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David O Wilson

Showing results (51-60 of 65) with videos related to

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BMJ Open Respiratory Research|March 14, 2024
Utility of peripheral protein biomarkers for the prediction of incident interstitial features: a multicentre retrospective cohort studySamuel Ash, Tracy J Doyle, Bina Choi, et al.
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)|January 23, 2018
Differences in Respiratory Symptoms and Lung Structure Between Hispanic and Non-Hispanic White Smokers: A Comparative StudyAlejandro A Diaz, Farbod N Rahaghi, Tracy J Doyle, et al.
Chest|March 16, 2026
Integrating deep learning of low-dose computed tomography with clinical data for lung cancer risk predictionRenzo Phellan Aro, Stephen Lam, Matthew T Warkentin, et al.
Respiratory Research|October 5, 2018
Characteristics of lung cancer among patients with idiopathic pulmonary fibrosis and interstitial lung disease - analysis of institutional and population dataJoo Heung Yoon, Mehdi Nouraie, Xiaoping Chen, et al.
Chest|February 17, 2018
Features of COPD as Predictors of Lung CancerLaurie L Carr, Sean Jacobson, David A Lynch, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|November 2, 2020
Contribution of a Blood-Based Protein Biomarker Panel to the Classification of Indeterminate Pulmonary NodulesEdwin J Ostrin, Leonidas E Bantis, David O Wilson, et al.
American Journal of Respiratory and Critical Care Medicine|February 11, 2015
Improving selection criteria for lung cancer screening. The potential role of emphysemaPablo Sanchez-Salcedo, David O Wilson, Juan P de-Torres, et al.
Clinical Proteomics|August 13, 2014
Validation of a blood protein signature for non-small cell lung cancerMichael R Mehan, Stephen A Williams, Jill M Siegfried, et al.
The Journal of Thoracic and Cardiovascular Surgery|February 15, 2023
Improving lung cancer diagnosis with cancer, fungal, and imaging biomarkersHannah N Marmor, Michael N Kammer, Stephen A Deppen, et al.
Thorax|January 9, 2024
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approachesMatthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, et al.
Pageof 7

Showing results (51-60 of 65) with videos related to

Sort By:
Pageof 7
BMJ Open Respiratory Research|March 14, 2024
Utility of peripheral protein biomarkers for the prediction of incident interstitial features: a multicentre retrospective cohort studySamuel Ash, Tracy J Doyle, Bina Choi, et al.
Chronic Obstructive Pulmonary Diseases (Miami, Fla.)|January 23, 2018
Differences in Respiratory Symptoms and Lung Structure Between Hispanic and Non-Hispanic White Smokers: A Comparative StudyAlejandro A Diaz, Farbod N Rahaghi, Tracy J Doyle, et al.
Chest|March 16, 2026
Integrating deep learning of low-dose computed tomography with clinical data for lung cancer risk predictionRenzo Phellan Aro, Stephen Lam, Matthew T Warkentin, et al.
Respiratory Research|October 5, 2018
Characteristics of lung cancer among patients with idiopathic pulmonary fibrosis and interstitial lung disease - analysis of institutional and population dataJoo Heung Yoon, Mehdi Nouraie, Xiaoping Chen, et al.
Chest|February 17, 2018
Features of COPD as Predictors of Lung CancerLaurie L Carr, Sean Jacobson, David A Lynch, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|November 2, 2020
Contribution of a Blood-Based Protein Biomarker Panel to the Classification of Indeterminate Pulmonary NodulesEdwin J Ostrin, Leonidas E Bantis, David O Wilson, et al.
American Journal of Respiratory and Critical Care Medicine|February 11, 2015
Improving selection criteria for lung cancer screening. The potential role of emphysemaPablo Sanchez-Salcedo, David O Wilson, Juan P de-Torres, et al.
Clinical Proteomics|August 13, 2014
Validation of a blood protein signature for non-small cell lung cancerMichael R Mehan, Stephen A Williams, Jill M Siegfried, et al.
The Journal of Thoracic and Cardiovascular Surgery|February 15, 2023
Improving lung cancer diagnosis with cancer, fungal, and imaging biomarkersHannah N Marmor, Michael N Kammer, Stephen A Deppen, et al.
Thorax|January 9, 2024
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approachesMatthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, et al.
Pageof 7