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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
Anti-Mullerian Hormone and Prostate Cancer Risk Martha Sklavos NCI, DCEG, IIB PLCO Mar 4, 2013 2013-0008
An update of the clinical and cost-effectiveness of lung cancer screening by low-dose CT Chris Hyde University of Exeter NLST Jun 5, 2019 NLST-519
A Patient Home Lung Disease Self Check System Using Datasets and Artificial Intelligence Bao Yuanjin Hangzhou University of Electronic Science and Technology NLST Jul 8, 2024 NLST-1281
APC Polymorphic Variants in Colon Tumors in the PLCO Trial Ellen Velie Michigan State University PLCO Jul 1, 2006 2006-0254
A Phase II extension of the use of cg05575921 Methylation to predict risk for lung cancer Robert Philibert Behavioral Diagnostics PLCO Aug 1, 2022 2022-0014
Application and Analysis of Mathematical tools in biological model Priya Dubey Amity University PLCO Mar 2, 2022 PLCO-934
Application and evaluation of Deep Learning to Predict tumors in medical images annotated using crowdsourcing Aakanksha Sanctis Maastricht University,Intitute of Data Science NLST Oct 15, 2019 NLST-587
Application for accessing NLST pathology images to validate the proposed prognostic modeling method Pei Liu UESTC NLST May 21, 2021 NLST-795
Application for accessing NLST pathology images to validate the proposed prognostic modeling method Road Zhang Southwest Petroleum University NLST Feb 16, 2022 NLST-887
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
Application of Deep Learning to Combine Clinical and Imaging Data to Localize, Characterize, and Prognosticate Lung Cancer Patients Jae Ho Sohn UCSF NLST Apr 4, 2017 NLST-297
Application of Machine Learning Algorithms for Predicting the Outcome of Therapeutic Intervention of Colorectal Cancer Patients In Palestine with a Global Comparison Amal Shaikhah Alexandria University - Medical Research Institute PLCO Aug 22, 2023 PLCO-1303
Application of machining learning in lung cancer prediction with the NLST and PLCO data Liang Ge Diannai (Shanghai) Biotech Co., Ltd. NLST Dec 27, 2016 NLST-269
Application of machining learning in lung cancer prediction with the NLST and PLCO data Liang Ge Diannai (Shanghai) Biotech Co., Ltd. PLCO Dec 27, 2016 PLCO-250
Application of NLST-calibrated Microsimulation Model Chung Yin Kong Massachusetts General Hospital NLST Jan 16, 2014 NLST-50
Application of Predictive Modelling Using Machine Learning Techniques to Predict Survival in Oncology Shanti Neff-Baro Amaris Consulting NLST Jul 18, 2023 NLST-1096
Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities Suryadipto Sarkar Arizona State University NLST Jun 22, 2020 NLST-679
Applying deep learning image segmentation to improve coronary artery calcium scoring for cardiovascular outcome prediction Sanjay Aneja Yale School of Medicine NLST Apr 25, 2022 NLST-911
Applying deep learning models to predict nodal metastasis from pathology imaging Sanjay Aneja Yale School of Medicine NLST Dec 11, 2023 NLST-1170
Applying econometric methods to examine heterogeneity in the impact of lung cancer screening Amanda Kowalski National Bureau of Economic Research NLST Jul 9, 2019 NLST-536