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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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2541-2560 of 2638
Name Principal Investigator Institution Study Date Approved Project ID
Using PLCO Chest X-Ray data to train medical imaging models on Google Cloud Platform Mikhail Fomitchev Google, LLC PLCO May 12, 2020 PLCOI-619
Using population-based healthcare data to investigate the risk of mortality or relapse after radiotherapy for prostate cancer Bill Nailon University of Edinburgh PLCO Jun 24, 2024 PLCO-1601
Using PRS for CRC screening Ulrike Peters Fred Hutchinson Cancer Research Center PLCO Dec 8, 2021 PLCO-872
Using Region based Convolutional Neural Networks (RCNNs) and its variants to detect, classify, segment and predict lung cancer signatures from NLST data Pratik Shah Massachusetts Institute of Technology NLST Nov 13, 2019 NLST-599
Using Self-reported Baseline Questionnaire Data from the PLCO Trial to Create a Three-Outcome Absolute Risk Model for Breast, Ovarian and Endometrial Cancer Aimee Kreimer NCI, DCP, EDRG PLCO Jul 1, 2006 2006-0011
Using the NLST database to develop a lung cancer malignancy prediction tool from CT and WSI data Thomas Langø SINTEF NLST Aug 22, 2019 NLST-553
Using the SF-36 to Track Health Status Outcomes Among Participants in the PLCO Lance Yokochi PHREI PLCO Jul 1, 2006 2006-0270
Using time-series data to predict nodule evolution Joseph Jacob University College London NLST Jun 18, 2019 NLST-526
Utilization of Deep Learning Architectures for the Automated Detection of Pulmonary tumor and Tuberculosis in Thoracic Radiographic Imaging Mutlu Avci Çukurova University NLST Jan 10, 2025 NLST-1380
Utilization of deep learning methodology for automated lung nodule detection Elliot English MetaMind NLST May 28, 2015 NLST-140
Utilization of machine learning to create a predictive model for ovarian cancer based on pelvic ultrasound, CA-125, and clinical characteristics Graham Chapman Case Western Reserve University PLCO Oct 18, 2022 PLCO-1074
Utilization of neural networks to identify and predict future cancer growth with images Wenzhi Zhang Detroit Country Day School NLST Sep 30, 2024 NLST-1329
Utilizing high-dimensional data with genome-wide scan data to identify novel genetic susceptibility variants for colorectal cancer Ulrike Peters Fred Hutchinson Cancer Research Center PLCO Mar 28, 2013 PLCO-23
Utilizing PLCO Prostate Survival Data to predict mortality in chemoprevention studies Paul Pinsky NCI, DCP, EDRG PLCO Aug 26, 2010 2010-0141
Utilizing sequence and imputed genotype data to identify novel genetic susceptibility variants for colorectal cancer Ulrike Peters Fred Hutchinson Cancer Center PLCO Mar 6, 2014 PLCO-68
Validate Colon Cancer Model trained on synthetic data against PLCO dataset patient data Jeremy Howard Lucem Health, Inc. PLCO May 14, 2024 PLCO-1553
Validating an Inference Engine for Data-driven Personalized Diet Goals Marissa Burgermaster University of Texas at Austin IDATA Jun 15, 2021 IDATA-46
Validating automated algorithms for detection of lung pathology Atilla Kiraly Google NLST Nov 13, 2019 NLST-559
Validating the performance of Deep Neural Network models for lung nodule detection Naglis Ramanauskas Oxipit, UAB NLST Feb 16, 2022 NLST-886
Validating the Stability of Chrononutrition Behaviors: Insights from Repeated Dietary Assessments Using ASA24 Samaneh Farsijani University of Pittsburgh IDATA Jan 6, 2025 IDATA-86