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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
Building a Deep Learning prediction model using CT images and patient characteristics Jagdeep Podichetty Critical Path Institute NLST May 22, 2019 NLST-511
Development of radiomic models for lung nodule diagnosis Binsheng Zhao Columbia University Medical Center NLST May 7, 2019 NLST-507
Validation of a standardized semiquantitative template for reporting cardiac abnormalities on thoracic CT examinations of patients with non-cardiac disease Alexander Bankier University of Massachusetts Medical School NLST May 1, 2019 NLST-506
Lung Screening: Efficacy versus Effectiveness Ilana Gareen Brown University NLST Apr 29, 2019 NLST-505
Lung lesions segmentation and cancer prediction Ha Nguyen Vingroup Big Data Institute NLST Apr 29, 2019 NLST-504
Population wide sarcopenia and sarcopenic obesity analysis Andrew Green The University of Manchester NLST Apr 17, 2019 NLST-497
Detection and prognosis of lung cancer with deep learning Daniel Truhn RWTH Aachen University NLST Apr 16, 2019 NLST-500
Cisco Validated Design reference architecture for SAS Artificial Intelligence / Machine Learning Andrew Lockhart SAS NLST Apr 13, 2019 NLST-499
Evaluating genetic, clinical, and environmental risk factors for second primary lung cancer Summer Han Stanford University NLST Apr 13, 2019 NLST-498
Automatic Coronary Calcium Scoring on both chest and cardiac CT using deep learning Yufeng Deng Infervision US Inc. NLST Apr 9, 2019 NLST-496
Machine learning based lung cancer identification and characterization Richard Vlasimsky IMIDEX NLST Apr 5, 2019 NLST-495
Predicting the location and interval of lung nodule occurrence from low-dose CT Matthew Blackledge Institute of Cancer Research NLST Apr 4, 2019 NLST-493
Out of pocket costs associated with Lung Cancer Screening Daniel Reuland University of North Carolina at Chapel Hill Comprehensive Cancer Center NLST Apr 2, 2019 NLST-492
Optimize radiological workflows with automated diagnostics Daniel Drieling MeVis Medical Solutions AG NLST Mar 29, 2019 NLST-491
Quantitative CT Analysis to Predict Future Lung Cancer TIMOTHY CLOUSER Quantitative Imaging Solutions, LLC NLST Mar 29, 2019 NLST-490
Gender-specific susceptibility and hormonal influence on lung cancer incidence Juan Wisnivesky Icahn School of Medicine at Mount Sinai NLST Mar 6, 2019 NLST-487
Machine Learning Classification of Nodules Michal Lada University of Rochester NLST Feb 19, 2019 NLST-484
Lung cancer case prioritization tool with automated CT scan classification Ramune Dauksaite Birkbeck College, University of London NLST Feb 19, 2019 NLST-483
Prediction of NSCLS from CT scan and habitual data of a person after two years by using CNN and LSTM machine learning techniques Mayur Munshi University of Manchester NLST Feb 14, 2019 NLST-481
Therapixel-AI Stephanie Lopez Therapixel NLST Feb 5, 2019 NLST-478