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Technological advances in the search for a CURE for asthma.
Med. J. Aust. 223, S36-S41 (2025)
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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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Review
Schlagwörter
Artificial Intelligence ; Asthma ; Biomarkers ; Molecular Biology ; Proteomics; Epidemiology
ISSN (print) / ISBN
0025-729X
e-ISSN
1326-5377
Zeitschrift
Medical Journal of Australia
Quellenangaben
Band: 223,
Heft: S10,
Seiten: S36-S41
Verlag
Wiley
Verlagsort
111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)
Förderungen
ENA Respiratory Pty Ltd
Stafford Fox Medical Research Foundation
Australian Research Council
National Health and Medical Research Council
Stafford Fox Medical Research Foundation
Australian Research Council
National Health and Medical Research Council