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 |
---|---|---|---|---|---|
Exploring the Relationship Between Lifestyle Factors and Early-Stage Lung Cancer Using Publicly Available U.S. Data | Stephen (Jihao) Tao | Minot State University | NLST | Sep 16, 2024 | NLST-1321 |
AI-Driven Radiomic Models for Predicting Lung Cancer Risk and Disease Progression in Asbestos and Silica-Exposed Individuals: A Deep Learning Approach Integrating Clinical and Imaging Data | Ziba Gandomkar | University of Sydney | NLST | Sep 5, 2024 | NLST-1319 |
Lung cancer Diagnosis Using Deep Learning | Ayomide Abe | Sefako Makgatho health sciences university | NLST | Sep 5, 2024 | NLST-1318 |
AI Enhanced Triage in Lung Cancer Screening | Gerardo Hermosillo Valadez | Siemens Medical Solutions USA | NLST | Sep 5, 2024 | NLST-1314 |
Development and Validation of an Intelligent Risk Prediction Model for Lung Diseases Based on the NLST Cohort | Chin-Chi Kuo | China Medical University Hospital Taiwan | NLST | Aug 28, 2024 | NLST-1313 |
THORAX | Eleftherios Trivizakis | Foundation for Research and Technology - Hellas | NLST | Aug 28, 2024 | NLST-1312 |
Building a foundation model of lung health in CT data | Ahmed Hosny | Ambient, Inc. | NLST | Aug 23, 2024 | NLST-1309 |
Cancer risk after radiation exposure from low dose lung cancer screening (NCI Only version of NLST-1127) | Choonsik Lee | National Cancer Institute | NLST | Aug 19, 2024 | NLST-1307 |
MedRead is a website which will allow its users to read and analyze medical reports safely and effectively. | Denith Pramuditha | University of Westminster | NLST | Jul 30, 2024 | NLST-1297 |
Combined Pulmonary Fibrosis and Emphysema in Participants of the National Lung Screening Trial | Hyungjin Kim | Seoul National University Hospital | NLST | Jul 26, 2024 | NLST-1301 |
Early Detection of Lung Cancer | Moeez Qaiser | National University of Sciences and Technology | NLST | Jul 26, 2024 | NLST-1299 |
Implementation of Machine Learning Algorithm for Computer-aided Diagnosis of Indeterminate Pulmonary Lesions on Low-dose CT Imaging | Jerome Liang | Stony Brook Medicine | NLST | Jul 22, 2024 | NLST-1294 |
Predicting 5-year risk of lung cancer using LDCT images | Shu Jiang | Washington University School of Medicine | NLST | Jul 15, 2024 | NLST-1293 |
Grand Challenges on the development of AI algorithms for lung cancer screening. | Colin Jacobs | Radboud University Medical Center | NLST | Jul 8, 2024 | NLST-1282 |
Development and validation of risk prediction models for lung cancer for the ENGAGE framework | Iakovos Toumazis | The University of Texas MD Anderson Cancer Center | NLST | Jul 8, 2024 | NLST-1275 |
Validation of the deep learning models on NLST data (Chest radiographs) | yoona hwang | VUNO Inc. | NLST | Jul 8, 2024 | NLST-1274 |
SEGMENTATION AND CLASSIFICATION OF LUNG CANCER USING CNN MODELS | Ridwanullah Alabi | Kwara State University | NLST | Jun 24, 2024 | NLST-1277 |
AI-Enhanced Exploration of Lung Cancer Risk Factors | Antonio Jesus Diaz Honrubia | Universidad Politécnica de Madrid | NLST | Jun 17, 2024 | NLST-1273 |
SynapticEdge: Deep learning-based diagnostic tool for lung cancer pathology images | Oke Dimas Asmara | University of Groningen | NLST | Jun 17, 2024 | NLST-1272 |
AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection | Mohammad Monir Uddin | North South University | NLST | Jun 17, 2024 | NLST-1270 |