A robust mRNA signature obtained via recursive ensemble feature selection predicts the responsiveness of omalizumab in moderate‐to‐severe asthma

A robust mRNA signature obtained via recursive ensemble feature selection predicts the responsiveness of omalizumab in moderate‐to‐severe asthma

Abstract Background Not being well controlled by therapy with inhaled corticosteroids and long‐acting β2 agonist bronchodilators is a major concern for severe‐asthma patients. The current treatment option for these patients is the use of biologicals such as anti‐IgE treatment, omalizumab, as an add‐...

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Bibliographic Details
Main Authors: Sarah Kidwai, Pietro Barbiero, Irma Meijerman, Alberto Tonda, Paula Perez‐Pardo, Pietro Lio ́, Anke H. van derMaitland‐Zee, Daniel L. Oberski, Aletta D. Kraneveld, Alejandro Lopez‐Rincon
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Clinical and Translational Allergy
Subjects:
anti‐IgE
asthma
biomarker
machine‐learning
omalizumab
Online Access:https://doi.org/10.1002/clt2.12306

Internet

https://doi.org/10.1002/clt2.12306

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