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Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

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
Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction (renewal of project NLST-256) Lisa Di Jorio Imagia Cybernetics NLST Mar 9, 2021 NLST-761
Predicting Mortality and Causes from Chest CT Images david wilson UPMC NLST Mar 9, 2021 NLST-762
Using Low-Dose Lung Computed Tomography to Predict the Risk of Lung Cancer Gigin Lin Chang Gung Memorial Hospital NLST Mar 8, 2021 NLST-764
Creating a reference distribution of predicted lung cancer risk Scott Lee Vanderbilt University Medical Center NLST Mar 8, 2021 NLST-763
Nonparametric instrumental regression with competing risks data Ingrid Van Keilegom Katholieke Universiteit Leuven HIPB Mar 1, 2021 HIPB-2
Association of Adulthood Weight Change with Lung Cancer Risk and Mortality Hyung-Suk Yoon Vanderbilt University Medical Center PLCO Feb 22, 2021 PLCO-738
Detecting Medical Errors in the Cancer Screening Process: An In-Depth Review of Lung Cancer Screening & at Risk Qualifications Brianna Johnson University of Massachusetts Dartmouth PLCO Feb 22, 2021 PLCO-737
Levering Interactive Diet and Activity Tracking Study Data to Inform Precision Dietary Assessment Regan Bailey Texas A&M University IDATA Feb 11, 2021 IDATA-41
Unsupervised Deep Learning Detection of Lung Cancer Nodules Ouwen Huang Gradient Health NLST Feb 8, 2021 NLST-758
A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection Jerry Liu Prairie View A&M University NLST Feb 5, 2021 NLST-756
Adding metabolite names from PLCO, ATBC studies to COMETS metabolite dictionary Steven Moore National Cancer Institute PLCO Feb 3, 2021 PLCO-733
Novel Dietary Index for Gut Microbiota and Associations with Colorectal Cancer and Breast Cancer Risk Susan Steck University of South Carolina PLCO Jan 28, 2021 PLCO-730
Time to Event Prediction Based on Risk Calculation from Biomarkers Anna Lokshin University of Pittsburgh PLCO Jan 28, 2021 PLCO-717
Use of biometric data in cancer prediction Bonny Banerjee University of Memphis PLCO Jan 28, 2021 PLCOI-722
Develop a Markovian-based natural history model for ovarian cancer progression Andrew Schaefer Rice University PLCO Jan 28, 2021 PLCO-729
Impact of Anti-Inflammatory Medication Use on Breast Cancer Incidence and Survival in Elderly ER+ Breast Cancer Adrian Lee University of Pittsburgh Medical Center PLCO Jan 28, 2021 PLCO-725
Explainable Machine Learning for Personalized Decision-Making in Prostate Cancer Krithika Suresh University of Colorado PLCO Jan 28, 2021 PLCO-726
Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features Lygia Costa Independent Researcher NLST Jan 27, 2021 NLST-753
Predicting Late Stage Cancer Paul Pinsky NCI PLCO Jan 25, 2021 PLCO-727
Development of cell-free DNA (cfDNA) 5-hydroxymethylcytosine (5hmC) biomarkers for early detection of pancreatic ductal adenocarcinoma (PDAC) Marc Bissonnette University of Chicago PLCO Jan 15, 2021 2020-1003