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 |
---|---|---|---|---|---|
Predicting Mortality and Causes from Chest CT Images | david wilson | UPMC | NLST | Mar 9, 2021 | NLST-762 |
Predicting mortality risk using cardiac LDCT regions | chen yingchi | National Yang Ming Chiao Tung University | NLST | May 16, 2024 | NLST-1255 |
Predicting outcome of lung cancer patients using deep learning | HÃ¥vard Danielsen | Oslo University Hospital | NLST | Mar 22, 2021 | NLST-772 |
Predicting overall survival using CT and pathological image features | Peng Huang | Johns Hopkins University | NLST | Apr 21, 2016 | NLST-214 |
Predicting patient outcomes with machine learning of cancer histopathology images | Moritz Gerstung | EMBL-EBI | PLCO | Mar 21, 2019 | PLCO-463 |
Predicting Progression of Lung Lesions on CT scans | Sendhil Mullainathan | University of Chicago | NLST | Sep 6, 2019 | NLST-560 |
Predicting Prostate cancer Tissue type with machine learning | Md. Salman Karim Khan | Chittagong Medical College | PLCO | Jan 17, 2024 | PLCO-1450 |
Predicting Pulmonary Function Abnormalities with a Texture-Based Quantification of Normal Lung Parenchyma in Chest Computed Tomography | Alysson Carvalho | ID'Or Institute Research and Education | NLST | Apr 2, 2024 | NLST-1223 |
Predicting risk of cancer in 12 sites using the screened arm of the PLCO | Grant Izmirlian | National Cancer Institute | PLCO | Apr 5, 2021 | PLCO-762 |
Predicting survival and molecular expression from histological images in lung cancer | Gil Shamai | Technion Research and Development Foundation Ltd | NLST | Nov 17, 2020 | NLST-727 |
Predicting the location and interval of lung nodule occurrence from low-dose CT | Matthew Blackledge | Institute of Cancer Research | NLST | Apr 4, 2019 | NLST-493 |
Predicting time to castration resistance in hormone sensitive prostate cancer | Ari Robinson | The Institute for Medical BioMathematics (IMBM) | PLCO | Oct 22, 2020 | PLCO-677 |
Predicting Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas from CT Scan with 3D Convolutional Neural Networks | Ming Li | Huadong hospital | NLST | Apr 20, 2018 | NLST-403 |
Predicting vertebral fractures from density heterogeneity | Yener Yeni | Henry Ford Health System | NLST | Mar 1, 2010 | 201003-0002 |
Prediction of abnormalities in Chest X-Rays with deep learning techniques | Sasa Grbic | Siemens Medical Solutions | NLST | Apr 9, 2018 | NLST-397 |
Prediction of abnormalities in Chest X-Rays with Machine learning techniques | Sasa Grbic | Siemens Medical Solutions | PLCO | Oct 10, 2017 | PLCO-311 |
Prediction of Absolute Risk of Ovarian and Endometrial Cancer | Sokbom Kang | National Cancer Center, Korea | PLCO | Aug 22, 2022 | PLCO-1023 |
Prediction of a cancer in R language | Lucia Plichtova | University of Zilina - Slovakia | PLCO | Oct 12, 2017 | PLCO-313 |
Prediction of an individual's smoking habits using saliva microbial signatures | Manfred Kayser | Erasmus MC Medical Center University Rotterdam | PLCO | Jul 17, 2020 | PLCO-647 |
Prediction of Breast Cancer treatment using demographic ingormation | jonathan synarong | Lewis University | PLCO | Mar 15, 2021 | PLCO-745 |