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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
Accurate detection of COVID-19 patterns from CT lung scans by deep learning Piotr Slomka Cedars-Sinai Medical Center NLST Mar 23, 2020 NLST-651
Accurate malignant risk estimation of pulmonary nodules using deep learning Colin Jacobs Radboud University Medical Center NLST Oct 19, 2021 NLST-846
A clinical trial evaluating a computer-aided diagnosis software for lung nodules in CT imaging. Lan Song Peking Union Medical College Hospital NLST Jul 8, 2024 NLST-1284
A Comparative Analysis of Lung Cancer Treatment in a Local and National Sample with Lung Cancer Lee Ann Johnson East Carolina University NLST Oct 4, 2019 NLST-581
A Comparative Cost-Effectiveness Analysis of Lung Cancer Screening by CT and Chest X-ray Gary Strauss Tufts Medical Center NLST Oct 2, 2014 NLST-90
A Comparative Cost-Effectiveness Analysis of Lung Cancer Screening by CT and Chest X-ray Gary Strauss Tufts Medical Center PLCO Oct 2, 2014 PLCO-107
A Comparison Between Multi Classification Algorithms on PLCO Colorectal Cancer Dataset Bawer Berwary Van Yuzuncu Yil University PLCO Oct 3, 2019 PLCO-533
A Comparison of Binary Classifiers Performance on Predicting Breast Cancer Diagnoses Vanessa Gutierrez Fordham University PLCO Jan 4, 2018 PLCO-336
A comprehensive evaluation of the association between behavioral and dietary factors and colorectal cancer incidence and mortality zongze Jiang Sichuan University PLCO Mar 22, 2022 PLCO-949
A Computer Tool for Aiding in Accurate Assessment of Indeterminate Lung Nodules Xin Meng International Informatics Solution Laboratory LLC NLST Sep 26, 2019 NLST-571
A convolutional neural network based approach to detect small size tumor tissue at early stage Xinjun Zhang Indiana University Bloomington PLCO Sep 30, 2016 PLCO-227
ActiGraph data for physical activity, gait and balance analysis Elias Abou Zeid Sanofi IDATA Apr 27, 2020 IDATA-35
Actionable Intelligence Research for Early Lung Cancer Detection Jia Wu MD Anderson Cancer Center NLST Jul 7, 2020 NLST-690
Adding metabolite names from PLCO, ATBC studies to COMETS metabolite dictionary Steven Moore National Cancer Institute PLCO Feb 3, 2021 PLCO-733
Additive proportional hazard model for interval-censored data Yan Liu University of Nevada, Reno PLCO May 12, 2020 PLCO-621
Addressing equity in lung cancer early detection through identification of high risk clinical and radiographic features in minority and disadvantaged patients. Ameen Salahudeen The Board of Trustees of the University of Illinois on behalf of The University of Illinois at Chicago. NLST Oct 3, 2023 NLST-1125
Addressing equity in lung cancer early detection through identification of high risk clinical and radiographic features in minority and disadvantaged patients. Ameen Salahudeen The Board of Trustees of the University of Illinois on behalf of The University of Illinois at Chicago PLCO Sep 28, 2023 PLCOI-1340
Addressing Knowledge Gaps in Bladder Cancer Screening yair lotan University of Texas Southwestern Medical Center NLST Aug 7, 2013 NLST-31
Addressing Knowledge Gaps in Bladder Cancer Screening yair lotan University of Texas Southwestern Medical Center PLCO Aug 7, 2013 PLCO-46
A Deep Learning Algorithm using the PLCO data to estimate cancer risk from multiple cancers Ping Hu National Cancer Institute PLCO Jan 12, 2023 PLCO-1142