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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
COVID-19 AI Screening Model Pretraining Using NLST Data - Is CT a clinically meaningful COVID screening tool? Shadab Khan Group 42 NLST Apr 6, 2020 NLST-654
CT-based COVID-19 Diagnostic Tool David Wiley Stratovan Corporation NLST Apr 2, 2020 NLST-653
Accurate detection of COVID-19 patterns from CT lung scans by deep learning Piotr Slomka Cedars-Sinai Medical Center NLST Mar 23, 2020 NLST-651
Diagnosing COVID-19 from deep learning trained on CT scans Jean-Remi King CNRS NLST Mar 17, 2020 NLST-650
Lung tumor early detection and prognosis with machine learning approach Tengfei Li University of North Carolina at Chapel Hill NLST Mar 16, 2020 NLST-649
Development of DCNN-based solution for lung cancer detection based on CT images. Noé Samaille IBM NLST Mar 16, 2020 NLST-648
Autoencoder for CT images and automatic clustering of patients michael roberts Astrazeneca NLST Mar 10, 2020 NLST-647
Similar Patient Search for Cancer Patients Elham Taghizadeh Fraunhofer MEVIS: Institute for Digital Medicine NLST Mar 10, 2020 NLST-645
Lung Cancer Detection and Classification Using Deep Learning Daniel Korat Interdisciplinary Center Herzliya NLST Mar 3, 2020 NLST-643
Lung cancer prognosis in CNUH Vi Vo Thi Tuong Chonnam National University NLST Feb 24, 2020 NLST-640
Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data Matloob Khushi The University of Sydney NLST Feb 24, 2020 NLST-641
Imaging Biomarkers for Lung Cancer Screening Hengyong Yu University of Massachusetts Lowell NLST Feb 19, 2020 NLST-639
Evaluation of Thoracic Aortic Aneurysm Mortality with Low-Dose Computed Tomographic Screening. A Claire Watkins Stanford University NLST Feb 19, 2020 NLST-638
Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data Yi Chen ASUS AICS NLST Feb 19, 2020 NLST-637
A new mathematical model for the computation of optimal cancer surveillance schedules Johannes Reiter Stanford University NLST Feb 7, 2020 NLST-636
Developing a prognostic prediction model using Delta Radiomic Features and Clinical Information for Lung Cancer Detection XIAOFENG WANG Cleveland Clinic NLST Jan 30, 2020 NLST-634
Comparison of National Lung Cancer Resection Outcomes to Screening Trial Outcomes Tyler Grenda Sidney Kimmel Medical College, Thomas Jefferson University NLST Jan 27, 2020 NLST-633
Lung cancer detection using Deep Convolutional Neural Network Deepa P L Mar Baselios College of Engineering and Technology NLST Jan 27, 2020 NLST-632
Improvement of the Accuracy in Detection of pulmonary nodules Wei-Ying Chen International Integrated Systems, Inc NLST Jan 27, 2020 NLST-631
Studies to use extended NLST follow-up data Hormuzd Katki NCI NLST Jan 27, 2020 NLST-626