Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| Identifying histological features of lung cancer using deep learning | Jennifer Beane | Trustees of Boston University | NLST | May 11, 2021 | NLST-794 |
| 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 |
| Image Synthesis for Data Augmentation in Medical CT using Deep Learning | Klaus Mueller | Stony Brook University | NLST | Apr 21, 2021 | NLST-787 |
| 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 |
| 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 |
| Dysanapsis and lung cancer | Benjamin Smith | The Trustees of Columbia University in the City of New York | NLST | Mar 10, 2021 | NLST-768 |