Cytokine profiles as predictive biomarkers of disease severity and progression in engineered stone silicosis: A machine learning approach
2025
Diagnostics
https://doi.org/10.3390/diagnostics15182413
Auteurs
Daniel Sanchez-Morillo, Ana Martín-Carrillo, Blanca Priego-Torres, Iris Sopo-Lambea, Gema Jiménez-Gómez, Antonio León-Jiménez, Antonio Campos-Caro
Lieu de l'étude (pays)
- Spain
Indications
- Occupational & Environmental Exposures
Produits ndd mentionnés dans cette publication

EasyOne Pro
DLCO portable, volumes pulmonaires et spirométrie
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