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 |
|---|---|---|---|---|---|
| Detection and prognosis of lung cancer with deep learning | Daniel Truhn | RWTH Aachen University | NLST | Apr 16, 2019 | NLST-500 |
| Cisco Validated Design reference architecture for SAS Artificial Intelligence / Machine Learning | Andrew Lockhart | SAS | NLST | Apr 13, 2019 | NLST-499 |
| Evaluating genetic, clinical, and environmental risk factors for second primary lung cancer | Summer Han | Stanford University | NLST | Apr 13, 2019 | NLST-498 |
| Automatic Coronary Calcium Scoring on both chest and cardiac CT using deep learning | Yufeng Deng | Infervision US Inc. | NLST | Apr 9, 2019 | NLST-496 |
| Machine learning based lung cancer identification and characterization | Richard Vlasimsky | IMIDEX | NLST | Apr 5, 2019 | NLST-495 |
| Predicting the location and interval of lung nodule occurrence from low-dose CT | Matthew Blackledge | Institute of Cancer Research | NLST | Apr 4, 2019 | NLST-493 |
| Out of pocket costs associated with Lung Cancer Screening | Daniel Reuland | University of North Carolina at Chapel Hill Comprehensive Cancer Center | NLST | Apr 2, 2019 | NLST-492 |
| Optimize radiological workflows with automated diagnostics | Daniel Drieling | MeVis Medical Solutions AG | NLST | Mar 29, 2019 | NLST-491 |
| Quantitative CT Analysis to Predict Future Lung Cancer | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Mar 29, 2019 | NLST-490 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | NLST | Mar 6, 2019 | NLST-487 |
| Machine Learning Classification of Nodules | Michal Lada | University of Rochester | NLST | Feb 19, 2019 | NLST-484 |
| Lung cancer case prioritization tool with automated CT scan classification | Ramune Dauksaite | Birkbeck College, University of London | NLST | Feb 19, 2019 | NLST-483 |
| Prediction of NSCLS from CT scan and habitual data of a person after two years by using CNN and LSTM machine learning techniques | Mayur Munshi | University of Manchester | NLST | Feb 14, 2019 | NLST-481 |
| Therapixel-AI | Stephanie Lopez | Therapixel | NLST | Feb 5, 2019 | NLST-478 |
| Incorporating gender differences in lung cancer screening | Kevin ten Haaf | Erasmus MC | NLST | Feb 4, 2019 | NLST-480 |
| Data-driven Imaging Biomarker (DIB) study in NLST datasets | Ki Hwan Kim | Lunit | NLST | Feb 1, 2019 | NLST-474 |
| Automatic heart segmentation using machine learning techniques | Julian Bernard | LARALAB UG | NLST | Jan 31, 2019 | NLST-477 |
| Evaluating the Potential for Biomarker Use in CT Screening | Hilary Robbins | International Agency for Research on Cancer (IARC) | NLST | Jan 31, 2019 | NLST-476 |
| Screening for Heart Disease by Coronary Calcium | Ryan Chamberlain | Imbio, LLC | NLST | Jan 29, 2019 | NLST-473 |
| Multi-Modal Deep Learning for Predicting Screening Outcome from Imaging and Structured Data | Rebecca Simpson | J&B Engineering | NLST | Jan 24, 2019 | NLST-472 |