Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| A Study of effect of decreasing air-pollution on lung cancer cases and their conditions | Satish Chandra | Jaypee Institute of Information Technology | PLCO | May 16, 2018 | PLCO-364 |
| Nodule malignancy prediction using deep learning and advanced statistics | Miguel Angel Gonzalez Ballester | UPF | NLST | May 15, 2018 | NLST-412 |
| Detection of pulmonary nodules and reduction of the false positive rate | Hsin-Ming Chen | National Taiwan University Hospital | NLST | May 7, 2018 | NLST-411 |
| Development of tools for segmentation and classification of lung imaging data | Amir Amini | University of Louisville Research Foundation, Inc. | NLST | May 7, 2018 | NLST-410 |
| Telomere Length Studies in PLCO | Shahinaz Gadalla | National Institute of Health | PLCO | May 1, 2018 | 2017-1019 |
| feature selection in lung cancer CT image | Noura ABOUDI | National School of Carthage Engineers | NLST | Apr 30, 2018 | NLST-404 |
| Ensemble Learners for Boosted Explanatory Predictive Model of Lung Cancer Outcomes | Ahmed Hassoon | Johns Hopkins Bloomberg School of Public Health | NLST | Apr 27, 2018 | NLST-407 |
| Machine Learning based lung nodule detection and malignancy prediction from low dose computed tomography (LDCT) images | Tina Kapur | Brigham and Women's Hospital | NLST | Apr 26, 2018 | NLST-408 |
| The usage of machine learning algorithms in predicting mortality among cancer patients. | Dawid Siwicki | University of Warsaw | NLST | Apr 23, 2018 | NLST-405 |
| Machine learning for classification of thyroid cancer | Norah Alghamdi | PNU | PLCO | Apr 18, 2018 | PLCO-363 |
| Algorithm development on lung medical image | Jingya Liu | City College of New York, City University of New York | NLST | Apr 17, 2018 | NLST-401 |
| Pulmonary Nodule Detection in Lung CT Images using Deep Learning Networks | Tsvi Lev | NEC Corporation of America (Israeli Research Labs) | NLST | Apr 17, 2018 | NLST-400 |
| Estimation of natural progression and survival rates for lung cancer based on NLST project | Sherry Yueh-Hsia CHIU | Chang Gung University | NLST | Apr 17, 2018 | NLST-358 |
| Characterizing Free-Living Stepping Behavior | Kate Lyden | KAL Research|Consulting, PAL Technologies | IDATA | Apr 16, 2018 | IDATA-21 |
| Understanding comorbidities that contribute to drug response in ovarian cancer | Sara Cooper | HudsonAlpha Institute for Biotechnology | PLCO | Apr 13, 2018 | PLCO-362 |
| Image retrieval and automatic preliminary diagnosis of chest X-ray radiographs | Jogundas Armaitis | Oxipit, UAB | PLCO | Apr 13, 2018 | PLCO-360 |
| Mechanisms of obesity in liver cancer development | Katherine McGlynn | National Cancer Institute | PLCO | Apr 12, 2018 | 2017-1021 |
| Deep learning for early diagnosis of lung cancer using low-dose CT scans | Safak Yakti | Binghamton University | NLST | Apr 9, 2018 | NLST-398 |
| Prediction of abnormalities in Chest X-Rays with deep learning techniques | Sasa Grbic | Siemens Medical Solutions | NLST | Apr 9, 2018 | NLST-397 |
| Artificial Intelligence in Oncology | Scott Johnson | Varian | NLST | Apr 9, 2018 | NLST-399 |