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 |
|---|---|---|---|---|---|
| Pulmonary CT imaging auxiliary diagnosis software in Thoracic CT in Patients being Evaluated for Possible Lung Cancer (AI) | Guoqing Lian | Beijing Yizhun Medical AI Technology Co. ,Ltd. | NLST | Aug 6, 2021 | NLST-827 |
| Deep learning Cancer Diagnosis | Kang Li | Harbin Medical University | NLST | Aug 6, 2021 | NLST-826 |
| Invasive Procedures and Associated Complications Following Initial Lung Cancer Screening in a National Cohort of Veterans. | Eduardo Nunez | Boston University | NLST | Jul 26, 2021 | NLST-822 |
| Cancer Detec - Lung Cancer Diagnosis Support System | Nelson Faria | Polytechnic Institute of Cávado and Ave | NLST | Jul 22, 2021 | NLST-818 |
| Deep learning based assessment of vascular aging to improve prognostication in patients at risk for lung cancer | Jakob Weiss | University Hospital Freiburg | NLST | Jul 15, 2021 | NLST-816 |
| Early detection of lung cancer by excavating the bit planes of a LDCT scan | Swapan Chakrabarti | Immersion 3D Plus, LLC. | NLST | Jul 15, 2021 | NLST-815 |
| Modeling lung cancer risk with Gradient-Boosted Decision-Trees | Jean-Emmanuel Bibault | INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France | NLST | Jul 15, 2021 | NLST-814 |
| Development and Validation by deep learning–assisted of predicting growth of persistent pulmonary Ground-Glass nodules | Yi Liu | Beijing Chao-Yang Hospital | NLST | Jul 15, 2021 | NLST-811 |
| Deep Learning systems for detection of nodules and for simulation of new nodule training data. | Keelin Murphy | Radboud University Medical Center | NLST | Jul 2, 2021 | NLST-812 |
| Investigating the association between cancer-cell epithelial-to-mesenchymal transition and the location of immune cells in lung adenocarcinoma based on pathology images | Xuefei Li | CAS Key Laboratory for Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology， Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences | NLST | Jul 2, 2021 | NLST-807 |
| Development and validation of prognostic models of lung cancer | Thomas Callender | University College London | NLST | Jun 21, 2021 | NLST-806 |
| Evaluation of a deep-learning algorithm to assist in the detection of features suggestive of lung cancer on chest x-rays. | Gaetan Dissez | behold.ai | NLST | Jun 14, 2021 | NLST-799 |
| Survival analysis of Histopathology | Huang rungen | Hangzhou Dianzi University | NLST | Jun 14, 2021 | NLST-797 |
| Extraction and screening of early-onset non-small cell carcinoma patients with CT influence to predict tumor consistency and mutation | 明威 陈 | Guilin University of Electronic Technology | NLST | Jun 14, 2021 | NLST-803 |
| Development of diagnostic support software to aid clinical decision-making for lung disease | Michael Calhoun | Precision Medical Ventures, Inc. | NLST | Jun 14, 2021 | NLST-800 |
| Self-Supervised Multimodal Medical Image Analysis | Cristian Simionescu | Alexandru Ioan Cuza University | NLST | May 21, 2021 | NLST-796 |
| Application for accessing NLST pathology images to validate the proposed prognostic modeling method | Pei Liu | UESTC | NLST | May 21, 2021 | NLST-795 |
| Identifying histological features of lung cancer using deep learning | Jennifer Beane | Trustees of Boston University | NLST | May 11, 2021 | NLST-794 |
| survival analysis | yifan shen | Beijing University of Posts and Telecommunications | NLST | May 7, 2021 | NLST-788 |
| Validation of pre-trained deep learning algorithms on NLST data. | Ammar Jagirdar | Qure.ai | NLST | May 7, 2021 | NLST-793 |