Skip to Main Content

An official website of the United States government

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
Image Synthesis for Data Augmentation in Medical CT using Deep Learning Klaus Mueller Stony Brook University NLST Apr 21, 2021 NLST-787
Multimodal Data Fusion of Radiomic, Pathomic, and Semantic Features to Classify Pulmonary Nodules William Hsu David Geffen School of Medicine at UCLA NLST Apr 19, 2021 NLST-785
Clinical Research Education application of the NLST data Kenneth Christopher Harvard Medical School NLST Apr 12, 2021 NLST-781
Distribution of NLST imaging and limited clinical data through NCI public image repositories Keyvan Farahani National Cancer Institute NLST Apr 12, 2021 NLST-780
Investigation of alternative screening trial endpoints Phil Prorok NCI NLST Apr 5, 2021 NLST-779
Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes Michal Kucer Triad National Security, LLC NLST Mar 30, 2021 NLST-778
Multimodal patient predictions Javier Alvarez Valle Microsoft NLST Mar 30, 2021 NLST-776
Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification Ashish Gautam KardioLabs LLC NLST Mar 30, 2021 NLST-774
Machine Learning for Lung Nodule Detection and Diagnosis Classification Mehmet Kaya Florida Institute of Technology NLST Mar 30, 2021 NLST-777
Data-driven mathematical modeling approach for estimating lesion potency in lung cancer Souvik Roy University of Texas at Arlington NLST Mar 22, 2021 NLST-773
Predicting outcome of lung cancer patients using deep learning Andreas Kleppe Institute for Cancer Genetics and Infomatics, Oslo University Hospital NLST Mar 22, 2021 NLST-772
Dysanapsis and lung cancer Benjamin Smith The Trustees of Columbia University in the City of New York NLST Mar 10, 2021 NLST-768
Automated assessment of cardiovascular disease risk from CTs using deep learning Shazia Akbar Altis Labs, Inc. NLST Mar 10, 2021 NLST-770
Development of clinically applied recurrence prediction model through artificial intelligence Sung Yong Kim Infinitt Healthcare co,ltd NLST Mar 10, 2021 NLST-767
Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction (renewal of project NLST-256) Lisa Di Jorio Imagia Cybernetics NLST Mar 9, 2021 NLST-761
Predicting Mortality and Causes from Chest CT Images david wilson UPMC NLST Mar 9, 2021 NLST-762
Using Low-Dose Lung Computed Tomography to Predict the Risk of Lung Cancer Gigin Lin Chang Gung Memorial Hospital NLST Mar 8, 2021 NLST-764
Creating a reference distribution of predicted lung cancer risk Scott Lee Vanderbilt University Medical Center NLST Mar 8, 2021 NLST-763
Unsupervised Deep Learning Detection of Lung Cancer Nodules Ouwen Huang Gradient Health NLST Feb 8, 2021 NLST-758
A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection Jerry Liu Prairie View A&M University NLST Feb 5, 2021 NLST-756