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Open Accesshttps://doi.org/10.1136/thorax-2022-219158
Copy DOI Journal: Thorax |  Publication Date: Jun 2, 2023 |
 Citations: 6 |
Affiliation: Columbia University, Institut Polytechnique de Paris, NIHR Imperial Biomedical Research Centre, Laboratoire Traitement et Communication de l’Information, Télécom Paris, Imperial College London, Columbia University Irving Medical Center, Johns Hopkins University, Johns Hopkins Medicine, University of Virginia, University of Sheffield, University of California, Los Angeles, Mayo Clinic, Brigham and Women's Hospital, Harvard University, University of Washington, University of Alabama at Birmingham, University of California, San Francisco, University of Colorado Denver, National Jewish Health, University of Michigan–Ann Arbor, Resonance Research (United States), McGill University Health Centre, University of Arizona, University of Iowa, Cornell University, Northwestern University, University of North Carolina at Chapel Hill, University of Minnesota, New York Genome Center, University of UtahBackgroundTreatment and preventative advances for chronic obstructive pulmonary disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if unsupervised machine learning on CT images would discover...
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