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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
Automated assessment of multiple diagnoses and findings in NLST Joshua Reicher imvaria inc. NLST Apr 8, 2020 NLST-655
COVID-19 AI Screening Model Pretraining Using NLST Data - Is CT a clinically meaningful COVID screening tool? Shadab Khan Group 42 NLST Apr 6, 2020 NLST-654
CT-based COVID-19 Diagnostic Tool David Wiley Stratovan Corporation NLST Apr 2, 2020 NLST-653
ProstAId-CDS - A Clinical Decision Support System for Prostate Cancer Treatment Stefan Bonn University Medical Center Hamburg Eppendorf / ZMNH PLCO Mar 27, 2020 PLCOI-589
Estimating the probability of overdiagnosis in PLCO trial Jian-Lun Xu NCI PLCO Mar 25, 2020 PLCO-600
Accurate detection of COVID-19 patterns from CT lung scans by deep learning Piotr Slomka Cedars-Sinai Medical Center NLST Mar 23, 2020 NLST-651
Master Degree on Prostate Cancer Survival Katarzyna Adamska Warsaw School of Economics PLCO Mar 20, 2020 PLCO-596
Biomarkers of Exposure and Response to Coffee Intake Erikka Loftfield National Cancer Institute PLCO Mar 20, 2020 PLCO-599
Early Diagnosis of Asthma, Thyroid Cancer and Schizophrenia Diseases Using Computational Intelligence Techniques Sarah Alotaibi IAU PLCO Mar 20, 2020 PLCO-603
EEMS Methods Study Work Erikka Loftfield National Cancer Institute PLCO Mar 18, 2020 2020-9001
Aspirin use and risk of hepatocellular carcinoma incidence and mortality in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Holli Loomans-Kropp National Cancer Institute PLCO Mar 18, 2020 PLCO-601
Diagnosing COVID-19 from deep learning trained on CT scans Jean-Remi King CNRS NLST Mar 17, 2020 NLST-650
Lung tumor early detection and prognosis with machine learning approach Tengfei Li University of North Carolina at Chapel Hill NLST Mar 16, 2020 NLST-649
Development of DCNN-based solution for lung cancer detection based on CT images. Noé Samaille IBM NLST Mar 16, 2020 NLST-648
Dietary inflammatory potential and risk of liver cancer in the PLCO study Xuehong Zhang The Brigham and Women’s Hospital, Inc. PLCO Mar 16, 2020 PLCO-598
A Machine Learning Approach to Bladder Cancer Screening and Cancer Grade/Stage Differentiation Herbert Chase The Trustees of Columbia University in the City of New York PLCO Mar 16, 2020 PLCO-597
Association of colorectal polyps with dietary inflammation during screening colonoscopy in Men and Women Bhaumik Brahmbhatt Mayo Clinic PLCO Mar 16, 2020 PLCO-593
Risk Prediction Model for Endometrial Cancer using multiple Machine Learning Algorithms and Meta-Analysis Denis Mihaies Brunel Univeristy PLCO Mar 16, 2020 PLCO-590
Autoencoder for CT images and automatic clustering of patients michael roberts Astrazeneca NLST Mar 10, 2020 NLST-647
Similar Patient Search for Cancer Patients Elham Taghizadeh Fraunhofer MEVIS: Institute for Digital Medicine NLST Mar 10, 2020 NLST-645