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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
Time-Varying Measurement Error Models Raymond Carroll Texas A&M University IDATA Mar 20, 2017 IDATA-10
Tobacco and Alcohol Use Analysis in Early Phase Prevention Trials Emma Brofsky US National Cancer Institute EPPT Jul 29, 2025 EPPT-4
Tobacco smoking is associated with increased tumor grade and stage and grade along with the mucinous carcinoma histopathologic type. Rodger Rothenberger University of Cincinnati PLCO Oct 3, 2019 PLCO-534
To Determine the Effects of Slice Thickness and Reconstruction Filter on Measurements of Lung Attenuation Obtained from Low Dose Multidetector CT Scans David Gierada Washington University NLST Jul 30, 2004 2004-90022
Towards Inherent Explainability in Breast Cancer Diagnosis -Unveiling Intrinsic Feature Relevance of Black Box Deep Learning Models using Tabular Data Mahreen Marghoob Stockholm University PLCO Feb 5, 2024 PLCO-1470
Towards personalized cancer treatment with deep learning Francesco Ciompi Radboud University Medical Center PLCO Nov 24, 2017 PLCOI-323
Towards Precision Prevention: Applying advanced data analytic and machine learning techniques to improve ovarian cancer screening. Jason Wright Columbia University PLCO Aug 23, 2019 PLCO-515
Towards Precision Prevention: Testing a Machine Learning Algorithm in Pancreatic Cancer Shannon Lynch Fox Chase Cancer Center PLCO May 30, 2017 PLCO-277
Towards reliable clinical decision support: Why popular stochastic deep learning approaches fail at epistemic uncertainty estimation Malte Blattmann Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig PLCO Jan 27, 2025 PLCO-1797
Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features Lygia Costa Independent Researcher NLST Jan 27, 2021 NLST-753
Training Lung Cancer Classifiers with Ultra-high Resolution Whole Slide Histopathology Images. Sean Yu aetherAI NLST Dec 13, 2019 NLST-620
Transfer Learning for Disease Diagnosis and Therapy Development Herschel Rabitz Princeton University PLCO Aug 8, 2023 PLCO-1279
Transfer Learning for Male Breast Cancer Lawrence Fulton Texas State University PLCO Mar 9, 2021 PLCOI-742
Translating gene-calcium interactions to precision medicine for colorectal cancer QI DAI VANDERBILT UNIVERSITY MED CTR PLCO 2014-0098
Translating Gene-Calcium Interactions to Precision Medicine for Colorectal Cancer Qi Dai Vanderbilt University PLCO Apr 29, 2014 PLCO-80
TransparentAI: High-Accuracy and Explainable Melanoma Classification System Björn Friedrich Carl von Ossietzky University, Medicine and Health Sciences, Department of Health Services Research, Division for Assistance Systems and Medical Device Technology PLCO Jul 15, 2024 PLCO-1623
Transportation of Diagnostic Accuracy Measures to a New Target Population Bing Li Brown University NLST Sep 20, 2020 NLST-712
Transporting a prediction model to a new cohort with a novel resampling method Lei Song George Washington University NLST Jan 9, 2024 NLST-1182
Treatment effect in a proportional hazards model with instrumental variables lorenzo tedesco KU LEUVEN HIPB Dec 5, 2022 HIPB-10
Treatment effect on the Survival Time of Lung Cancer Patients Jing Zhou Department of Family and Preventive Medicine PLCO Feb 27, 2020 PLCO-591