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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.

Approved NLST Projects

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

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Results: 870 (Showing 281 to 300)
Name Principal Investigator Institution Study Date Approved Project ID
Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features Lygia Costa Independent Researcher NLST Jan 27, 2021 NLST-753
Evaluation of Interstitial Lung Abnormalities using a deep learning developed algorithm Anand Devaraj Royal Brompton & Harefield NHS Foundation Trust NLST Jan 14, 2021 NLST-751
Recurrent Neural Network for prediction of survival in lung cancer patients using longitudinal CT data Maria J. Ledesma Carbayo Universidad Politécnica de Madrid NLST Jan 8, 2021 NLST-748
Analysis the tumor character and clinical data hanae yoshida Hitachi,Ltd NLST Jan 8, 2021 NLST-740
CT Findings and Long-Term Mortaity from Respiratory Diseases Paul Pinsky NCI NLST Jan 8, 2021 NLST-750
Implication of new models for predicting lung cancer screening selection based on CT scan and pathology image data Yuan Luo Northwestern University NLST Dec 31, 2020 NLST-745
Validation of Deep Learning Algorithm on Nodule Detection using Chest Radiographs in the National Lung Screening Trial Hao Wu Infervision Medical Technology NLST Dec 29, 2020 NLST-744
Artificial Intelligence To Predict The Risk Of Malignancy In Lung Cancer By Low-Dose CT Screening Studies Christian Salvatore DeepTrace Technologies, spin-off of University School for Advanced Studies IUSS Pavia NLST Dec 21, 2020 NLST-739
Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. Artur Dubrawski Carnegie Mellon University NLST Dec 21, 2020 NLST-738
Evaluation of a Lung Lesion Detection Tool Hajime Sasaki Hitachi Lyon Lab, Hitachi Medical Systems S.A.S. NLST Dec 18, 2020 NLST-736
Lung segmentation analysis tool Olivier Joly Brainomix NLST Dec 11, 2020 NLST-733
Image Analysis of Lung CT Images Kevin Bowyer University of Notre Dame NLST Dec 8, 2020 NLST-731
Identifying risk factors associated with metastatic progression from non-metastatic primary lung cancer among NLST lung cancer patients Summer Han Stanford University NLST Dec 8, 2020 NLST-732
Deep learning for identification of spread through air spaces (STAS) and prediction of survival of lung adenocarcinoma using pathology images I-Fang Chung Institute of Biomedical Informatics, National Yang-Ming University, Taiwan NLST Dec 2, 2020 NLST-730
Nonlinear performance analysis and prediction for robust low dose lung CT Grace Gang Johns Hopkins University NLST Nov 17, 2020 NLST-728
Predicting survival and molecular expression from histological images in lung cancer Gil Shamai Technion Research and Development Foundation Ltd NLST Nov 17, 2020 NLST-727
Deep Learning for Discovering and Visualising Biomarkers Gustavo Carneiro University of Adelaide NLST Nov 4, 2020 NLST-723
Validation of Deep Learning Algorithm by using extended follow-up data in the National Lung Screening Trial Ping Hu NCI NLST Oct 22, 2020 NLST-715
Development and cost analysis of a lung nodule management strategy combining artificial intelligence and Lung-RADS for baseline lung cancer screening Paul Babyn University of Saskatchewan NLST Oct 22, 2020 NLST-722
Explainable Artificial Intelligence in Radiotherapy: A CT imaging based neural network autonomous system for clinical decision support used in automatic radiation dose calculation for Lung Carcinoma (Lung Cancer) Hristo Petkov University Of Strathclyde NLST Oct 17, 2020 NLST-720