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 |
|---|---|---|---|---|---|
| Body fat distribution and risk of colorectal cancer in the PLCO cohort | Shun Zhang | Shanghai East Hospital, School of Medicine, Tongji University | PLCO | Nov 7, 2024 | PLCO-1736 |
| Predicting Lung Nodule Growth Using Deep Learning Methods | gao dong chen | Shan Dong University | NLST | Nov 5, 2024 | NLST-1354 |
| Using deep learning models to infer spatial transcriptomics from H&E slides | Eytan Ruppin | Cancer Data Science Laboratory, NCI | NLST | Nov 5, 2024 | NLST-1353 |
| Radiomics-Driven Predictive Lung Cancer Models | Patrice Essien | George Washington University | NLST | Nov 5, 2024 | NLST-1347 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | NLST | Nov 5, 2024 | NLST-1345 |
| Analysis of Chest X-rays Based on Deep Learning for Health Risk Assessment | Yu Fei Huang | China Medical University | NLST | Nov 5, 2024 | NLST-1351 |
| Quantification of Interstitial Lung Abnormalities Using Data from the National Lung Screening Trial | Hyungjin Kim | Seoul National University Hospital | NLST | Nov 5, 2024 | NLST-1350 |
| Combined model integrating pericardial fat and tumor radiomics with clinical data to classify pulmonary nodules: A multicentric analysis | Wenjuan Huang | Harbin medical university cancer hospital | NLST | Nov 5, 2024 | NLST-1346 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | LSS | Nov 5, 2024 | LSS-9 |
| Prostate Cancer Screening using Machine Learning | Jerry John Rawlings Mensah | Virginia Commonwealth University | PLCO | Nov 5, 2024 | PLCO-1732 |
| Analysis of Chest X-rays Based on Deep Learning for Health Risk Assessment | Yu Fei Huang | China Medical University | PLCO | Nov 5, 2024 | PLCOI-1730 |
| Association of dietary fat intake and sedentary time with ovarian cancer risk | Bingyan Li | Soochow University | PLCO | Nov 5, 2024 | PLCO-1726 |
| Science Fair | Caspar McNulty | Swanson Middle School | PLCO | Nov 5, 2024 | PLCO-1725 |
| Association Between Protein Diet Score And Colorectal Adenoma Risk: A Prospective Study | Haitao Gu | The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. | PLCO | Nov 5, 2024 | PLCO-1724 |
| Development of Models for Predicting Clinical Outcomes from H&E Stained Whole Slide Images | Zoltan Szallasi | Boston Children's Hospital | PLCO | Nov 5, 2024 | PLCOI-1720 |
| Pan-cancer analysis of inflammatory diet, tumor immune infiltration, and survival | QianXue Wu | Chongqing Medical University | PLCO | Nov 5, 2024 | PLCOI-1718 |
| The growing incidence of of colorectal cancer among those under 55 years age in The United States | Harrinique Deveaux | Florida State University | PLCO | Nov 5, 2024 | PLCO-1727 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | PLCO | Nov 5, 2024 | PLCO-1719 |
| Framework for quantifying the effects of screening interventions using intermediate trial outcomes | Vichithranie Madurasinghe | University of Warwick | NLST | Oct 21, 2024 | NLST-1344 |
| Deep Learning-Based Coronary Calcification Risk Prediction: A Clinical Application Study Using the NLST Dataset | Qian Tan | South China University of Technology | NLST | Oct 21, 2024 | NLST-1343 |