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 |
|---|---|---|---|---|---|
| Validation of serum autoantibody for pancreatic cancer early detection | Johannes Fahrmann | MD Anderson Cancer Center | PLCO | Jun 2, 2016 | 2016-0018 |
| Role of diet and metabolism in risk of lethal prostate cancer in a PLCO cohort | Nima Sharifi | Cleveland Clinic | PLCO | Jun 1, 2016 | 2016-0015 |
| A Genome-Wide Scan to Detect Loci Associated with Multiple Primary Cancers | Sonja Berndt | National Cancer Institute | PLCO | May 31, 2016 | PLCO-210 |
| A Novel Approach to Facilitate Interoperability between Clinical Decision Support Systems and Electronic Health Records | Ran Wei | Rutgers University - New Jersey Medical Shcool | NLST | May 26, 2016 | NLST-222 |
| A Radiomics approach to distinguish benign from malignant nodules on Low Dose CT | Anant Madabhushi | Emory University | NLST | May 20, 2016 | NLST-218 |
| Artificial Intelligence to detect and classify tumors | Daniel Meyer | Sphera, Inc. | NLST | May 12, 2016 | NLST-215 |
| CAD system for lung cancer | Xiaoting Dai | College of medical devices and food science, University of Shanghai for Science and Technology | NLST | May 3, 2016 | NLST-213 |
| AI for Lung Nodule Characterization | Hugo Aerts | Harvard-DFCI | NLST | Apr 26, 2016 | NLST-208 |
| A genome-wide survival analysis of non-small cell lung cancers | David Christiani | Harvard University | PLCO | Apr 26, 2016 | PLCO-208 |
| Developing automated algorithms for detection of lung pathology | Lily Peng | Google LLC | NLST | Apr 25, 2016 | NLST-204 |
| Predicting overall survival using CT and pathological image features | Peng Huang | Johns Hopkins University | NLST | Apr 21, 2016 | NLST-214 |
| 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 |