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 |
|---|---|---|---|---|---|
| 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 |
| Integrating NLST Data with InferRead CT Lung AI for Collaborative Learning on Collective Minds Radiology Platform | Swati Vara | Infervision UK LTD | NLST | Jan 2, 2024 | NLST-1174 |
| Identifying LDCT imaging features associated with second primary lung cancer risk among lung cancer patients | Summer Han | Stanford University School of Medicine | NLST | Dec 18, 2023 | NLST-1171 |
| Applying deep learning models to predict nodal metastasis from pathology imaging | Sanjay Aneja | Yale School of Medicine | NLST | Dec 11, 2023 | NLST-1170 |
| Develop generative AI models to enhance lung image processing for improved downstream clinical analysis | kibrom girum | Institut Curie | NLST | Dec 4, 2023 | NLST-1164 |
| Development of biomarkers of aging and health outcomes in chest X-ray images using deep learning | Yasuhito Mitsuyama | Osaka Metropolitan University | NLST | Dec 4, 2023 | NLST-1108 |
| Prediction of clinical events by deep learning based on CT scan and anapath slide | Tanguy Perennec | Institut de Cancérologie de l'Ouest | NLST | Nov 13, 2023 | NLST-1157 |
| Early Body Composition Adaptations in Lung Cancer Patients | Michael Toth | University of Vermont | NLST | Oct 31, 2023 | NLST-1152 |