e-Lung CT biomarker stratifies patients at risk of IPF progression in a 52-week clinical trial
Author(s)
Type
Journal Article
Date Issued
2024-05-01
Date Acceptance
2024-02-15
Citation
American Journal of Respiratory and Critical Care Medicine, 2024, 209 (9), pp.1168-1169
ISSN
1073-449X
Publisher
American Thoracic Society
Start Page
1168
End Page
1169
Journal / Book Title
American Journal of Respiratory and Critical Care Medicine
Volume
209
Issue
9
Copyright Statement
Copyright © 2024 by the American Thoracic Society This article is open access and distributed under the terms of the Creative Commons Attribution
Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-ncnd/4.0/). For commercial usage and reprints please contact Diane Gern (dgern@thoracic.org).
Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-ncnd/4.0/). For commercial usage and reprints please contact Diane Gern (dgern@thoracic.org).
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38363798
Subjects
Artificial Intelligence
Biomarkers
Clinical trials
CT
Idiopathic pulmonary fibrosis
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2024-02-16