Skip to Main Content
An official website of the United States government
Scheduled Maintenance: CDAS will be undergoing maintenance on Saturday, February 7th from 7:30 AM to 9:30 AM U.S. Eastern Standard Time for updates to the website. During this time you may experience intermittent downtime.

Approved Projects

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

Reset
Showing Most Recent
941-960 of 2636
Name Principal Investigator Institution Study Date Approved Project ID
When to schedule the first screening for women's ovarian cancer based on her age and other parameters? Dongfeng Wu University of Louisville Research Foundation, Inc. PLCO Mar 30, 2021 PLCO-758
Development of new predictive energy equations in adults aged 65-79 years and ≥80 years Judi Porter Deakin University IDATA Mar 23, 2021 IDATA-42
Data-driven mathematical modeling approach for estimating lesion potency in lung cancer Souvik Roy University of Texas at Arlington NLST Mar 22, 2021 NLST-773
Predicting outcome of lung cancer patients using deep learning Andreas Kleppe Institute for Cancer Genetics and Infomatics, Oslo University Hospital NLST Mar 22, 2021 NLST-772
Use machine learning and deep learning combined with multiparameter to avoid unnecessary biopsy Andrew Cao Independent PLCO Mar 16, 2021 PLCO-746
Geographic variation of the oral microbiome in the United States: A spatial analysis in three prospective cohorts Ian Buller National Cancer Institute PLCO Mar 15, 2021 PLCO-749
Prediction of Breast Cancer treatment using demographic ingormation jonathan synarong Lewis University PLCO Mar 15, 2021 PLCO-745
Application of deep learning to automate detection of lung nodules on single and serial chest radiographs Kartik Varadarajan Visionairy Health Inc. PLCO Mar 15, 2021 PLCOI-748
Dysanapsis and lung cancer Benjamin Smith The Trustees of Columbia University in the City of New York NLST Mar 10, 2021 NLST-768
Automated assessment of cardiovascular disease risk from CTs using deep learning Shazia Akbar Altis Labs, Inc. NLST Mar 10, 2021 NLST-770
Development of clinically applied recurrence prediction model through artificial intelligence Sung Yong Kim Infinitt Healthcare co,ltd NLST Mar 10, 2021 NLST-767
Boundary tracing Mohsen Rezapour The University of Texas, Health Science center at Houston PLCO Mar 9, 2021 PLCO-699
Non-Genetic Risk Factors for Endometrial Cancer Surabhi Sajith BASIS Ahwatukee PLCO Mar 9, 2021 PLCO-743
Transfer Learning for Male Breast Cancer Lawrence Fulton Texas State University PLCO Mar 9, 2021 PLCOI-742
Evaluate performance of the PreciseDx AI-digital LDT Breast assay to predict breast cancer recurrence using clinical data and H&E images from study patients Michael Donovan University of Miami PLCO Mar 9, 2021 PLCOI-741
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