Combination of exhaled volatile organic compounds with serum biomarkers predicts respiratory infection severity

Combination of exhaled volatile organic compounds with serum biomarkers predicts respiratory infection severity

Objective During respiratory infections, host-pathogen interaction alters metabolism, leading to changes in the composition of expired volatile organic compounds (VOCs) and soluble immunomodulators. This study aims to identify VOC and blood biomarker signatures to develop machine learning-based prog...

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Bibliographic Details
Main Authors: Patricia Esteban, Santiago Letona-Gimenez, Maria Pilar Domingo, Elena Morte, Galadriel Pellejero-Sagastizabal, Maria Del Mar Encabo, Ariel Ramírez-Labrada, Rebeca Sanz-Pamplona, Julián Pardo, José Ramón Paño, Eva M. Galvez
Format: Article
Language:English
Published: Taylor & Francis 2025-12-01
Series:Pulmonology
Subjects:
Machine learning
respiratory infections
volatile organic compounds
serum biomarkers
severity prediction
Online Access:https://www.tandfonline.com/doi/10.1080/25310429.2025.2477911
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