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 |
|---|---|---|---|---|---|
| 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 |
| The Practical Application of the Lung Cancer Risk Prediction Model 'Sybil': Replicating and Validating Study Results in Taiwan | Tsung-Ren Huang | National Taiwan University | NLST | Jan 11, 2024 | NLST-1186 |
| AI-based prognosis and therapy response prediction from pathology images | Iurii Tolkach | Institute of Pathology, University Hospital Cologne | NLST | Jan 9, 2024 | NLST-1185 |
| Using Contrastive Masked Video Autoencoders to detect lung cancer in high-risk individuals with low-dose CT scans | Bryan Jiang | STEM ADEMIA LLC | NLST | Jan 9, 2024 | NLST-1183 |
| The effect of the non cancer condition detected to the location of the cancer diagnosed | Grace Sidhu | Abbotsleigh | NLST | Jan 9, 2024 | NLST-1181 |
| Transporting a prediction model to a new cohort with a novel resampling method | Lei Song | George Washington University | NLST | Jan 9, 2024 | NLST-1182 |
| Enhancing lung cancer screening with low-dose CT: a comprehensive study on quantitative tools, data standardization, and reproducibility | Stefano Diciotti | Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna | NLST | Jan 2, 2024 | NLST-1175 |