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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 on CDAS whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Is the regular intake of tea (+/-added sugar) and broccoli (+/- other cruciferous vegetables) linked to the incidence of Prostate and breast Cancer? - An analysis of the PLCO cancer screening trial dataset Robert Thomas Bedford and Addenbrookes Cambridge University NHS Hospitals PLCO Jan 11, 2018 PLCO-335
Comprehensive Lung Cancer Assessment via Deep Learning Qian Li VoxelCloud, inc. NLST Jan 10, 2018 NLST-386
Automated Detection of Lung Cancer From LDCT Warren Clarida IDx LLC NLST Jan 8, 2018 NLST-385
A Comparison of Binary Classifiers Performance on Predicting Breast Cancer Diagnoses Vanessa Gutierrez Fordham University PLCO Jan 4, 2018 PLCO-336
Lung cancer prediction using artficial neural networks Saudagar Barde Smt kashibai navle college of engineering PLCO Jan 3, 2018 PLCO-334
Deep Learning at Chest Radiography and CT: Automated Detection and Diagnosis of Cancers. Daiju Ueda Department of Radiology and Interventional Radiology, Graduate School of Medicine, Osaka City University NLST Jan 2, 2018 NLST-384
Machine learning to predict risk from chest radiographs and clinical factors Michael Lu The General Hospital Corporation d/b/a Massachusetts General Hospital NLST Dec 29, 2017 NLST-383
Influence of accelerometer calibration approach on MVPA estimates for adults charles matthews NCI / DCEG / Metabolic Epidemiology Branch IDATA Dec 28, 2017 IDATA-19
Impact of Lung Cancer Screening on Lung Cancer Mortality in COPD Patients Juan Wisnivesky Icahn School of Medicine at Mount Sinai NLST Dec 26, 2017 NLST-380
Computerized Heart and Lung Disease Detection in Low-dose CT Images Pingkun Yan Rensselaer Polytechnic Institute NLST Dec 19, 2017 NLST-382
Machine learning to predict risk from chest radiographs and clinical factors Michael Lu The General Hospital Corporation d/b/a Massachusetts General Hospital PLCO Dec 19, 2017 PLCO-331
Incidence lung cancers after negative screening rounds: A retrospective review of CT findings and outcomes Jihang Kim Seoul National University Bundang Hospital NLST Dec 11, 2017 NLST-379
detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms Qasim Mohammad Independent NLST Dec 1, 2017 NLST-378
Automatic Lung Lesion Detection and Segmentation in CT Lin Yang University of Florida NLST Nov 29, 2017 NLST-377
A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules Chung Yin (Joey) Kong Massachusetts General Hospital PLCO Nov 27, 2017 PLCO-317
A genome-wide association study of lifecourse weight change Sonja Berndt National Cancer Institute PLCO Nov 27, 2017 PLCO-325
Deep learning on Screening Data Elliot Smith Maxwell MRI PLCO Nov 27, 2017 PLCO-328
Towards personalized cancer treatment with deep learning Francesco Ciompi Radboud University Medical Center PLCO Nov 24, 2017 PLCOI-323
Detection/Segmentation of lung cancer and more with deep learning Andy Song Medipixel NLST Nov 17, 2017 NLST-376
Computer-aided diagnosis system for lung-related pathology Aurélio Campilho INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência NLST Nov 15, 2017 NLST-375