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

Name Principal Investigator Institution Study Date Approved Project ID
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
Interpretable Artificial Intelligence to select patients that will benefit from lung cancer screening Jean-Emmanuel Bibault Stanford University PLCO Mar 5, 2020 PLCO-594
Lung Cancer Detection and Classification Using Deep Learning Daniel Korat Interdisciplinary Center Herzliya NLST Mar 3, 2020 NLST-643
Relationship Among Energy Balance, Health Outcome, and 24-hour Time-Use Lifestyle Behaviors Yaozong He University of Illinois at Urbana-Champaign IDATA Mar 2, 2020 IDATA-34
Personalizing colorectal treatment strategies through machine learning Jean-Emmanuel Bibault Stanford University PLCO Feb 27, 2020 PLCO-592
Treatment effect on the Survival Time of Lung Cancer Patients Jing Zhou Department of Family and Preventive Medicine PLCO Feb 27, 2020 PLCO-591
Lung cancer prognosis in CNUH Vi Vo Thi Tuong Chonnam National University NLST Feb 24, 2020 NLST-640
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
Imaging Biomarkers for Lung Cancer Screening Hengyong Yu University of Massachusetts Lowell NLST Feb 19, 2020 NLST-639
Evaluation of Thoracic Aortic Aneurysm Mortality with Low-Dose Computed Tomographic Screening. A Claire Watkins Stanford University NLST Feb 19, 2020 NLST-638
Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data Yi Chen ASUS AICS NLST Feb 19, 2020 NLST-637
A Machine Learning Approach to Diagnosing Breast Cancer Michele La Ferla University of Malta PLCO Feb 19, 2020 PLCOI-585
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
Second-hand smoke (SHS) and mortality in never-smoking women Neal Freedman NCI PLCO Feb 19, 2020 PLCO-586
A new mathematical model for the computation of optimal cancer surveillance schedules Johannes Reiter Stanford University NLST Feb 7, 2020 NLST-636