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 |
Positive Predictive Value (PPV) trends of lung screening with Low Dose Computed Tomography (LDCT) in next rounds and a prediction model of nodules with higher probability of being true positive | Reshad Hassannezhad | Tabriz University of Medical Sciences | NLST | Apr 13, 2016 | NLST-210 |
Using markers of endemic fungal infection to predict malignancy in lung nodules identified on screening CT | Laszlo Vaszar | Mayo Clinic Arizona | NLST | Apr 13, 2016 | NLST-205 |
Therapixel-AI | Vincent Montalieu | Therapixel | NLST | Apr 12, 2016 | NLST-209 |
Estimating Overdiagnosis in Cancer Screening Studies | Ruth Etzioni | Fred Hutchinson Cancer Research Center | PLCO | Apr 11, 2016 | PLCO-205 |
Pancreas cancer incidence and mortality by NLST trial arm | Pamela Marcus | NCI | NLST | Apr 8, 2016 | NLST-206 |
Developing automated algorithms for detection of lung pathology | Lily Peng | Google LLC | PLCO | Apr 8, 2016 | PLCO-204 |
Development of lung nodule categorization, characterization and quantification on LDCT for lung cancer screening | Mannudeep Kalra | Massachusetts General Hospital | NLST | Apr 4, 2016 | NLST-203 |
Extrapulmonary malignancy as a cause of mortality in the NLST | Myrna Godoy | MD Anderson Cancer Center - The University of Texas | NLST | Mar 30, 2016 | NLST-200 |
Lung nodule screening and classification using convolutional neural network (CNN) algorithms | Mike Liu | Raywon Technology Inc | NLST | Mar 29, 2016 | NLST-202 |
Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data | Ping Hu | National Cancer Institute | PLCO | Mar 29, 2016 | PLCO-200 |
Examining the ovarian palpation screen in PLCO | Paul Pinsky | NCI | PLCO | Mar 29, 2016 | PLCO-202 |
Use of Machine Learning and Decision Classifiers in the Analysis of PLCO Ovarian Data | Katherine Andriole | Brigham and Women's Hospital, Harvard Medical School | PLCO | Mar 29, 2016 | PLCO-201 |
Development and application of an estrogen related dietary pattern to predict postmenopausal breast cancer. | Susan Steck | University of South Carolina, Department of Epidemiology and Biostatistics, Cancer Prevention and Control Program | PLCO | Mar 25, 2016 | PLCO-193 |
The association between fatherhood and prostate cancer incidence and mortality | Michael Cook | National Cancer Institute / NIH | PLCO | Mar 25, 2016 | PLCO-197 |
Automated Examination of CT Chests To Determine Optimal Placement of Needle Thoracostomy | Matt Strickland | University of Toronto, Harvard University | NLST | Mar 25, 2016 | NLST-201 |
A Risk Prediction Modeling Based on SEM | Chenchen He | Southwest University, China | PLCO | Mar 18, 2016 | PLCO-198 |
Relationship of baseline colonoscopy findings to long term risk of CRC | Robert Schoen | University of Pittsburgh | PLCO | Mar 17, 2016 | PLCO-199 |
A Risk Prediction Modeling Based on SEM | Chenchen He | Southwest University, China | NLST | Mar 10, 2016 | NLST-199 |
Lung Cancer Among Limited-Duration Former Smokers: A Predictive Model | Wendy Leith | Forensic Research & Analysis | PLCO | Mar 8, 2016 | PLCO-195 |