Skip to Main Content
An official website of the United States government

Approved Projects

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

Reset
Showing Most Recent
2481-2500 of 2638
Name Principal Investigator Institution Study Date Approved Project ID
Unsupervised analysis of thorax CT datasets Marian Himstedt University of Luebeck NLST Jan 18, 2022 NLST-870
Unsupervised Deep Learning Approach to Characterize the Normal-Appearing Tissue in Lung CT images Kayhan Batmanghelich University of Pittsburgh NLST Nov 7, 2017 NLST-363
Unsupervised Deep Learning Detection of Lung Cancer Nodules Ouwen Huang Gradient Health NLST Feb 8, 2021 NLST-758
Unsupervised feature extraction for benign and malignant pulmonary nodules Matthew Stephens University of Cincinnati NLST Jun 13, 2017 NLST-314
Unsupervised lesion detection on lung CTs with deep learning Andreas Baur University of Bern NLST Dec 18, 2018 NLST-459
Updated data request: Ovarian cancer risk factors by histologic subtypes and development of an ovarian cancer risk prediction model in the Ovarian Cancer Cohort Consortium (OC3) Nicolas Wentzensen DCEG, NCI PLCO Dec 11, 2018 PLCO-429
Updated Likelihood ratios for bayesian analysis of Pulmonary Nodules Akrum Al-Zubaidi VVH NLST Dec 22, 2014 NLST-104
Updates in lethal prostate cancer in the PLCO trial Jonathan Shoag Weill Cornell Medicine PLCO Dec 21, 2020 PLCO-701
Upgrading and upstaging of men with clinically low-risk prostate cancer in PLCO Amanda Black NCI, DCEG, EBP PLCO Jun 23, 2014 PLCO-93
use active learning to do the tumor segmentation. Sijie Wang the university of Tokyo NLST Oct 31, 2019 NLST-595
Use machine learning and deep learning combined with multiparameter to avoid unnecessary biopsy Andrew Cao Independent PLCO Mar 16, 2021 PLCO-746
Use of analgesic medications and risks of breast and endometrial cancer among women in the PLCO cohort Kayleigh Majercak University of Arkansas for Medical Sciences PLCO Jun 20, 2013 PLCO-37
Use of Artificial Intelligence to develop an automated, outcome-baaed, prostate cancer grading system. Michael Donovan University of Miami PLCO Jul 2, 2021 PLCOI-803
Use of a Single-Scan Modified Lung-RADS for Pulmonary Nodule Assessment in Resource-Limited Clinical Settings Saoud Arshad University Of Lahore NLST Mar 12, 2025 NLST-1401
Use of biometric data in cancer prediction Bonny Banerjee University of Memphis PLCO Jan 28, 2021 PLCOI-722
Use of biometric data in pancreatic cancer prediction Bonny Banerjee University of Memphis PLCO Apr 10, 2019 PLCO-469
Use of Breast Cancer Risk Reducing Medications Paul Pinsky National Institutes of Health PLCO Nov 19, 2024 PLCO-1749
Use of deep learning to predict response of treatment for late stage lung cancer patients. Monika Mehta SGInnovate - Entrepreneur First PLCO Oct 3, 2019 PLCOI-531
Use of Digital Pathology and Artificial Intelligence for Prostate Cancer Risk Stratification Eric Li Northwestern University Feinberg School of Medicine PLCO Dec 10, 2021 PLCOI-876
Use of Digital Pathology and Artificial Intelligence for Prostate Cancer Risk Stratification in the Post-Surgical Setting Danielle Croucher Artera Inc. PLCO Oct 11, 2024 PLCOI-1703