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 |
---|---|---|---|---|---|
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 |
Plant-based diet and the risk of pancreatic cancer in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial | Guo-Chao Zhong | The Second Affiliated Hospital of Chongqing Medical University | PLCO | Mar 30, 2021 | PLCO-755 |
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 |
Deep Learning for Whole Slide Image and Clinical Outcome Analysis in Lung Cancer Patients | Min Yuan | Anhui Medical University | NLST | Mar 22, 2021 | NLST-771 |
Dairy consumption and risk of esophageal cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial | Tingting Wang | Department of Nurtrition, First Affiliated Hospital, School of Medicine, Zhejiang University | PLCO | Mar 16, 2021 | PLCO-750 |
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 |
Interactions of lifestyle factors and polygenic risk score in colorectal neoplasm | Li Liu | Huazhong University of Science and Technology | PLCO | Mar 9, 2021 | PLCO-740 |