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 |
|---|---|---|---|---|---|
| Lung Cancer Screening and Risk Assessment | Edward Tan | iota Medtech | NLST | Jan 13, 2023 | NLST-1008 |
| Risk assessment of individuals with screen-detected lung nodules | Stephen Duffy | Queen Mary University of London | NLST | Jan 12, 2023 | NLST-1007 |
| Non-lung cancer incidence in NLST | Ellen Chang | GRAIL, LLC | NLST | Dec 8, 2022 | NLST-995 |
| Machine Learning with Low Dose CT Data | Bennett Landman | Vanderbilt University | NLST | Dec 8, 2022 | NLST-993 |
| What does the National Lung Cancer Screening Trial imply for the effectiveness of computerized tomography screening in the US population? | Issa Dahabreh | Harvard University | NLST | Nov 2, 2022 | NLST-983 |
| Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT | Piotr Slomka | Cedars-Sinai | NLST | Nov 1, 2022 | NLST-981 |
| Development of CAD for lung nodule screening | Naïm Jalal | GE HEALTHCARE | NLST | Oct 27, 2022 | NLST-977 |
| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials | Alison Rustagi | University of California, San Francisco | NLST | Oct 18, 2022 | NLST-972 |
| Machine Learning Analysis for Lung Cancer Progression | Anderson Nnewihe | Johnson & Johnson Enterprise Innovation, Inc. | NLST | Oct 18, 2022 | NLST-973 |
| Comparative analysis of the cost-effectiveness and implementation of lung cancer screening with LDCT in the US and EU | Tanya Rajabi | Semmelweis University | NLST | Oct 11, 2022 | NLST-968 |
| Lung cancer risk assessment | Adam Vasserstrom | Nucleix | NLST | Oct 11, 2022 | NLST-965 |
| Synthetic generation and tagging of CT and pathology images | Jonathan Pearson | NHS Commissioning Board (NHS England) | NLST | Sep 28, 2022 | NLST-961 |
| AI based lung nodule detection and measurement tool for CT imaging of the chest | Mohammed Amro | Synthesis Health Intelligence Inc. | NLST | Sep 28, 2022 | NLST-960 |
| Leveraging Machine Learning to Optimize Donor Recipient Size Matching in Heart Transplantation | Veli Topkara | Columbia University Medical Center | NLST | Sep 20, 2022 | NLST-959 |
| Analyzing Pulmonary Nodules to Spot Lung Cancer in Low-Dose CT scans | Cheng He | Mirxes Labs Pte. Ltd., Singapore | NLST | Sep 8, 2022 | NLST-958 |
| Similar patch image retreival for cancer diagnosis | Moti Moravia | Datability | NLST | Sep 6, 2022 | NLST-954 |
| Eye-tracking to find missed Lung Nodules | Gregory DiGirolamo | University of Massachusetts, Chan Medical School | NLST | Sep 6, 2022 | NLST-953 |
| Improving detection of lung cancer using radiomics and blood-based biomarkers | Kate Bloch | The University of Manchester | NLST | Sep 6, 2022 | NLST-951 |
| Self-supervised multi-modal neural networks for predicting response to immunotherapy in lung cancer patients. | Raquel Perez-Lopez | Vall d'Hebron Institute of Oncology | NLST | Sep 6, 2022 | NLST-950 |
| Automated pulmonary nodule tracking – development and evaluation | Yiting Xie | Merative | NLST | Aug 29, 2022 | NLST-949 |