Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans

Machine Learning-Empowered FTIR Spectroscopy Serum Analysis Stratifies Healthy, Allergic, and SIT-Treated Mice and Humans

The unabated global increase of allergic patients leads to an unmet need for rapid and inexpensive tools for the diagnosis of allergies and for monitoring the outcome of allergen-specific immunotherapy (SIT). In this proof-of-concept study, we investigated the potential of Fourier-Transform Infrared...

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Bibliographic Details
Main Authors: Elke Korb, Murat Bağcıoğlu, Erika Garner-Spitzer, Ursula Wiedermann, Monika Ehling-Schulz, Irma Schabussova
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Biomolecules
Subjects:
FTIR spectroscopy
allergy
specific immunotherapy
allergic airway inflammation
serum
clinical diagnostics
Online Access:https://www.mdpi.com/2218-273X/10/7/1058

Internet

https://www.mdpi.com/2218-273X/10/7/1058

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