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 |
|---|---|---|---|---|---|
| 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 |
| Optimize radiological workflows with automated diagnostics | Daniel Drieling | MeVis Medical Solutions AG | NLST | Mar 29, 2019 | NLST-491 |
| Quantitative CT Analysis to Predict Future Lung Cancer | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Mar 29, 2019 | NLST-490 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | PLCO | Mar 25, 2019 | PLCO-460 |
| Predicting patient outcomes with machine learning of cancer histopathology images | Moritz Gerstung | EMBL-EBI | PLCO | Mar 21, 2019 | PLCO-463 |
| Neural Network Application in Medical Research with Concentration on Breast Cancer | Chenying Lu | Harrisburg University | PLCO | Mar 21, 2019 | PLCO-462 |
| Risk factor epidemiology of thyroid cancer | Omar Abdel-Rahman | Avicenna Oncology center | PLCO | Mar 8, 2019 | PLCO-458 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | NLST | Mar 6, 2019 | NLST-487 |
| The role of BMI in upgrading and upstaging of men with clinically localized prostate cancer | Kathryn Barry | University of Maryland, Baltimore | PLCO | Feb 28, 2019 | PLCO-455 |
| Evaluating the Potential for Biomarker Use in CT Screening | Hilary Robbins | International Agency for Research on Cancer (IARC) | PLCO | Feb 20, 2019 | PLCO-456 |
| Machine Learning Classification of Nodules | Michal Lada | University of Rochester | NLST | Feb 19, 2019 | NLST-484 |