Approved Projects
Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Lung nodule screening on CT images | Charubutr Asavaroengchai | A.I.Brain Co., Ltd | NLST | Nov 19, 2018 | NLST-453 |
| Lung Nodule Segmentation and Cancerous Nodule Detection using A Deep Learning Approach | Zhou Ren | University of California, Los Angeles | NLST | Dec 7, 2015 | NLST-180 |
| lung nodule segmentation and shape analysis | DI XU | University of California, Los Angeles | NLST | Jan 18, 2023 | NLST-1011 |
| Lung PROSPR Research Center NLST Project | Debra Ritzwoller | Kaiser Permanente Institute for Health Research | NLST | Sep 25, 2018 | NLST-443 |
| Lung Scarring and Pulmonary Fibrosis Among Abnormal Suspicious Lung Screens | Matthew Freedman | Georgetown University | PLCO | Jul 1, 2006 | 2006-0093 |
| Lung Screening Abnormalities | Mangayarkarasi R | Vellore Institute of Technology - Vellore | PLCO | Jan 6, 2025 | PLCO-1780 |
| Lung Screening: Efficacy versus Effectiveness | Ilana Gareen | Brown University | NLST | Apr 29, 2019 | NLST-505 |
| Lung Screening Using Data Synthesis and Explainable Artificial Intelligence | Matthew Hamilton | Memorial University of Newfoundland | NLST | Sep 14, 2021 | NLST-830 |
| Lung segmentation analysis tool | Olivier Joly | Brainomix | NLST | Dec 11, 2020 | NLST-733 |
| Lung Tumor Diagnostics with Machine Learning | Samuel Franklin | N/A | NLST | Aug 2, 2016 | NLST-232 |
| Lung tumor early detection and prognosis with machine learning approach | Tengfei Li | University of North Carolina at Chapel Hill | NLST | Mar 16, 2020 | NLST-649 |
| Lung volume and dimensions (height) correlation to population characteristics (BMI, Age, sex, race, height). | Anat Shani | Sensible-Medical | NLST | Sep 3, 2015 | NLST-156 |
| Machine Learning algorithm development for lung cancer subtype identification and survival prediction | JUNZHOU HUANG | University of Texas at Arlington | NLST | Jun 30, 2015 | NLST-141 |
| Machine Learning Analysis for Lung Cancer Progression | Anderson Nnewihe | Johnson & Johnson Enterprise Innovation, Inc. | NLST | Oct 18, 2022 | NLST-973 |
| Machine Learning Application of Cancer Data Analysis | Mochen Li | Purdue University | PLCO | Nov 13, 2019 | PLCO-552 |
| Machine Learning Applications in Colorectal Cancer Data Analysis: A Comprehensive Investigation | Richa Sharma | Arkus AI | PLCO | Oct 31, 2023 | PLCO-1373 |
| Machine Learning approach for the analysis of lung cancer data to aid the radiologists at global level | Tiratharaj Singh | Jaypee University of Information Technology (JUIT) | NLST | Nov 12, 2024 | NLST-1355 |
| Machine learning-based approaches for risk calculation | Alex Bui | UCLA | PLCO | Oct 11, 2016 | PLCO-235 |
| Machine learning based Computer Aided Diagnosis system for Chest X-Ray images | Agnese Marchesi | Istituto Italiano di Tecnologia (IIT) | PLCO | Jun 19, 2018 | PLCO-371 |
| Machine learning based lung cancer identification and characterization | Richard Vlasimsky | IMIDEX | NLST | Apr 5, 2019 | NLST-495 |