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 |
|---|---|---|---|---|---|
| Investigation of alternative screening trial endpoints | Phil Prorok | NCI | NLST | Apr 5, 2021 | NLST-779 |
| Adolescent and adulthood BMI And Cancer risk using obese-year metrics: the ABACus 2 project | Andrew Renehan | University of Manchester | PLCO | Mar 30, 2021 | PLCO-752 |
| Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes | Michal Kucer | Triad National Security, LLC | NLST | Mar 30, 2021 | NLST-778 |
| Multimodal patient predictions | Javier Alvarez Valle | Microsoft | NLST | Mar 30, 2021 | NLST-776 |
| Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification | Ashish Gautam | KardioLabs LLC | NLST | Mar 30, 2021 | NLST-774 |
| Machine Learning for Lung Nodule Detection and Diagnosis Classification | Mehmet Kaya | Florida Institute of Technology | NLST | Mar 30, 2021 | NLST-777 |
| When to schedule the first screening for women's ovarian cancer based on her age and other parameters? | Dongfeng Wu | University of Louisville Research Foundation, Inc. | PLCO | Mar 30, 2021 | PLCO-758 |
| Development of new predictive energy equations in adults aged 65-79 years and ≥80 years | Judi Porter | Deakin University | IDATA | Mar 23, 2021 | IDATA-42 |
| Data-driven mathematical modeling approach for estimating lesion potency in lung cancer | Souvik Roy | University of Texas at Arlington | NLST | Mar 22, 2021 | NLST-773 |
| 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 |
| Use machine learning and deep learning combined with multiparameter to avoid unnecessary biopsy | Andrew Cao | Independent | PLCO | Mar 16, 2021 | PLCO-746 |
| Geographic variation of the oral microbiome in the United States: A spatial analysis in three prospective cohorts | Ian Buller | National Cancer Institute | PLCO | Mar 15, 2021 | PLCO-749 |
| Prediction of Breast Cancer treatment using demographic ingormation | jonathan synarong | Lewis University | PLCO | Mar 15, 2021 | PLCO-745 |
| Application of deep learning to automate detection of lung nodules on single and serial chest radiographs | Kartik Varadarajan | Visionairy Health Inc. | PLCO | Mar 15, 2021 | PLCOI-748 |
| Dysanapsis and lung cancer | Benjamin Smith | The Trustees of Columbia University in the City of New York | NLST | Mar 10, 2021 | NLST-768 |
| Automated assessment of cardiovascular disease risk from CTs using deep learning | Shazia Akbar | Altis Labs, Inc. | NLST | Mar 10, 2021 | NLST-770 |
| Development of clinically applied recurrence prediction model through artificial intelligence | Sung Yong Kim | Infinitt Healthcare co,ltd | NLST | Mar 10, 2021 | NLST-767 |
| Boundary tracing | Mohsen Rezapour | The University of Texas, Health Science center at Houston | PLCO | Mar 9, 2021 | PLCO-699 |
| Non-Genetic Risk Factors for Endometrial Cancer | Surabhi Sajith | BASIS Ahwatukee | PLCO | Mar 9, 2021 | PLCO-743 |
| Transfer Learning for Male Breast Cancer | Lawrence Fulton | Texas State University | PLCO | Mar 9, 2021 | PLCOI-742 |