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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
Racial disparities in outcomes in patients undergoing screening and treatment for Lung Cancer Gurudatta Naik University of Alabama at Birmingham NLST Oct 13, 2017 NLST-360
Prediction of a cancer in R language Lucia Plichtova University of Zilina - Slovakia PLCO Oct 12, 2017 PLCO-313
Disparity in time to treatment of cancer from after diagnosis between African American and White population and mortality outcomes Gurudatta Naik University of Alabama at Birmingham PLCO Oct 12, 2017 PLCO-312
Functional Genomics to Inform Gene Environment Interactions Ulrike Peters Fred Hutchinson Cancer Center PLCO Oct 12, 2017 PLCO-310
The association of garlic intake on total cancer incidence and mortality Lina Mu University at Buffalo PLCO Oct 10, 2017 PLCO-315
Prediction of abnormalities in Chest X-Rays with Machine learning techniques Sasa Grbic Siemens Medical Solutions PLCO Oct 10, 2017 PLCO-311
Prostate dataset evaluation Timothy Wong Independent PLCO Oct 5, 2017 PLCO-316
A nested case-control study of serum levels of polyfluoroalkyl chemicals (PFCs) and renal cell carcinoma among participants in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Jonathan Hofmann National Cancer Institute PLCO Sep 28, 2017 2017-0027
A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules Chung Yin (Joey) Kong Massachusetts General Hospital / Harvard Medical School NLST Sep 28, 2017 NLST-357
Publicly available prostate cancer datasets Tim Hulsen Philips Research PLCO Sep 27, 2017 PLCO-309
Methodologic research for stochastic models of colorectal cancer in natural history and under screening Hormuzd Katki NCI PLCO Sep 27, 2017 PLCO-308
Deep Learning for Lung Cancer Detection Ryan Sherman Deep Analytics NLST Sep 27, 2017 NLST-341
Detection and prediction analysis of lung cancer based on deep learning with low-dose CT Seyoun Park Johns Hopkins University NLST Sep 26, 2017 NLST-356
Computer-Aided Treatment Effectiveness Assessment Based on Lung Cancer CT Screening Hsiao-Dong Chiang Cornell University NLST Sep 26, 2017 NLST-346
Automatic Detection of Cancerous Lung Tissue Maribeth Cogan The University of Texas at Dallas NLST Sep 22, 2017 NLST-355
Nodule Identification for Lung Screening Osama Masoud Vital Images NLST Sep 22, 2017 NLST-353
Computer-aided diagnosis on lung cancer using enhanced machine learning Lu Yao School of Data and Computer Science, Sun Yat-sen University NLST Sep 21, 2017 NLST-351
Identifying lethal lung cancers from non-lethal disease using CT and pathology image markers Peng Huang Johns Hopkins University PLCO Sep 20, 2017 2017-9001
Use of head and neck cancer dataset Monika Khurana Independent PLCO Sep 20, 2017 PLCO-306
LDCT Pulmonary Nodule Assessment Model Based on Multi-Omics Approach Rayjean Hung Lunenfeld-Tanenbaum Research Institute, Sinai Health System NLST Sep 20, 2017 NLST-349