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International Journal of Radiation Oncology, Biology, Physics|July 4, 2025
"Hope" Drives Quality of Life in Patients With Brain Metastases, But, the "Hope Center" Remains Elusive: An Analysis of NRG-CC003Benjamin W Corn, Rebecca Paulus, Vinai Gondi, et al.The Lancet. Respiratory Medicine|May 31, 2021
Airway mucin MUC5AC and MUC5B concentrations and the initiation and progression of chronic obstructive pulmonary disease: an analysis of the SPIROMICS cohortGiorgia Radicioni, Agathe Ceppe, Amina A Ford, et al.Respiratory Research|September 20, 2018
Imaging-based clusters in current smokers of the COPD cohort associate with clinical characteristics: the SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS)Babak Haghighi, Sanghun Choi, Jiwoong Choi, et al.Plos Genetics|July 12, 2008
A candidate gene approach identifies the CHRNA5-A3-B4 region as a risk factor for age-dependent nicotine addictionRobert B Weiss, Timothy B Baker, Dale S Cannon, et al.BMC Medical Genetics|August 3, 2018
Genome-wide association study of lung function and clinical implication in heavy smokersXingnan Li, Victor E Ortega, Elizabeth J Ampleford, et al.Neuro-Oncology|December 3, 2014
Delayed contrast extravasation MRI: a new paradigm in neuro-oncologyLeor Zach, David Guez, David Last, et al.American Journal of Respiratory and Critical Care Medicine|May 13, 2022
Reversible Airflow Obstruction Predicts Future Chronic Obstructive Pulmonary Disease Development in the SPIROMICS Cohort: An Observational Cohort StudyRussell G Buhr, Igor Z Barjaktarevic, P Miguel Quibrera, et al.International Journal of Chronic Obstructive Pulmonary Disease|October 29, 2020
Defining Chronic Mucus Hypersecretion Using the CAT in the SPIROMICS CohortMarni Stott-Miller, Hana Müllerová, Bruce Miller, et al.Annals of the American Thoracic Society|August 19, 2021
Comparative Impact of Depressive Symptoms and FEV<sub>1</sub>% on Chronic Obstructive Pulmonary DiseaseJacqueline O'Toole, Han Woo, Nirupama Putcha, et al.NAR Cancer|November 3, 2025
Brain tumor classification from FFPE samples using nanopore methylation sequencingGalina Feinberg-Gorenshtein, Assaf Grunwald, Carlo Vermeulen, et al.Pageof 90