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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
Germline genetics of prostate cancer, PSA, and BPH using the expanded PLCO GWAS Sonja Berndt National Cancer Institute PLCO Aug 5, 2020 PLCO-659
Blood-based biomarkers as a complement to CT screening for lung cancer Edwin Ostrin University of Texas MD Anderson Cancer Center NLST Jul 29, 2020 NLST-698
Deep Learning for Chest X-Ray Radiological Findings Related to Covid-19 Bambang Trilaksono PT Riset Kecerdasan Buatan PLCO Jul 24, 2020 PLCOI-656
Deep Learning Reconstruction of Chest CT Volumes from Single or Multi View Chest Radiographs Nadav Shapira University of Pennsylvania NLST Jul 24, 2020 NLST-697
DeepCoronaScan Christophe Zimmer Institut Pasteur Paris NLST Jul 21, 2020 NLST-696
Using Machine Learning for the Early Diagnosis of Pancreatic Cancer Carol Hersh Great Neck South High School PLCO Jul 21, 2020 PLCO-651
Studying the association between diurnal rhythms of eating-fasting and rest-activity behaviors and oral microbiome. Qian Xiao The University of Texas Health Science Center at Houston IDATA Jul 17, 2020 IDATA-37
BRCA and HNPCC Carriers in PLCO Paul Pinsky NCI PLCO Jul 17, 2020 PLCO-644
Impact of Prostatitis and Benign Prostate Hyperplasia (BPH) on risk factors for Prostate Cancer Andrew Marks Claremont Graduate University PLCO Jul 17, 2020 PLCO-641
The development of novel outcomes from free-living physical behaviour and their relationship with determinants of health Craig Speirs University of Strathclyde IDATA Jul 17, 2020 IDATA-36
Prediction of an individual's smoking habits using saliva microbial signatures Manfred Kayser Erasmus MC Medical Center University Rotterdam PLCO Jul 17, 2020 PLCO-647
Blood groups and inflammatory marker levels Charles Rabkin DCEG PLCO Jul 17, 2020 PLCO-646
Effect of lung morphology on particle deposition in the airways Uduak George San Diego State University NLST Jul 17, 2020 NLST-694
Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants Soon Ho Yoon Seoul National University Hospital NLST Jul 17, 2020 NLST-695
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images Mohammad Soltanieh-ha Boston University NLST Jul 13, 2020 NLST-692
Deep learning model using multi-modal data for lung cancer survival prediction yingying zhu University of Texas, Arlington NLST Jul 7, 2020 NLST-684
Actionable Intelligence Research for Early Lung Cancer Detection Jia Wu MD Anderson Cancer Center NLST Jul 7, 2020 NLST-690
Lung Cancer Nodule Detection Using Algorithm. MUHAMMAD UMAIR NED UNIVERSITY NLST Jul 7, 2020 NLST-688
Development of CNN-based model in predicting patients outcomes Shaunagh McDermott Massachusetts General Hospital NLST Jun 30, 2020 NLST-686
Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. Marcelo Oliveira Universidade Federal de Alagoas (UFAL) NLST Jun 29, 2020 NLST-685