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Approved Projects

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

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2521-2540 of 2638
Name Principal Investigator Institution Study Date Approved Project ID
Using Contrastive Masked Video Autoencoders to detect lung cancer in high-risk individuals with low-dose CT scans Bryan Jiang STEM ADEMIA LLC NLST Jan 9, 2024 NLST-1183
Using decision support technologies to enhance individual decision-making to forgo or undergo screening for prostate cancer Andrew Stephenson Cleveland Clinic PLCO Feb 27, 2014 PLCO-66
Using deep learning approach to identify lung cancer and pulmonary tuberculosis Yuan Wang Washington State University NLST Sep 4, 2018 NLST-439
Using Deep Learning for Cancer Nodule Detection Ashish Gupta Auburn University NLST Apr 25, 2017 NLST-300
Using deep learning models to infer spatial transcriptomics from H&E slides Eytan Ruppin Cancer Data Science Laboratory, NCI NLST Nov 5, 2024 NLST-1353
Using deep learning models to infer spatial transcriptomics from H&E slides Eytan Ruppin Cancer Data Science Laboratory, NCI NIH PLCO Feb 19, 2025 PLCOI-1832
Using foundation model for cardiovascular disease detection. Xiaofeng Yang Emory University NLST May 16, 2024 NLST-1249
Using generative adversarial neural networks to create synthetic images for improved classification of lung cancer Caleb Bradberry Radford University NLST Feb 23, 2018 NLST-392
Using Hierarchy label classification to Chest X-ray images Gregory Hager Johns Hopkins University PLCO Jul 20, 2018 PLCO-384
Using Interpretable and (Explainable) Ensemble Methods to Unpack Disease Predictions: An Empirical Study of the Cancer Prediction Problem Gorkem Turgut Ozer University of New Hampshire PLCO Apr 12, 2024 PLCO-1530
Using large-scale cohort studies to develop a novel AI tool for identifying lifetime, environmental and occupational determinants of healthy ageing (DARE project) Paolo Boffetta University of Bologna PLCO Sep 5, 2024 PLCO-1657
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
Using Machine Learning algorithms to predict breast cancer in women, using Electronic Health Record information. Maya Carswell University Of Liverpool PLCO Jun 22, 2022 PLCO-994
Using Machine Learning and Artificial Intelligence to Distinguish Between Malignant and Benign Lung Cancer Tumors in a CT Scan Santhosh Subramanian NCI Radiation Oncology NLST Aug 3, 2015 NLST-149
Using machine learning and big data for optimizing medication prescriptions for lung cancer Jason Chang National Yunlin University of Science and Technology PLCO Nov 22, 2021 PLCO-859
Using Machine Learning for the Early Diagnosis of Pancreatic Cancer Carol Hersh Great Neck South High School PLCO Jul 21, 2020 PLCO-651
Using Machine learning to find gender differences in the bone morphology of the first rib Andreas Prescher MOCA, Institute of Molecular and Cellular Anatomy, RWTH Aachen University NLST Aug 22, 2019 NLST-554
Using machine learning to understand demographic differences when predicting ovarian cancer Devanshi Kothari Independent PLCO Jul 15, 2021 PLCO-806
Using markers of endemic fungal infection to predict malignancy in lung nodules identified on screening CT Laszlo Vaszar Mayo Clinic Arizona NLST Apr 13, 2016 NLST-205
Using NLST Data to find the Relationships between Nicotine Dependence Variables and CT Screening Efficacy as well as Survival Outcomes Junjia Zhu Penn State Hershey Medical Center NLST Jan 16, 2015 NLST-113