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 |
|---|---|---|---|---|---|
| Integrative analysis to predict lung cancer patient outcome using NLST dataset | Guanghua Xiao | UT Southwestern Medical Center | NLST | Sep 5, 2019 | NLST-562 |
| PRE-THERAPY LUNG CANCER PROGNOSTIC PREDICTION IN IMAGES | Stelmo Magalhaes Barros Neto | Universidade Federal do Maranhão | NLST | Sep 5, 2019 | NLST-558 |
| Using the NLST database to develop a lung cancer malignancy prediction tool from CT and WSI data | Thomas Langø | SINTEF | NLST | Aug 22, 2019 | NLST-553 |
| Generalizing prediction of lung cancer from the NLST cohort using deep learning | Jon Steingrimsson | Brown University | NLST | Aug 22, 2019 | NLST-556 |
| Using Machine learning to find gender differences in the bone morphology of the first rib | Andreas Prescher | MOCA, Institute of Molecular and Cellular Anatomy, RWTH Aachen University | NLST | Aug 22, 2019 | NLST-554 |
| Automated lung diseases analysis using deep learning techniques | Peter M.A. van Ooijen | University Medical Center Groningen | NLST | Aug 13, 2019 | NLST-552 |
| Pulmonary nodule detection with deep learning | Ji Park | JLK-INSPECTION | NLST | Aug 9, 2019 | NLST-551 |
| 3D Visualization and segmentation of lung CT | William Daughton | Curemetrix, Inc. | NLST | Aug 7, 2019 | NLST-550 |
| Risk stratification for pulmonary nodules detected by CT imaging using plasma and imaging biomarkers | Paul E Kinahan | University of Washington | NLST | Jul 30, 2019 | NLST-544 |
| Lung Cancer Diagnosis using Artificial Intelligence | Shital Bhatt | MBIT | NLST | Jul 29, 2019 | NLST-547 |
| 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 |