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 |
|---|---|---|---|---|---|
| Predicting how the ROCA algorithm would have performed in PLCO | Paul Pinsky | NCI, DCP, EDRG | PLCO | May 19, 2011 | 2011-0089 |
| Predicting Late Stage Cancer | Paul Pinsky | NCI | PLCO | Jan 25, 2021 | PLCO-727 |
| Predicting lung cancer from chest radiography features | Ashwini Suriyaprakash | Independent | NLST | Aug 7, 2017 | NLST-334 |
| Predicting lung cancer from clinical data and evaluating simulated screening programs | Adam Yala | The Regents of the University of California, on behalf of its Berkeley campus | PLCO | Sep 5, 2023 | PLCO-1316 |
| Predicting lung cancer patient outcomes using pathological imaging | Yang Xie | UT Southwestern Medical Center | NLST | Mar 6, 2014 | NLST-62 |
| Predicting lung cancer prognosis with deep learning | Francesco Ciompi | Radboud University Medical Center | NLST | Jun 30, 2017 | NLST-325 |
| Predicting lung cancer recurrence with machine learning | Flavio Calmon | Harvard University | NLST | Sep 10, 2019 | NLST-567 |
| Predicting lung cancer recurrence with machine learning | Flavio Calmon | Harvard University | PLCO | Sep 20, 2019 | PLCOI-522 |
| Predicting Lung Cancer Treatment Using an End to End 3D Serial Imaging CNN Model | Amy Li | Princeton University | NLST | Dec 11, 2019 | NLST-618 |
| Predicting medical outcomes using deep learning with CT chest images | Lyle Palmer | University of Adelaide | NLST | Jun 8, 2017 | NLST-311 |
| 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 Mutational Landscapes from H&E Slides in Population-Based Cohorts | Tongwu Zhang | National Cancer Institute | PLCO | Jul 11, 2025 | PLCOI-1942 |
| Predicting Mutational Landscapes from H&E Slides in Population-Based Cohorts | Guangyu Wang | Houston Methodist Research Institute (HMRI) | PLCO | Jul 28, 2025 | PLCOI-1952 |
| Predicting outcome of lung cancer patients using deep learning | Andreas Kleppe | Institute for Cancer Genetics and Infomatics, 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 Pancreatic Cancer Using Machine Learning and Neural Networks | Isaac Schwabe | University of Reading | PLCO | Jan 27, 2025 | PLCO-1801 |
| 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 |