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 |
---|---|---|---|---|---|
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 |
Clinical Research Education application of the NLST data | Kenneth Christopher | Harvard Medical School | NLST | Apr 12, 2021 | NLST-781 |
Distribution of NLST imaging and limited clinical data through NCI public image repositories | Keyvan Farahani | National Cancer Institute | NLST | Apr 12, 2021 | NLST-780 |
Investigation of alternative screening trial endpoints | Phil Prorok | NCI | NLST | Apr 5, 2021 | NLST-779 |
Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes | Michal Kucer | Triad National Security, LLC | NLST | Mar 30, 2021 | NLST-778 |
Survival Prediction | Ye Yue | Shanghai Jiao Tong University | NLST | Mar 30, 2021 | NLST-775 |
Multimodal patient predictions | Javier Alvarez Valle | Microsoft | NLST | Mar 30, 2021 | NLST-776 |
Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification | Ashish Gautam | KardioLabs LLC | NLST | Mar 30, 2021 | NLST-774 |
Machine Learning for Lung Nodule Detection and Diagnosis Classification | Mehmet Kaya | Florida Institute of Technology | NLST | Mar 30, 2021 | NLST-777 |
Data-driven mathematical modeling approach for estimating lesion potency in lung cancer | Souvik Roy | University of Texas at Arlington | NLST | Mar 22, 2021 | NLST-773 |
Predicting outcome of lung cancer patients using deep learning | Andreas Kleppe | Institute for Cancer Genetics and Infomatics, Oslo University Hospital | NLST | Mar 22, 2021 | NLST-772 |
Deep Learning for Whole Slide Image and Clinical Outcome Analysis in Lung Cancer Patients | Min Yuan | Anhui Medical University | NLST | Mar 22, 2021 | NLST-771 |
Dysanapsis and lung cancer | Benjamin Smith | The Trustees of Columbia University in the City of New York | NLST | Mar 10, 2021 | NLST-768 |
Automated assessment of cardiovascular disease risk from CTs using deep learning | Shazia Akbar | Altis Labs, Inc. | NLST | Mar 10, 2021 | NLST-770 |
Development of clinically applied recurrence prediction model through artificial intelligence | Sung Yong Kim | Infinitt Healthcare co,ltd | NLST | Mar 10, 2021 | NLST-767 |