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 |
|---|---|---|---|---|---|
| Dynamic Risk Prediction of Prostate Cancer Development Using Longitudinal Biomarkers of PSA | Ming Wang | The Pennsylvania State University | PLCO | Apr 20, 2021 | PLCO-775 |
| Dysanapsis and lung cancer | Benjamin Smith | The Trustees of Columbia University in the City of New York | NLST | Mar 10, 2021 | NLST-768 |
| Early Biomarkers in Ovarian Cancer | Jean Reiss | David Geffen School of Medicine at UCLA | PLCO | Jul 1, 2006 | 2006-0220 |
| Early Body Composition Adaptations in Lung Cancer Patients | Michael Toth | University of Vermont | NLST | Oct 31, 2023 | NLST-1152 |
| Early Detection and Personalized Treatment of Colon Cancer: Integrating Genetic, Demographic, and Lifestyle Data | JULIET KURUVILLA | HOWARD UNIVERSITY | PLCO | Jan 26, 2024 | PLCO-1460 |
| Early Detection and Prognosis of Lung Cancer | Yun Li | UNC Chapel Hill | NLST | Dec 2, 2016 | NLST-262 |
| Early Detection of Breast Cancer with AI enhanced workflows | Dr. Tariq Mahmood | Institute of Business Administration | PLCO | Mar 13, 2024 | PLCO-1496 |
| Early Detection of Lung Cancer | Moeez Qaiser | National University of Sciences and Technology | NLST | Jul 26, 2024 | NLST-1299 |
| Early detection of lung cancer by excavating the bit planes of a LDCT scan | Swapan Chakrabarti | Immersion 3D Plus, LLC. | NLST | Jul 15, 2021 | NLST-815 |
| Early Detection of Lung Cancer Using Machine Learning: Creating Algorithms to Identify CT Scans of Lung Cancer Nodules | Michael Blueglass | Yorktown High School | NLST | Jun 14, 2016 | NLST-225 |
| Early detection of lung cancer with deep learning and graph databases | Rafael Berlanga | Universitat Jaume I | NLST | Nov 6, 2017 | NLST-370 |
| Early Detection of Ovarian Cancer Using Proteomic Analysis of Pre-diagnostic Serum Samples Collected in the PLCO Trial | Lee Moore | NCI, DCEG, OEEB | PLCO | 2006-0300 | |
| Early detection of ovarian cancer via biomarkers using Machine Learning techniques | Kritika Murali | MIT Art Design and Technology University | PLCO | Dec 8, 2022 | PLCO-1124 |
| Early Detection of Ovarian Cancer with Interpretable AI | Weitong Huang | The Australian National University | PLCO | Mar 2, 2022 | PLCO-933 |
| Early Diagnosis of Asthma, Thyroid Cancer and Schizophrenia Diseases Using Computational Intelligence Techniques | Sarah Alotaibi | IAU | PLCO | Mar 20, 2020 | PLCO-603 |
| Early diagnosis of lung cancer applying deep neural networks using computerized tomography images | Jonathan Domínguez | CIDESI | NLST | Oct 25, 2017 | NLST-368 |
| Early Prediction of Ovarian Cancer from Images along with Some Blood Biomarkers Using Machine Learning | Laboni Akter | Khulna University of Engineering and Technology | PLCO | May 12, 2020 | PLCOI-620 |
| Early Prediction of Pancreatic Cancer Using Data Analysis Techniques in IBM SPSS Modeler | Iñigo Monedero Goicoechea | University of Seville | PLCO | Jul 11, 2025 | PLCO-1951 |
| Early Prediction of Prostate Cancer in Young and Middle-Aged Adults | Trent Arney | University of Arkansas | PLCO | Aug 22, 2023 | PLCO-1302 |
| Early-Stage Inference on Cancer Survival Rates in the NLST Trial | Jeffrey T. Leek | Fred Hutchinson Cancer Center | NLST | Sep 9, 2025 | NLST-1468 |