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 |
|---|---|---|---|---|---|
| Molecular characterization of bladder tumors and studies of etiologic heterogeneity in the PLCO Trial | Stella Koutros | National Cancer Institute | PLCO | Mar 14, 2017 | 2016-0045 |
| Pancreatic Cancer Prediction using Machine Learning | Akshay Bodkhe | San Jose State University | PLCO | Mar 2, 2017 | PLCO-259 |
| PSA velocity and prostate cancer mortality in the PLCO Cancer Screening Trial | Kathryn Barry | University of Maryland School of Medicine | PLCO | Mar 1, 2017 | PLCO-261 |
| Genetic ancestry of African Americans who have been already genotyped in PLCO | Neal Freedman | NCI | PLCO | Mar 1, 2017 | PLCO-263 |
| Building a Common Data Model for Cancer Research | Guoqian Jiang | Mayo Clinic | PLCO | Feb 25, 2017 | PLCO-258 |
| BMI, weight change and the risk of colorectal cancer in the PLCO Cancer Screening Trial | Kathryn Barry | University of Maryland School of Medicine | PLCO | Feb 23, 2017 | PLCO-260 |
| Fertility, Ectopic Pregnancy, and Ovarian Cancer Risk | Suneeta Senapati | University of Pennsylvania Perelman School of Medicine | PLCO | Feb 23, 2017 | PLCO-262 |
| Distributed Automated Tuberculosis and Cancer Diagnosis | Jochen Nessel | Rai and Rohl Technologies, Inc. | PLCO | Feb 22, 2017 | PLCO-256 |
| Automatic Early Lung Cancer Detection with Deep Neural Networks | Jackie Jiang | Wingspan Technology | NLST | Feb 22, 2017 | NLST-287 |
| Automated Lung Nodule Detection using Deep Neural Networks | Kun-Hsing Yu | President and Fellows of Harvard College | NLST | Feb 22, 2017 | NLST-286 |
| Building a Common Data Model for Cancer Research | Guoqian Jiang | Mayo Clinic | NLST | Feb 17, 2017 | NLST-285 |
| Evaluation of Physical Activity and Sedentary Behavior Measures Suitable for Large-scale Epidemiologic Studies | Charles Matthews | NIH | IDATA | Feb 13, 2017 | IDATA-9 |
| Pulmonary Nodule Detection and Classification using large scale CT data | feifei zhou | Independent Researcher, not applicable | NLST | Feb 13, 2017 | NLST-283 |
| Radiomics using Deep Learning with High Performance Computing | Eduardo Ulises Moya Sánchez | Barcelona Supercomputing Center | NLST | Feb 9, 2017 | NLST-275 |
| Improvement of Early Lung Cancer Detection Rate for Patients Undergoing 18F-FDG PET/CT scans | Tsung-Ying Ho | Chang Gung Memorial Hospital | NLST | Feb 9, 2017 | NLST-284 |
| Surgical approach and outcomes in NLST patients with positive screening CT | Brendon Stiles | Weill Cornell Medicine | NLST | Feb 7, 2017 | NLST-281 |
| Phase 3 validation of early detection biomarker panel for pancreatic cancer | Ann Oberg | Mayo Clinic | PLCO | Feb 2, 2017 | 2016-0041 |
| Compliance and Mortality | Paul Pinsky | NCI | PLCO | Feb 2, 2017 | PLCO-255 |
| Medical applications of example-based super-resolution | Ramin Zabih | Joan & Sanford I. Weill Medical College of Cornell University | NLST | Jan 31, 2017 | NLST-279 |
| Deep learning of lung cancer images for segmentation and outcome prediction | Olivier Gevaert | Stanford University | NLST | Jan 31, 2017 | NLST-276 |