Technological advances in the search for a <scp>CURE</scp> for asthma

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 Details

Journal
The Medical Journal of Australia
Published
2025-11-16
DOI
https://doi.org/10.5694/mja2.70084
Primary Topic
Asthma and respiratory diseases
Type
article
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article

Technological advances in the search for a CURE for asthma

Rhys S. Allan, Gary P. Anderson, Alen Faiz, Nicholas P. West et al.
The Medical Journal of Australia
Asthma and respiratory diseases
article

Technological advances in the search for a CURE for asthma

Rhys S. Allan, Gary P. Anderson, Alen Faiz, Nicholas P. West, Michael P. Menden, Timothy M. Johanson, Anthony Flynn, Ridhima Wadhwa, Sara Quon, Amanda J. Cox
article en

Abstract

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.

The Medical Journal of AustraliaVol. 223(S10)
University of Technology Sydney (AU), Griffith University (AU), Biotechnology Institute (US), The University of Melbourne (AU), Walter and Eliza Hall Institute of Medical Research (AU), Helmholtz Zentrum München (DE), Menzies School of Health Research (AU), Asthma UK (GB), Gold Coast Health (AU)
Openalex Percentile: Top 57%
Asthma and respiratory diseases
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