Asthma phenotypes in childhood

Deliu, Matea, Belgrave, Danielle, Sperrin, Matthew, Buchan, Iain ORCID: 0000-0003-3392-1650 and Custovic, Adnan (2017) Asthma phenotypes in childhood. EXPERT REVIEW OF CLINICAL IMMUNOLOGY, 13 (7). pp. 705-713.

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Abstract

<h4>Introduction</h4>Asthma is no longer thought of as a single disease, but rather a collection of varying symptoms expressing different disease patterns. One of the ongoing challenges is understanding the underlying pathophysiological mechanisms that may be responsible for the varying responses to treatment. Areas Covered: This review provides an overview of our current understanding of the asthma phenotype concept in childhood and describes key findings from both conventional and data-driven methods. Expert Commentary: With the vast amounts of data generated from cohorts, there is hope that we can elucidate distinct pathophysiological mechanisms, or endotypes. In return, this would lead to better patient stratification and disease management, thereby providing true personalised medicine.

Item Type:	Article
Uncontrolled Keywords:	Asthma phenotypes, data-driven methods, endotype, machine learning
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Population Health
Depositing User:	Symplectic Admin
Date Deposited:	23 Feb 2022 10:31
Last Modified:	18 Jan 2023 21:11
DOI:	10.1080/1744666X.2017.1257940
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3149490