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Frontiers in Physiology|May 8, 2023
Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV1 decline: results from COPDGene and SPIROMICSJennifer M Wang, Wassim W Labaki, Susan Murray, et al.
Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK BiobankDavin Hill, Max Torop, Aria Masoomi, et al.
Research Square|July 9, 2025
Deep Learning of Suboptimal Spirometry to Predict Respiratory Outcomes and MortalityDavin Hill, Max Torop, Aria Masoomi, et al.
Respiratory Research|May 21, 2025
Use of quantitative CT chest imaging to derive and assess a radiographic phenotype of deployment-related constrictive bronchiolitisAlexander J Bell, Maria Masotti, Sundaresh Ram, et al.
Medrxiv : the Preprint Server for Health Sciences|May 7, 2026
Feature-Based Parametric Response Mapping on Thoracic Computed Tomography for Robust Disease Classification in COPDAli Namvar, Bingzhao Shan, Benjamin Hoff, et al.
Chest|June 12, 2018
Visual Estimate of Coronary Artery Calcium Predicts Cardiovascular Disease in COPDSurya P Bhatt, Ella A Kazerooni, John D Newell, et al.
The Journal of Clinical Investigation|July 28, 2026
Targeting casein kinase 1α-mediated FADD phosphorylation restores sensitivity in select CDK4/6 inhibitor-resistant breast cancer modelsSahezeel Awadia, Elizabeth K Ziemke, Nicole M Curnutt, et al.
JCI Insight|June 20, 2020
Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary diseaseSandeep Bodduluri, Arie Nakhmani, Joseph M Reinhardt, et al.
Annals of the American Thoracic Society|January 4, 2018
Paratracheal Paraseptal Emphysema and Expiratory Central Airway Collapse in SmokersCarla R Copeland, Hrudaya Nath, Nina L J Terry, et al.
The Journal of Clinical Investigation|September 27, 2018
Airway fractal dimension predicts respiratory morbidity and mortality in COPDSandeep Bodduluri, Abhilash S Kizhakke Puliyakote, Sarah E Gerard, et al.
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