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 |
|---|---|---|---|---|---|
| Development of radiomic models for lung nodule diagnosis | Binsheng Zhao | Columbia University Medical Center | NLST | May 7, 2019 | NLST-507 |
| Breast Cancer Survival Analysis | Mohammad Tabatabai | Meharry Medical College | PLCO | May 1, 2019 | PLCO-478 |
| Survival Analysis of Melanoma 2016 | Mohammad Tabatabai | Meharry Medical College | PLCO | May 1, 2019 | PLCO-477 |
| Applying econometric methods to examine heterogeneity in the impact of screening | Amanda Kowalski | National Bureau of Economic Research | PLCO | May 1, 2019 | PLCO-476 |
| Validation of a standardized semiquantitative template for reporting cardiac abnormalities on thoracic CT examinations of patients with non-cardiac disease | Alexander Bankier | University of Massachusetts Medical School | NLST | May 1, 2019 | NLST-506 |
| Lung Screening: Efficacy versus Effectiveness | Ilana Gareen | Brown University | NLST | Apr 29, 2019 | NLST-505 |
| Lung lesions segmentation and cancer prediction | Ha Nguyen | Vingroup Big Data Institute | NLST | Apr 29, 2019 | NLST-504 |
| Population wide sarcopenia and sarcopenic obesity analysis | Andrew Green | The University of Manchester | NLST | Apr 17, 2019 | NLST-497 |
| Detection and prognosis of lung cancer with deep learning | Daniel Truhn | RWTH Aachen University | NLST | Apr 16, 2019 | NLST-500 |
| Cisco Validated Design reference architecture for SAS Artificial Intelligence / Machine Learning | Andrew Lockhart | SAS | NLST | Apr 13, 2019 | NLST-499 |
| Evaluating genetic, clinical, and environmental risk factors for second primary lung cancer | Summer Han | Stanford University | NLST | Apr 13, 2019 | NLST-498 |
| Use of biometric data in pancreatic cancer prediction | Bonny Banerjee | University of Memphis | PLCO | Apr 10, 2019 | PLCO-469 |
| Development of an assistive lung cancer screening system from chest X-ray images using an anatomically aware deep Convolutional Neural Networks (CNN) | Taufiq Hasan | Department of Biomedical Engineering, Bangladesh University of Engineering and Technology | PLCO | Apr 10, 2019 | PLCO-471 |
| Automatic Coronary Calcium Scoring on both chest and cardiac CT using deep learning | Yufeng Deng | Infervision US Inc. | NLST | Apr 9, 2019 | NLST-496 |
| Measurement error methods for wearable device data, treating daily measurements as imprecise draws from long-term average | Dane Van Domelen | Johns Hopkins Bloomberg School of Public Health | IDATA | Apr 8, 2019 | IDATA-30 |
| Machine learning based lung cancer identification and characterization | Richard Vlasimsky | IMIDEX | NLST | Apr 5, 2019 | NLST-495 |
| “Prostate cancer data analysis using machine learning methods” | Henry Barlow | The University of Sydney | PLCO | Apr 5, 2019 | PLCO-468 |
| Is pre-biopsy MRI cost-effective relative to usual care in the diagnosis of prostate cancer? | Trisha Saini | Weill Cornell Medical College | PLCO | Apr 4, 2019 | PLCO-466 |
| Predicting the location and interval of lung nodule occurrence from low-dose CT | Matthew Blackledge | Institute of Cancer Research | NLST | Apr 4, 2019 | NLST-493 |
| Out of pocket costs associated with Lung Cancer Screening | Daniel Reuland | University of North Carolina at Chapel Hill Comprehensive Cancer Center | NLST | Apr 2, 2019 | NLST-492 |