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 |
|---|---|---|---|---|---|
| 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 |
| Survival analysis based on pathological images of lung cancer patients | xiaofei xia | Anhui University | NLST | Oct 19, 2022 | NLST-976 |
| 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 |
| Early diagnosis of lung cancer based on imbalance class data | Xiaowen Yang | Chongqing University of Posts and Telecommunications | NLST | Oct 18, 2022 | NLST-967 |
| Lung Nodule Malignancy Classification Based On Time-Series Model | Chaoran Jia | Dalian University of Technology | NLST | Oct 18, 2022 | NLST-969 |
| 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 |
| Study on the Evolution and Diagnostic Model of Early Stage Lung Cancer | Ning Xiao | Shanxi University of Finance and Economics | NLST | Sep 29, 2022 | NLST-964 |
| Lung cancer risk prediction model based on demographic data and diagnostic data | Shijie Sun | Chongqing University of Posts and Telecommunications | NLST | Sep 28, 2022 | NLST-963 |
| 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 | Piyush Samant | Mirxes Labs Pte. Ltd., Singapore | NLST | Sep 8, 2022 | NLST-958 |
| Computer-aided Diagnosis in Chest Images Based on Machine Learning | wanle chi | WenZhou PolyTechnic | NLST | Sep 6, 2022 | NLST-957 |
| Data Intrinsic Bias Detection in Medical Image Dataset | Lanjun Wang | Tianjin University | NLST | Sep 6, 2022 | NLST-956 |
| 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 |
| Lung Cancer Risk Associated With New Solid Nodules in the National Lung Screening Trial | quanyang wu | Peking Union Medical college | NLST | Sep 6, 2022 | NLST-952 |