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Quon, S.* ; Johanson, T.M.* ; Wadhwa, R.* ; Faiz, A.* ; Flynn, A.* ; Anderson, G.P.* ; Cox, A.J.* ; West, N.P.* ; Menden, M.P. ; Allan, R.S.*

Technological advances in the search for a CURE for asthma.

Med. J. Aust. 223, S36-S41 (2025)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Asthma is a chronic respiratory disease that affects more than 250 million people. It is a heterogeneous disease with a variety of symptoms, severity, and underlying mechanisms. Long term remission has been achieved for small subgroups of people with asthma treated with targeted biologic therapy. Accurately defining asthma subgroups is therefore of upmost importance for further reducing the prevalence of asthma. The rapid rise in technologies that enable profiling of a spectrum of analytes provides the opportunity to accurately classify asthma subtypes and to elucidate the underlying causes of disease. Combining these technologies with artificial intelligence will enable more accurate disease prediction, precision diagnoses, and personalised treatments. A major challenge is the prioritisation and effective implementation of these technologies in clinical practice.
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Publication type Article: Journal article
Document type Review
Keywords Artificial Intelligence ; Asthma ; Biomarkers ; Molecular Biology ; Proteomics; Epidemiology
ISSN (print) / ISBN 0025-729X
e-ISSN 1326-5377
Quellenangaben Volume: 223, Issue: S10, Pages: S36-S41 Article Number: , Supplement: ,
Publisher Wiley
Publishing Place 111 River St, Hoboken 07030-5774, Nj Usa
Reviewing status Peer reviewed
Grants ENA Respiratory Pty Ltd
Stafford Fox Medical Research Foundation
Australian Research Council
National Health and Medical Research Council