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E. Haydn Walters
University of Tasmania
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
Machine Learning Provides a Novel Approach to Increasing the Accuracy and Applicability of Circulatory Biomarkers in the Management of Idiopathic Pulmonary Fibrosis
Number of pages: 35
Posted: 23 Jul 2024
Dino Bee Aik Tan
,
Fedja Hadzic
,
Maya Krayneva
,
Roger M. Li
,
Chantalia Tedja
,
Maike Stentenbach
,
Tamera J. Corte
, E. Haydn Walters,
Ayodeji Adegunsoye
,
Justin Oldham
,
Angela L. Linderholm
,
Gisli Jenkins
,
Paul N. Reynolds
,
Ian N. Glaspole
,
Nicole S. Goh
,
Line Egerod
,
Jannie Marie Bülow Sand
and
Yuben Moodley
The University of Western Australia - Institute of Respiratory Health, September AI Labs, September AI Labs, The University of Western Australia - Institute of Respiratory Health, The University of Western Australia - Institute of Respiratory Health, The University of Western Australia - Institute of Respiratory Health, The University of Sydney - Royal Prince Alfred Hospital, University of Tasmania, University of Chicago, University of Michigan at Ann Arbor, University of California, Davis, Imperial College London - National Heart and Lung Institute, University of Adelaide, Council Centre of Research Excellence in Pulmonary Fibrosis, Council Centre of Research Excellence in Pulmonary Fibrosis, Nordic Bioscience, Nordic Bioscience and The University of Western Australia - Institute of Respiratory Health
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Abstract:
idiopathic pulmonary fibrosis, biomarkers, machine learning, disease progression
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