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 |
---|---|---|---|---|---|
Improving risk stratification of uncertain pulmonary nodules based on deep learning method | yulu Wu | zhongyuan university of technology | NLST | Mar 25, 2024 | NLST-1219 |
Topological biomarker in lung adenocarcinoma | Senyi Deng | West China Hospital | NLST | Mar 25, 2024 | NLST-1209 |
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 |
Research on fusion algorithm for CT images and pathological images based on attention mechanism | YUYI TAN | Sun Yat-sen University | NLST | Mar 11, 2024 | NLST-1204 |
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 |
Identifying Cell Types in Lung Cancer Pathology Images Using Deep Learning | guiyun Chen | Jiangnan University | NLST | Jan 17, 2024 | NLST-1189 |
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 |
Tumor Longitudinal Growth Prediction | Bohan Yang | Wuhan University | NLST | Jan 9, 2024 | NLST-1184 |
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 |