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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
Identification and Characterization of Genetic Variants Predisposing Cancer Jeffrey Smith Vanderbilt University Medical Center PLCO Feb 16, 2022 PLCO-918
Identification and prediction of risk factors for upper gastrointestinal cancer bo zhu China Medical University PLCO Oct 16, 2023 PLCO-1350
Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification Ashish Gautam KardioLabs LLC NLST Mar 30, 2021 NLST-774
Identification of actionable lung nodules with low-dose computed tomography screening: Characterizing the effects on observer performance of a personalized Artificial Intelligence feedback Jessica Sieren University of Iowa NLST Mar 21, 2022 NLST-895
Identification of factors associated with development and progression of monoclonal B-cell lymphocytosis (MBL) Ola Landgren Sylvester Comprehensive Cancer Center, University of Miami PLCO Jan 21, 2010 2009-0561
Identification of genetic and lifestyle determinants of estrogen metabolism profiles Fangcheng Yuan Vanderbilt University Medical Center PLCO Apr 19, 2023 PLCO-1199
Identification of High-Risk Cohorts using PLCO data for Targeted Gastric Cancer Prevention and Control Strategies Haejin In Albert Einstein College of Medicine PLCO Jan 27, 2020 PLCO-567
Identification of Risk Factors and Patient Populations at Risk for Developing Cancer of the Head and Neck Jay Piccirillo Washington University School of Medicine in St. Louis PLCO Jul 14, 2022 PLCO-1003
Identify high-risk susceptibility genes for melanoma using population-based samples to follow-up on rare variants in potential melanoma susceptibility genes identified from melanoma-prone families Rose Yang NCI, DCEG, GEB PLCO Mar 7, 2014 2014-0017
Identifying Cell Types in Lung Cancer Pathology Images Using Deep Learning guiyun Chen Jiangnan University NLST Jan 17, 2024 NLST-1189
Identifying DNA methylation patterns associated with Multiple Sclerosis Rodney Lea The University of Newcastle PLCO Jul 2, 2021 PLCO-802
Identifying histological features of lung cancer using deep learning Jennifer Beane Trustees of Boston University NLST May 11, 2021 NLST-794
Identifying LDCT imaging features associated with second primary lung cancer risk among lung cancer patients Summer Han Stanford University School of Medicine NLST Dec 18, 2023 NLST-1171
Identifying lethal lung cancers from non-lethal disease using CT and pathology image markers Peng Huang Johns Hopkins University PLCO Sep 20, 2017 2017-9001
Identifying metabolomic risk factors for pancreatic cancer Rachael Stolzenberg-Solomon NCI, DCEG, NEB PLCO Sep 5, 2012 2012-0066
Identifying novel genetic factors predisposing to inherited cardiac disorders Connie Bezzina Amsterdam Universitair Medisch Centrum PLCO Mar 25, 2024 PLCO-1507
Identifying Optimal Cohort for Renal Cell Cancer Screening Yair Lotan University of Texas Southwestern NLST Oct 9, 2014 NLST-92
Identifying Optimal Cohort for Renal Cell Cancer Screening Yair Lotan University of Texas Southwestern PLCO Oct 9, 2014 PLCO-109
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
Identifying risk factors for breast cancer through machine learning Daniella Araujo Universidade Federal de Minas Gerais PLCO Nov 3, 2021 PLCO-853