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 |
---|---|---|---|---|---|
Exploring Multimodal Factors Influencing Breast Cancer Risk: A Data-Driven Approach | Oliver Díaz | Universitat de Barcelona | PLCO | Nov 12, 2024 | PLCO-1742 |
Development and validation of a prediction model for colorectal cancer prognosis | Ching Wai Krista Chung | The University of Hong Kong | PLCO | Nov 12, 2024 | PLCO-1741 |
A Hybridized machine learning based survival prediction of ovarian cyst | Ovoh Oghenefego | Delta State University Abraka | PLCO | Nov 12, 2024 | PLCO-1740 |
Identifying Survival Phenotypes in High-Grade Serous Ovarian Cancer by Application of AI to Digital Pathology | Ernst Lengyel | University of Chicago | PLCO | Nov 12, 2024 | PLCOI-1737 |
The correlation between Fat Quality Index and the risk of upper gastrointestinal cancer in the American population: a prospective cohort study | Yi Xiao | The Second Affiliated Hospital of Chongqing Medical University | PLCO | Nov 7, 2024 | PLCO-1733 |
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 |
Comparing the accuracy of machine learning diagnosis of lung cancer from different data modalities | Polina Golland | Massachusetts Institute of Technology | NLST | Nov 5, 2024 | NLST-1349 |
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 |