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Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Actionable Intelligence Research for Early Lung Cancer Detection Jia Wu MD Anderson Cancer Center NLST Jul 7, 2020 NLST-690
Lung Cancer Nodule Detection Using Algorithm. MUHAMMAD UMAIR NED UNIVERSITY NLST Jul 7, 2020 NLST-688
Development of CNN-based model in predicting patients outcomes Shaunagh McDermott Massachusetts General Hospital NLST Jun 30, 2020 NLST-686
Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. Marcelo Oliveira Universidade Federal de Alagoas (UFAL) NLST Jun 29, 2020 NLST-685
Varying preferences for predictive information among patients at risk for lung cancer Gary Weissman University of Pennsylvania Perelman School of Medicine NLST Jun 26, 2020 NLST-682
Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan Cecile Dupont MD Start NLST Jun 26, 2020 NLST-683
Deep learning mortality prediction in NLST data Joseph Jacob University College London NLST Jun 26, 2020 NLST-681
Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities Suryadipto Sarkar Arizona State University NLST Jun 22, 2020 NLST-679
Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT Nana Boame Brown University NLST Jun 22, 2020 NLST-680
Deep Learning to detect Chronic Obstructive Pulmonary Disease Surya Bhatt University of Alabama at Birmingham NLST Jun 18, 2020 NLST-678
Evaluating six-step parsimonious quadratic logistic regression for risk prediction Stuart Baker National Cancer Institute NLST Jun 12, 2020 NLST-676
Comparative Effectiveness of Different Lung Cancer Treatments Chi-Fu Yang Stanford NLST Jun 9, 2020 NLST-675
Visceral Obesity is associated with adverse lung cancer outcomes Saikrishna Yendamuri Roswell Park Comprehensive Cancer Center NLST May 12, 2020 NLST-669
Deep learning algorithm for the detection of critical findings on chest CT images. Maria Mercedes Serra Entelai NLST May 12, 2020 NLST-670
Validation Testing of CADe for Pulmonary Nodules Yusuke Nakamura Plusman LLC NLST Apr 30, 2020 NLST-667
Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data: Extended Incidence and Mortality Ping Hu NCI NLST Apr 23, 2020 NLST-666
Comparing NLST/PLCO versus Yunnan Tin Miners study with chest X-ray screening: Extended Incidence and Mortality Ping Hu NCI NLST Apr 23, 2020 NLST-665
Computer-aided Detection System for Lung Nodules in Low-dose CT Scans Rong-Tai Chen TaiHao Medical Inc. NLST Apr 21, 2020 NLST-662
Explainable Artificial Intelligence Model for Lung Cancer Detection Dr. Chern Hong Lim Monash University Malaysia Sdn Bhd [ Co. Reg. No. : 199801002475 (458601-U)] NLST Apr 9, 2020 NLST-656
Automated assessment of multiple diagnoses and findings in NLST Joshua Reicher imvaria inc. NLST Apr 8, 2020 NLST-655