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 |
---|---|---|---|---|---|
Predicting the location and interval of lung nodule occurrence from low-dose CT | Matthew Blackledge | Institute of Cancer Research | NLST | Apr 4, 2019 | NLST-493 |
Survival Benefit for Patients with Hepatocellular Carcinoma -- A Population Based Study | Hua Tiantian | Department of Epidemiology and Biostatistics, School of Public Health, Southeast University | PLCO | Apr 2, 2019 | PLCO-465 |
Out of pocket costs associated with Lung Cancer Screening | Daniel Reuland | University of North Carolina at Chapel Hill Comprehensive Cancer Center | NLST | Apr 2, 2019 | NLST-492 |
Optimize radiological workflows with automated diagnostics | Daniel Drieling | MeVis Medical Solutions AG | NLST | Mar 29, 2019 | NLST-491 |
Quantitative CT Analysis to Predict Future Lung Cancer | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Mar 29, 2019 | NLST-490 |
Gender-specific susceptibility and hormonal influence on lung cancer incidence | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | PLCO | Mar 25, 2019 | PLCO-460 |
Comparison of the efficacy of sigmoidoscopy in screening coloretal cancer among high-risk and average-risk populations | Rui-Hua Xu | Sun Yat-Sen University Cancer Center | PLCO | Mar 25, 2019 | PLCO-459 |
Predicting patient outcomes with machine learning of cancer histopathology images | Moritz Gerstung | EMBL-EBI | PLCO | Mar 21, 2019 | PLCO-463 |
Neural Network Application in Medical Research with Concentration on Breast Cancer | Chenying Lu | Harrisburg University | PLCO | Mar 21, 2019 | PLCO-462 |
Novel Patient-Specific Hybrid Modeling for Personalized Early Detection of Cancer using Blood-Based Biomarkers | Ray Han | Peking University | PLCO | Mar 21, 2019 | PLCO-461 |
Risk factor epidemiology of thyroid cancer | Omar Abdel-Rahman | Avicenna Oncology center | PLCO | Mar 8, 2019 | PLCO-458 |
Gender-specific susceptibility and hormonal influence on lung cancer incidence | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | NLST | Mar 6, 2019 | NLST-487 |
The role of BMI in upgrading and upstaging of men with clinically localized prostate cancer | Kathryn Barry | University of Maryland, Baltimore | PLCO | Feb 28, 2019 | PLCO-455 |
Evaluating the Potential for Biomarker Use in CT Screening | Hilary Robbins | International Agency for Research on Cancer (IARC) | PLCO | Feb 20, 2019 | PLCO-456 |
Machine Learning Classification of Nodules | Michal Lada | University of Rochester | NLST | Feb 19, 2019 | NLST-484 |
Automatic Pathological Diagnosis System for Lung Cancer Using Deep Learning | Shuhao Wang | Tsinghua University | NLST | Feb 19, 2019 | NLST-482 |
Lung cancer case prioritization tool with automated CT scan classification | Ramune Dauksaite | Birkbeck College, University of London | NLST | Feb 19, 2019 | NLST-483 |
Prediction of NSCLS from CT scan and habitual data of a person after two years by using CNN and LSTM machine learning techniques | Mayur Munshi | University of Manchester | NLST | Feb 14, 2019 | NLST-481 |
Self-reported dietary intake and serum metabolite correlations | Kaitlyn Mazzilli | National Cancer Institute | PLCO | Feb 13, 2019 | PLCO-454 |
Ovarian cancer identification using machine learning techniques | Julius Ting | Asia Pacific University | PLCO | Feb 11, 2019 | PLCO-452 |