational Biology
- One Health Approach
Background:
- The immune system is vital for health, impacting infectious diseases, cancer, and autoimmune disorders in humans and animals.
- Pathogen transmission highlights the interconnectedness of immune health across species, necessitating a One Health approach.
- Immune systems involve complex multiscale networks requiring data-intensive computational methods for accurate modeling.
Purpose of the Study:
- To review cutting-edge bioinformatics techniques for studying immune function in human and animal health.
- To emphasize the application of computational methods in understanding immune system complexities.
- To explore how bioinformatics can improve health and food systems.
Main Methods:
- Genetics
- Transcriptomics
- Single-cell analysis
- Network biology
- Machine learning
Main Results:
- Data-intensive approaches are essential for modeling complex immune processes.
- Bioinformatics applications provide insights into immune function across various health conditions.
- Computational techniques illuminate the link between genetic variation and disease phenotypes.
Conclusions:
- Bioinformatics is indispensable for deciphering immune system function in diverse contexts.
- Advanced computational and physical techniques are driving advancements in immune research.
- Understanding context-specific immune biology through data-intensive methods can improve health outcomes and food systems.
