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 |
|---|---|---|---|---|---|
| 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 |
| 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 |
| Labeling and identification of pulmonary nodules | kun tie | BEIJING HEALTHINGKON TECHNOLOGY CO.LTD | NLST | Aug 22, 2022 | NLST-947 |
| A semi-supervised deep clustering framework for personalized post-test risk-stratification in lung cancer screening | Stefano Diciotti | Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna | NLST | Aug 2, 2022 | NLST-942 |
| Development and validation of a survival model for lung cancer using pathological images | Zhangxin Zhao | Southern Medical University | NLST | Jul 22, 2022 | NLST-940 |
| Deep learning based lymph node metastasis and prognosis prediction for lung cancer | Danqing Hu | Zhejiang lab | NLST | Jul 22, 2022 | NLST-939 |
| Prediction of lung cancer brain metastasis risk with low-dose CT | Bangxia Suo | Renmin University of China | NLST | Jul 22, 2022 | NLST-937 |
| Pulmonary nodule classification based on deep learning | wan chaungye | Medical Imaging Laboratory, School of Software, Nankai University | NLST | Jul 15, 2022 | NLST-936 |
| Microsimulation model for lung cancer screening in New Zealand | Nokuthaba Sibanda | Victoria University of Wellington | NLST | Jul 14, 2022 | NLST-935 |
| Computed tomographic detection of necrotic lung nodules | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Jul 12, 2022 | NLST-930 |
| AI Information Design in Radiological Decision Making | Pranav Rajpurkar | Harvard Medical School | NLST | Jun 22, 2022 | NLST-926 |
| Evaluating Predictors of Improved Outcomes Among Patients Undergoing Surgery for Lung Cancer | Chi-Fu Jeffrey Yang | Massachusetts General Hospital | NLST | Jun 21, 2022 | NLST-922 |
| AI Empowered CT guided Robot Assisted Needle Targeting | SIANG LEONG | NDR MEDICAL TECHNOLOGY PRIVATE LIMITED | NLST | Jun 21, 2022 | NLST-923 |