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Approved Projects

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

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Name Principal Investigator Institution Study Date Approved Project ID
Data-driven Imaging Biomarker (DIB) study in NLST datasets Ki Hwan Kim Lunit NLST Feb 1, 2019 NLST-474
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
Data-efficient and interpretable machine learning framework for lung cancer screening Lei Xing Stanford University NLST Jan 27, 2020 NLST-628
Data Integration and Imputation Across Multiple Medical Datasets Vivatchai Kaveeta Chiang Mai University PLCO Dec 5, 2022 PLCO-1120
Data mining based decision support system using data warehouse. Canan Eren ATAY Dokuz Eylül University PLCO Dec 5, 2016 PLCO-241
Data mining for NLST Rong Chen University of Maryland, Baltimore NLST Apr 19, 2016 NLST-211
Data Mining Framework for Predicting Ovarian Cancer Roopashri Shetty Manipal Institute of Technology PLCO May 9, 2022 PLCO-975
Data mining study on clinical and imaging data for assessing cancer risk and estimating outcome Shandong Wu University of Pittsburgh, Department of Radiology PLCO Sep 20, 2019 PLCOI-519
Data Mining Techniques to predict Early Stage Lung Cancer in NLST population Jinglu Wang Weill Cornell Medical College NLST Jul 19, 2016 NLST-229
Data Processing and Analytic Support in the PLCO Cancer Screening Trial Pam Marcus NCI PLCO Sep 16, 2015 PLCO-165
Data Science Project: To develop prediction model for Lung Cancer Risk Ella Buzhor Holon Institute of Technology (HIT) PLCO Dec 5, 2022 PLCO-1121
Dataset Analysis for Identifying General Data Statistics Jonathan Hubermann Concordia University PLCO Dec 5, 2022 PLCO-1119
Dataset corresponding to the Schoen et al. (2003 JAMA) publication for testing a simulation model of population screening using flexible sigmoidoscopy Timothy Church University of Minnesota PLCO Mar 20, 2008 2007-0063
Decisions to perform invasive diagnostic procedures follow a probability curve based upon the risk of cancer: insights from lung, ovarian and prostate cancer from the PLCO dataset Fabien Maldonado Vanderbilt University Medical Center PLCO May 7, 2021 PLCO-778
Decoding mechanisms underlying metabolic dysregulation in obesity and digestive cancer risk Xuehong Zhang Harvard Medical School PLCO Jun 21, 2022 2022-0002
Deep Active Survival Analysis approach on Prostate Cancer treatment Satyo Iswara University of Illinois At Urbana-Champaign PLCO Apr 25, 2022 PLCO-971
Deep artificial neural networks for lung nodule detection and classification Giovanni Montana King's College London NLST Aug 7, 2015 NLST-150
Deep based cancer/nodule detection project WenJia Song University of Queensland NLST Mar 22, 2022 NLST-894
DeepCoronaScan Christophe Zimmer Institut Pasteur Paris NLST Jul 21, 2020 NLST-696
Deep learning algorithm for the detection of critical findings on chest CT images. Maria Mercedes Serra Entelai NLST May 12, 2020 NLST-670