Skip to Main Content

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
Reset

Results: 1652 (Showing 41 to 60) — Export these results

Name Principal Investigator Institution Study Date Approved Project ID
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
A systematic assessment of different environmental, lifestyle, medical and familial factors associated with risk of liver cancer and survival Youzhu Wei Fujian Medical University PLCO Mar 25, 2020 PLCO-604
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 Zvi Livneh Weizmann Institute in Isreal 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
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