Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Screening lung cancer from CT scans through deep learning and assistive AI | Amulya Mathur | Carnegie Mellon University | NLST | Apr 2, 2024 | NLST-1225 |
| Probabilistic Analysis of NLST data and prediction | Jyoti Bhadana | University of Alberta | NLST | Apr 2, 2024 | NLST-1224 |
| Predicting Pulmonary Function Abnormalities with a Texture-Based Quantification of Normal Lung Parenchyma in Chest Computed Tomography | Alysson Carvalho | ID'Or Institute Research and Education | NLST | Apr 2, 2024 | NLST-1223 |
| Enhancing Pulmonary Involvement Assessment in Computed Tomography Scans Using Predictive Models Based on Demographics and Anatomical Measurements | Alysson Carvalho | ID'Or | NLST | Apr 2, 2024 | NLST-1222 |
| AI-assisted Lung Nodule Detection in Radiology | Anita Blazevic | FH Technikum Vienna | NLST | Mar 27, 2024 | NLST-1215 |
| Multimodal Medical Imaging Fusion for Diagnostic Assistance: Towards a General Model | Axel Bessy | ATOS | NLST | Mar 25, 2024 | NLST-1210 |
| A Hybrid Classical-Quantum Neural Network to Predict Future Lung Cancer Risk From a Single Low-Dose CT | Weixin Lu | New York University | NLST | Mar 25, 2024 | NLST-1208 |
| XECAN and Rescue Lung CTLS Registry | Bin Yang | XECAN Smart Safe Oncology | NLST | Mar 25, 2024 | NLST-1203 |
| Segmentation of future lung cancer from LDCT screening scans. | Daniel Truhn | Department of Diagnostic and Interventional Radiology of the University Hospital Aachen (Germany) | NLST | Mar 12, 2024 | NLST-1207 |
| The utility of CT-based nodule characteristics and polygenic risk score in the setting of a lung cancer screening trial. | Gerard Silvestri | Medical University of South Carolina | NLST | Mar 11, 2024 | NLST-1201 |
| Anomaly Detection in Lung CT Scans through AWS SageMaker: A Machine Learning Approach | Emma Kang | University of California at Berkeley | NLST | Mar 11, 2024 | NLST-1202 |
| Feasibility of colorectal and lung cancer screening using machine learning towards effective screening and early detection | Sujin Kim | University of Kentucky | NLST | Feb 29, 2024 | NLST-1200 |
| Validation of a multimodal generative model for lung cancer and tuberculosis detection on chest radiograph in screening population | Amy Hong | Kakaobrain | NLST | Feb 26, 2024 | NLST-1197 |
| Long-Term Mortality Patterns Following Lung Cancer Subtype Resections: A Comparative Analysis of NLST Data | Christopher Towe | Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University | NLST | Feb 26, 2024 | NLST-1196 |
| Reassessing Efficacy: Understanding Failures in Lung Cancer Screening Despite Low-Dose CT Protocol Adherence | Christopher Towe | Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University | NLST | Feb 26, 2024 | NLST-1195 |
| Automated Machine Learning System for Analysis and Interpretation of Lung CT images | John Pepper | National Cancer institute, Division of Cancer Prevention | NLST | Feb 14, 2024 | NLST-1194 |
| Clinical Lung Cancer Screening Model | Dragos Zanchi | Pulmonary and Sleep of Tampa Bay PL | NLST | Feb 14, 2024 | NLST-1193 |
| Microsimulation model of a risk-based lung cancer screening program | Jacopo Di Silvestre | University of Oslo | NLST | Jan 26, 2024 | NLST-1191 |
| Lung disease detection using CT scan and AI | Vaibhav Ram | SRM institute of science and technology | NLST | Jan 17, 2024 | NLST-1190 |
| Lung Cancer Risk Analysis | Danbir Rashid | Leading University | NLST | Jan 16, 2024 | NLST-1187 |