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Approved Projects

Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.

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Results: 2581 (Showing 941 to 960)
Name Principal Investigator Institution Study Date Approved Project ID
Evaluation of a Lung Lesion Detection Tool Hajime Sasaki Hitachi Lyon Lab, Hitachi Medical Systems S.A.S. NLST Dec 18, 2020 NLST-736
Lung segmentation analysis tool Olivier Joly Brainomix NLST Dec 11, 2020 NLST-733
Dietary biomarker development in the Interactive Diet and Activity Tracking in AARP Study Erikka Loftfield National Cancer Institute IDATA Dec 11, 2020 2020-1014
Image Analysis of Lung CT Images Kevin Bowyer University of Notre Dame NLST Dec 8, 2020 NLST-731
Identifying risk factors associated with metastatic progression from non-metastatic primary lung cancer among NLST lung cancer patients Summer Han Stanford University NLST Dec 8, 2020 NLST-732
Genome-wide Association Study of Colorectal Cancer Using Penalized Orthogonal Components Regression Min Zhang Purdue University PLCO Dec 2, 2020 PLCO-697
HDoCS in PLCO: Health Disparities of Cancer Survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Jacqueline Vo National Cancer Institute PLCO Dec 2, 2020 PLCO-696
Deep learning for identification of spread through air spaces (STAS) and prediction of survival of lung adenocarcinoma using pathology images I-Fang Chung Institute of Biomedical Informatics, National Yang-Ming University, Taiwan NLST Dec 2, 2020 NLST-730
Nonlinear performance analysis and prediction for robust low dose lung CT Grace Gang Johns Hopkins University NLST Nov 17, 2020 NLST-728
Applying Machine Learning on available datasets to derive knowledge Shalini Madhan st josephs college of engineering PLCO Nov 17, 2020 PLCO-690
Machine Learning for Colorectal Cancer Risk Prediction Ling Zheng Monmouth University PLCO Nov 17, 2020 PLCO-687
Evaluate the impact of ovarian cancer interventions for primary prevention, screening and treatment Iakovos Toumazis The University of Texas MD Anderson Cancer Center PLCO Nov 17, 2020 PLCO-689
Deep learning based cancer grading for early detection from histology image biostatistics Ahmet Coskun Georgia Institute of Technology PLCO Nov 17, 2020 PLCOI-695
Using clinicopathological data to determine risk of metachronous advanced colorectal neoplasia among patients with adenomas Laura Hester Janssen Research and Development, LLC PLCO Nov 17, 2020 PLCO-688
An examination of the relationship between specific driver mutations, target drugs, and immunotherapies in non-small cell lung cancer survival outcomes. Lauren Connell Independent PLCO Nov 17, 2020 PLCO-691
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
Heterogeneous Odds Ratio Estimation Jean Pauphilet London Business School PLCO Nov 4, 2020 PLCO-686
Deep Learning for Discovering and Visualising Biomarkers Gustavo Carneiro University of Adelaide NLST Nov 4, 2020 NLST-723
Evaluating key determinants for the risk of second primary lung cancer among breast and colorectal cancer survivors using population-based screening trial data from the PLCO Summer Han Stanford University PLCO Oct 27, 2020 PLCO-683
Statistical Methods and Artificial Intelligence Deep Learning to Identify the Risk Factors of Colorectal Cancer Ranju Karki University of South Florida PLCO Oct 27, 2020 PLCO-684