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 |
|---|---|---|---|---|---|
| Correlate quantitative CT features with long-term outcomes in patients with early signs of fibrosis | Joseph Jacob | University College London | NLST | Jul 19, 2019 | NLST-543 |
| Is 6 month an appropriate follow-up interval for LungRADS category 3 cases? | Edward Patz | Duke University School of Medicine | NLST | Jul 17, 2019 | NLST-541 |
| Lung Nodule Analysis | Apparao MLV | Endimension Technology | NLST | Jul 15, 2019 | NLST-539 |
| Development and validation of a candidate selection model for lung cancer screening and a nodule risk prediction model using CT scans | Hyungjin Kim | Seoul National University Hospital | NLST | Jul 12, 2019 | NLST-538 |
| Extracting Image Features with Deep Learning to Improve Cancer Risk Calculation | Hormuzd Katki | NCI | NLST | Jul 11, 2019 | NLST-537 |
| Advanced visual turing test of Generative Adversarial Networks using lung CT scans | Pascal Michel | Michel Ventures UG (haftungsbeschränkt) | NLST | Jul 11, 2019 | NLST-535 |
| Lung Cancer Screening Platform | Sean Finn | VIDAcare | NLST | Jul 11, 2019 | NLST-533 |
| Applying econometric methods to examine heterogeneity in the impact of lung cancer screening | Amanda Kowalski | National Bureau of Economic Research | NLST | Jul 9, 2019 | NLST-536 |
| SMAIR VISION | Zenyi Gómez | Tecnologico de Monterrey | NLST | Jun 24, 2019 | NLST-532 |
| Developing AI-based diagnostic system for lung cancer through joint business plan | Taegyu Kim | DEEPNOID | NLST | Jun 24, 2019 | NLST-531 |
| Artificial intelligence for detection of obstructive airway disease and malignant pulmonary nodules | Majid Afshar | Loyola University Medical Center | NLST | Jun 24, 2019 | NLST-520 |
| Image Classification of LDCT for Computer-aided Lung Cancer Diagnosis | Rachel Jennings | UHG R&D | NLST | Jun 21, 2019 | NLST-529 |
| Lung Cancer segmentation and 3D visualization | Hao Zhou | Dyad Medical, INC. | NLST | Jun 21, 2019 | NLST-530 |
| AI Driven Imaging Biomarkers | Talha Qaiser | AstraZeneca | NLST | Jun 19, 2019 | NLST-528 |
| Development and external validation of a lung nodule management system | Hyunho Park | VUNO Inc. | NLST | Jun 19, 2019 | NLST-527 |
| Using time-series data to predict nodule evolution | Joseph Jacob | University College London | NLST | Jun 18, 2019 | NLST-526 |
| A project for lung nodule detection | Haoyue Peng | Pingan Technology | NLST | Jun 17, 2019 | NLST-524 |
| Lung Cancer Screening in Patients with a Personal History of Cancer | Louise Henderson | The University of North Carolina at Chapel Hill | NLST | Jun 17, 2019 | NLST-525 |
| New Machine Learning Methods for Lung Nodule Detection and Classification to Optimize Cancer Screening | Maxine Tan | Monash University Malaysia | NLST | Jun 13, 2019 | NLST-522 |
| deep learning based pulmonary intelligent assistant diagnosis system | xiaohua liu | LinkDoc Technology (Beijing) Co.,Ltd. | NLST | Jun 13, 2019 | NLST-513 |