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

Data-Only Studies
Biospecimen Studies
Name Principal Investigator Institution Study Date Approved Project ID
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
Hormone replacement therapy use and risk of breast cancer incidence and death Yi Jiang Department of General Medicine and Geriatrics ,Chongqing University Central Hospital ,Chongqing Emergency Medical Center, China, 400000 PLCO Nov 19, 2020 PLCO-694
Nonlinear performance analysis and prediction for robust low dose lung CT Grace Gang Johns Hopkins University NLST Nov 17, 2020 NLST-728
Machine learning to differentiate between malignant and benign nodules Parag Chaudhari Mon Health Medical Center NLST Nov 17, 2020 NLST-315
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
Magnesium intake and colorectal cancer incidence and mortality in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial Zhuyue Li Sichuan University PLCO Nov 17, 2020 PLCO-692
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 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
Inflammatory potential of diet and survival of colorectal cancer in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial Zhuyue Li Sichuan University PLCO Oct 27, 2020 PLCO-682
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
Validation of Deep Learning Algorithm by using extended follow-up data in the National Lung Screening Trial Ping Hu NCI NLST Oct 22, 2020 NLST-715
Statistical Modelling on Pancreatic Cancer ADITYA CHAKRABORTY University of south Florida PLCO Oct 22, 2020 PLCO-680
Investigating multi-modal signatures of clinical outcome to immunotherapy in renal cell carcinoma Sachet Shukla Dana-Farber Cancer Institute PLCO Oct 22, 2020 PLCO-679