Systems Immunology: Data, Models, and Personalized Medicine
Received Date: Jul 01, 2025 / Accepted Date: Jul 29, 2025 / Published Date: Jul 29, 2025
Abstract
Systems immunology integrates diverse data and computational approaches to dissect immune interactions, identify emergent
properties, and predict immune states. Single-cell technologies and network-based methods provide high resolution and map complex
interactions. Multi-omics data integration and computational modeling, including machine learning, are crucial for analyzing large
datasets and developing predictive models. Key research areas include the microbiome-immune system nexus, immune memory,
and immune dysregulation in autoimmune diseases. This field drives personalized medicine by predicting therapeutic responses and
aims to develop targeted interventions.
Keywords:
Citation: Petrovic DM (2025) Systems Immunology: Data, Models, and Personalized Medicine. Immunol Curr Res 09: 273. Doi: 10.4172/icr.1000273
Copyright: © 2025 Dr. Marko Petrovic This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permitsunrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Select your language of interest to view the total content in your interested language
Share This Article
Recommended Journals
Open Access Journals
Article Tools
Article Usage
- Total views: 86
- [From(publication date): 0-0 - Apr 05, 2026]
- Breakdown by view type
- HTML page views: 59
- PDF downloads: 27
