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 |
---|---|---|---|---|---|
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 |
Optimizing lung cancer treatments from public clinical trial data | Shimon Sheiba | Causalis.ai | NLST | Apr 22, 2021 | NLST-729 |
Lung nodule detection technology based on weak supervised learning | Rain Leo | ZhengZhou University | NLST | Apr 21, 2021 | NLST-789 |
Image Synthesis for Data Augmentation in Medical CT using Deep Learning | Klaus Mueller | Stony Brook University | NLST | Apr 21, 2021 | NLST-787 |
Coronary calcium scoring assessment | Hunter GAO | Philips | NLST | Apr 21, 2021 | NLST-784 |
Survival Analysis for Whole Slide Images based on Multiple Instance Learning | Wei Wu | Xiamen University | NLST | Apr 21, 2021 | NLST-786 |
Multimodal Data Fusion of Radiomic, Pathomic, and Semantic Features to Classify Pulmonary Nodules | William Hsu | David Geffen School of Medicine at UCLA | NLST | Apr 19, 2021 | NLST-785 |