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 |
---|---|---|---|---|---|
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 |
Transporting a prediction model to a new cohort with a novel resampling method | Lei Song | George Washington University | NLST | Jan 9, 2024 | NLST-1182 |
Community Early Detection of Chronic Obstructive Pulmonary Diseases using Quantitative LDCT Imaging and Machine Learning | Fanjie Lin | The First Affiliated Hospital of Guangzhou Medical University | NLST | Jan 2, 2024 | NLST-1167 |
Automatic lung tumor segmentation from CT images | yufen He | Wuhan University | NLST | Jan 2, 2024 | NLST-1179 |
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 |
Study on survival prediction method of lung cancer patients based on multimodal data | Thomas Fan | DongHua University | NLST | Jan 2, 2024 | NLST-1176 |
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 |
Deep learning based Lung disease(COPD) classification | Jinhao Huo | Ningbo University | NLST | Jan 2, 2024 | NLST-1173 |
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 |