Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| 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 |
| Smart Bronchoscopy | James Shen | Noah Medical Corporation | NLST | Sep 12, 2020 | NLST-708 |
| A deep-learning signature of lesion detection, malignancy evaluation, risk stratification and management strategy for pulmonary nodules on computed tomography | Chang Chen | Shanghai Pulmonary Hospital, Tongji University School of Medicine | NLST | Sep 10, 2020 | NLST-707 |
| 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 |
| Learning with Sure data for Lung Cancer Prediction | Hanxiao Zhang | Institute of Medical Robotics, Shanghai Jiao Tong University | NLST | Aug 18, 2020 | NLST-704 |
| Development of Ultra High Resolution CT for Differential Diagnosis of Lung Nodules found using Low Dose CT | Rasika Rajapakshe | BC Cancer Agency Sindi Ahluwalia Hawkins Centre for the Southern Interior | NLST | Aug 18, 2020 | NLST-703 |
| Development of deep-learning software for the detection, classification, and malignancy risk assessment of lung nodules on LDCT | Kenneth Tang | AIRdx | NLST | Aug 18, 2020 | NLST-702 |
| Subgroup Identification based on Lung Cancer Risk Prediction Model | Jon Steingrimsson | Brown University | NLST | Aug 5, 2020 | NLST-701 |
| Blood-based biomarkers as a complement to CT screening for lung cancer | Edwin Ostrin | University of Texas MD Anderson Cancer Center | NLST | Jul 29, 2020 | NLST-698 |
| 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 |
| DeepCoronaScan | Christophe Zimmer | Institut Pasteur Paris | NLST | Jul 21, 2020 | NLST-696 |
| Effect of lung morphology on particle deposition in the airways | Uduak George | San Diego State University | NLST | Jul 17, 2020 | NLST-694 |
| Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants | Soon Ho Yoon | Seoul National University Hospital | NLST | Jul 17, 2020 | NLST-695 |
| Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images | Mohammad Soltanieh-ha | Boston University | NLST | Jul 13, 2020 | NLST-692 |
| Deep learning model using multi-modal data for lung cancer survival prediction | yingying zhu | University of Texas, Arlington | NLST | Jul 7, 2020 | NLST-684 |
| Actionable Intelligence Research for Early Lung Cancer Detection | Jia Wu | MD Anderson Cancer Center | NLST | Jul 7, 2020 | NLST-690 |
| Lung Cancer Nodule Detection Using Algorithm. | MUHAMMAD UMAIR | NED UNIVERSITY | NLST | Jul 7, 2020 | NLST-688 |
| Development of CNN-based model in predicting patients outcomes | Shaunagh McDermott | Massachusetts General Hospital | NLST | Jun 30, 2020 | NLST-686 |
| Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. | Marcelo Oliveira | Universidade Federal de Alagoas (UFAL) | NLST | Jun 29, 2020 | NLST-685 |
| Varying preferences for predictive information among patients at risk for lung cancer | Gary Weissman | University of Pennsylvania Perelman School of Medicine | NLST | Jun 26, 2020 | NLST-682 |