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COVID-19 is an emerging, rapidly evolving situation.

What people with cancer should know: https://www.cancer.gov/coronavirus

Get the latest public health information from CDC: https://www.coronavirus.gov

Get the latest research information from NIH: https://www.nih.gov/coronavirus

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

Data-Only Studies
Biospecimen Studies
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Results: 1602 (Showing 1 to 20) — Export these results

Name Principal Investigator Institution Study Date Approved Project ID
CT-based COVID-19 Diagnostic Tool David Wiley Stratovan Corporation NLST Apr 2, 2020 NLST-653
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
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 Wen-Yi Huang NCI/DCEG 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
Development of DCNN-based solution for lung cancer detection based on CT images. NoƩ Samaille IBM NLST Mar 16, 2020 NLST-648
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
Interpretable Graph Convolutional Networks with CPC features for Whole Slide Histology Classification Faisal Mahmood Brigham and Women's Hospital NLST Feb 28, 2020 NLST-592
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
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