Approved Projects
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 |
|---|---|---|---|---|---|
| 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 |
| Deep Learning Algorithm Performance | Gregory Sorensen | N/A | NLST | Aug 18, 2015 | NLST-152 |
| Deep learning and compact feature representations for medical image analysis | Aria Pezeshk | FDA | NLST | Jan 13, 2015 | NLST-109 |
| Deep learning and other automated techniques for predicting incident cardiovascular death and cancer from lung cancer screening CT | Michael Lu | The General Hospital Corporation d/b/a Massachusetts General Hospital | NLST | Oct 25, 2017 | NLST-367 |
| 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 |
| 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 | PLCO | Mar 6, 2018 | PLCO-333 |