Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Deep Learning for Prediction of Progression and Overall Survival of Lung Cancer using CT Examinations | Brian Huang | University of Pennsylvania | NLST | Aug 18, 2020 | NLST-705 |
| Deep Learning Inference: An application to screening lung diseases. | Wakahiu Njenga | http://behold.ai/ | NLST | Aug 18, 2016 | NLST-235 |
| Deep learning in lung cancer CAD | Xin Zhong | 12 Sigma Technologies | NLST | Jan 25, 2016 | NLST-191 |
| Deep learning model for discriminating early lung cancer from TB nodule and risk assessment management for lung nodule | SANDRA VINAY KUMAR | National Institute of Technology ,Karnataka | NLST | Feb 8, 2023 | NLST-1013 |
| Deep learning models to predict lung cancer malignancy | Yufeng Deng | Infervision US Inc. | NLST | Nov 25, 2019 | NLST-604 |
| Deep learning model using multi-modal data for lung cancer survival prediction | yingying zhu | University of Texas, Arlington | NLST | Jul 7, 2020 | NLST-684 |
| Deep learning mortality prediction in NLST data | Joseph Jacob | University College London | NLST | Jun 26, 2020 | NLST-681 |
| Deep learning of lung cancer images for segmentation and outcome prediction | Olivier Gevaert | Stanford University | NLST | Jan 31, 2017 | NLST-276 |
| Deep Learning on Lung CT | Elliot Smith | Maxwell MRI | NLST | Oct 27, 2017 | NLST-365 |
| Deep learning on Screening Data | Elliot Smith | Maxwell MRI | PLCO | Nov 27, 2017 | PLCO-328 |
| Deep Learning Pulmonary Nodule Classification | Yitzi Pfeffer | IMedis-AI LTD. | NLST | Sep 14, 2021 | NLST-832 |
| Deep Learning Reconstruction of Chest CT Volumes from Single or Multi View Chest Radiographs | Nadav Shapira | University of Pennsylvania | NLST | Jul 24, 2020 | NLST-697 |
| Deep Learning systems for detection of nodules and for simulation of new nodule training data. | Keelin Murphy | Radboud University Medical Center | NLST | Jul 2, 2021 | NLST-812 |
| Deep Learning to detect Chronic Obstructive Pulmonary Disease | Surya Bhatt | University of Alabama at Birmingham | NLST | Jun 18, 2020 | NLST-678 |
| Deep Learning to Detect Lung Cancer and Predict Mortality | George Washko | Brigham and Women's Hospital | NLST | Jun 14, 2017 | NLST-313 |
| DEEP LEARNING USING CHEST COMPUTED TOMOGRAPHY FOR THE DETECTION AND DIAGNOSIS OF LUNG CANCER | Jeremy Burt | Medical University of South Carolina | NLST | Sep 12, 2020 | NLST-709 |
| Deep Machine Learning for Detection of Lung Cancer from NLST Images | Eugene Demidenko | Geisel School of Medicine at Dartmouth | NLST | Sep 18, 2017 | NLST-347 |
| Deep Predictive Clustering of Irregular Time Series Data for Prostate Cancer Risk and Its Explainability | Vanessa Tschichold | Norwegian University of Science and Technology | PLCO | Jun 24, 2022 | PLCO-996 |
| Defining a paradigm to screen for HPV-related cancers: The next challenge for the HPV Cohort Consortium (HPVC3) | Hilary Robbins | International Agency for Research on Cancer (IARC) | PLCO | Sep 9, 2021 | 2021-0006 |
| Defining the role of lipids and metabolic factors as risk factor for prostate cancer and prostate cancer aggressiveness. A PhD project | Adel Aref | The University of Adelaide Freemasons Foundation Centre for Men’s Health South Australian Health and Medical Research Institute | PLCO | Apr 20, 2017 | PLCO-272 |