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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
Diabetes, antidiabetic medication use, and the risk of ovarian cancer Susan Steck University of South Carolina PLCO Dec 21, 2020 PLCO-705
Artificial Intelligence To Predict The Risk Of Malignancy In Lung Cancer By Low-Dose CT Screening Studies Christian Salvatore DeepTrace Technologies, spin-off of University School for Advanced Studies IUSS Pavia NLST Dec 21, 2020 NLST-739
Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. Artur Dubrawski Carnegie Mellon University NLST Dec 21, 2020 NLST-738
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