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Approved Projects

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

Filter results of approved projects table below

Approved Projects
Name Principal Investigator Institution Study Date Approved Project ID
Developing AI-based diagnostic system for lung cancer through joint business plan Taegyu Kim DEEPNOID NLST Jun 24, 2019 NLST-531
Developing AI-Driven Personalized Early Detection and Clinical Decision Support for Prostate Cancer Ken Chen University of Texas MD Anderson Cancer Center PLCO Sep 22, 2025 PLCO-1969
Developing a metabolite-based biomarker panel for prostate cancer detection and prognosis in African-American men Arun Sreekumar Baylor College of medicine PLCO Feb 19, 2020 PLCO-583
Developing a multi-marker diagnostic test with predictive model enhancements for early-stage (Stage-1) Ovarian cancer Srinagesh Satyanarayana Kaya17 PLCO Jul 1, 2022 PLCO-1000
Developing an Accurate and Interpretable Risk-Based Model for Lung Cancer Screening Yi Luo Moffitt Cancer Center NLST Apr 19, 2023 NLST-1050
Developing an Accurate and Interpretable Risk-Based Model for Lung Cancer Screening Yi Luo Moffitt Cancer Center PLCO Apr 19, 2023 PLCO-1205
Developing an all-cancer risk model for methodologic research on sampling designs for epidemiologic studies Hormuzd Katki NCI PLCO Apr 5, 2022 PLCO-961
Developing a prognostic prediction model using Delta Radiomic Features and Clinical Information for Lung Cancer Detection XIAOFENG WANG Cleveland Clinic NLST Jan 30, 2020 NLST-634
Developing automated algorithms for detection of lung pathology Lily Peng Google LLC NLST Apr 25, 2016 NLST-204
Developing automated algorithms for detection of lung pathology Lily Peng Google LLC PLCO Apr 8, 2016 PLCO-204
Developing Contextualized Cancer Risk Models: Integrating Polygenic Risk Scores with Environmental, Geospatial, and Social Determinants of Health Data Phillip Kraft National Cancer Institute PLCO Dec 16, 2025 PLCO-2003
Developing polygenic risk models for complex traits and diseases Jianxin Shi NCI PLCO Jun 7, 2024 PLCO-1577
Development and application of an estrogen related dietary pattern to predict postmenopausal breast cancer. Susan Steck University of South Carolina, Department of Epidemiology and Biostatistics, Cancer Prevention and Control Program PLCO Mar 25, 2016 PLCO-193
Development and cost analysis of a lung nodule management strategy combining artificial intelligence and Lung-RADS for baseline lung cancer screening Paul Babyn University of Saskatchewan NLST Oct 22, 2020 NLST-722
Development and evaluation of algorithms for the lung disease diagnostics/management systems Yoshiro Kitamura FUJIFILM corporation NLST Dec 26, 2019 NLST-622
Development and evaluation of a retrieval system for a medical image database Georg Langs ContextFlow GmbH NLST Oct 27, 2016 NLST-253
Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan Cecile Dupont MD Start NLST Jun 26, 2020 NLST-683
Development and external validation of a lung nodule management system Hyunho Park VUNO Inc. NLST Jun 19, 2019 NLST-527
Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data Matloob Khushi The University of Sydney NLST Feb 24, 2020 NLST-641
Development and validation of a candidate selection model for lung cancer screening and a nodule risk prediction model using CT scans Hyungjin Kim Seoul National University Hospital NLST Jul 12, 2019 NLST-538