Related Experiment Video
Updated: Jul 3, 2026
07:30
Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
Published on: June 15, 2019
Hyper-inflammation and immunosuppression: redefining sepsis therapy using modern approaches.
Mili Prajapati1, Vaishnavi Singh1, Akash Mishra1
1Department of Life Science, Parul Institute of Applied Science, Faculty of Applied Sciences, Parul University, Vadodara, India.
Frontiers in Pharmacology
|July 2, 2026
Summary
Sepsis management is challenged by patient heterogeneity. Precision medicine and Artificial Intelligence (AI)/Machine Learning (ML) offer improved diagnosis, risk stratification, and targeted treatments to reduce sepsis mortality.
Area of Science:
- Critical care medicine
- Immunology
- Computational biology
Background:
- Sepsis is a life-threatening global health issue causing organ dysfunction and mortality due to hyperinflammation and immunosuppression.
- In 2021, sepsis affected approximately 166 million individuals globally, resulting in 21.4 million deaths.
Purpose of the Study:
- To review sepsis epidemiology, pathophysiology, and current therapeutic challenges.
- To assess the role of precision medicine and AI/ML in transforming sepsis treatment.
Main Methods:
- A comprehensive literature search was conducted across PubMed, Web of Science, and Scopus.
- The review focused on hyperinflammation, immunosuppression, current therapies, and future advancements in sepsis management.
Main Results:
- Current sepsis therapies are limited by patient heterogeneity and lack of immune status-based selection.
- Precision medicine utilizing genotypes and multi-omics biomarkers shows promise for risk stratification and treatment guidance.
- AI/ML models enhance predictive accuracy and enable early diagnosis and risk stratification in sepsis.
Conclusions:
- Integrating AI/ML and precision medicine can significantly reduce sepsis mortality by enabling targeted immunomodulatory treatments.
- These advancements align with Sustainable Development Goal 3 for improved global health outcomes.
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