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 |
|---|---|---|---|---|---|
| PrePCa: Prostate Cancer Prediction Based on Multimodal Data | Maria Dech Pons | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | PLCO | Dec 9, 2024 | PLCO-1760 |
| Trustworthy Deep Learning Models for Calcification Assessment in Radiotherapy CT using NLST Data | Ivana Isgum | Amsterdam University Medical Center | NLST | Dec 4, 2024 | NLST-1362 |
| Nonparametric Percentile Curve Estimation for Prostate-Specific Antigen | Oke Gerke | Odense University Hospital | PLCO | Dec 4, 2024 | PLCO-1754 |
| An artificial intelligence tool for therapeutic optimization in early invasive breast cancer patients. | Grégoire Gessain | Spotlight Medical | PLCO | Dec 4, 2024 | PLCOI-1753 |
| A nested case-control study from NLST to evaluate a multiplex protein biomarker-based immunoassay for the early detection of bladder cancer | Charles Rosser | Cedars-Sinai Medical Center | NLST | Nov 21, 2024 | NLST-1360 |
| Chest CT Radiomics and Outcomes | Sadeer Al-Kindi | Houston Methodist Research Institute | NLST | Nov 21, 2024 | NLST-1359 |
| Artificial Intelligence-Driven Models for Predicting Prognosis in Non-Small Cell Lung Cancer in Egypt with a Global Comparison | Nourhan Mohamed | Medical Research Institute | PLCO | Nov 21, 2024 | PLCOI-1748 |
| Improving risk stratification for lung cancer screening using peripheral blood leukocyte DNA methylation: an investigation in the National Lung Screening Trial (NLST) | Dominique Michaud | Tufts University | NLST | Nov 19, 2024 | NLST-1358 |
| Use of Breast Cancer Risk Reducing Medications | Paul Pinsky | National Institutes of Health | PLCO | Nov 19, 2024 | PLCO-1749 |
| Detection of lung disease using deep learning | Himanshu Joshi | Drongo AI pvt LTD | PLCO | Nov 15, 2024 | PLCOI-1747 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | MAYO | Nov 14, 2024 | MAYO-5 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | JHLP | Nov 14, 2024 | JHLP-4 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | MINN | Nov 14, 2024 | MINN-6 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | MEM | Nov 14, 2024 | MEM-7 |
| Surrogate endpoints for cancer screening trials | Adam Brentnall | Queen Mary University of London | HIPB | Nov 14, 2024 | HIPB-15 |
| Improved Methods for Comparing Human Radiologists to AI tools | Ashesh Rambachan | Massachusetts Institute of Technology | NLST | Nov 12, 2024 | NLST-1357 |
| 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 |
| Exploring Multimodal Factors Influencing Breast Cancer Risk: A Data-Driven Approach | Oliver Díaz | Universitat de Barcelona | PLCO | Nov 12, 2024 | PLCO-1742 |
| 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 |