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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://covid19.nih.gov/

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

Data-Only Studies
Biospecimen Studies
Name Principal Investigator Institution Study Date Approved Project ID
DEEP LEARNING USING CHEST COMPUTED TOMOGRAPHY FOR THE DETECTION AND DIAGNOSIS OF LUNG CANCER Jeremy Burt Medical University of South Carolina NLST Sep 12, 2020 NLST-709
Smart Bronchoscopy James Shen Noah Medical Corporation NLST Sep 12, 2020 NLST-708
Temporal dietary patterns and metabolic markers Yikyung Park Washington University in St. Louis IDATA Sep 11, 2020 2019-0001
Reliability of 24-Hour Dietary Recall for Measuring Meal Timing Mary Playdon University of Utah IDATA Sep 11, 2020 IDATA-40
Characteristics associated with weightlifting, cancer risk and associated mortality Jessica Gorzelitz NCI / DCEG / MEB PLCO Sep 10, 2020 PLCO-665
A deep-learning signature of lesion detection, malignancy evaluation, risk stratification and management strategy for pulmonary nodules on computed tomography Chang Chen Shanghai Pulmonary Hospital, Tongji University School of Medicine NLST Sep 10, 2020 NLST-707
DNA methylation and breast cancer risk Jirong Long Vanderbilt University Medical Center PLCO Sep 1, 2020 PLCO-663
Consumption of sugar, sugar-sweetened beverages and liver cancer Katherine McGlynn National Cancer Institute PLCO Sep 1, 2020 PLCO-664
Multivariate gene-environment interaction analysis of renal cell carcinoma Luyang Liu TIANJIN MEDICAL UNIVERSITY CANCER INSTITUTE AND HOSPITAL PLCO Sep 1, 2020 PLCO-662
Estimate heritability of survival for selected diseases Jianxin Shi National Cancer Institute PLCO Aug 20, 2020 PLCO-661
Risk Factors for Lung Cancer in Never Smokers: Insight from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Dataset Farouk Dako University of Pennsylvania PLCO Aug 18, 2020 PLCO-660
Deep Learning for Prediction of Progression and Overall Survival of Lung Cancer using CT Examinations Brian Huang University of Pennsylvania NLST Aug 18, 2020 NLST-705
Learning with Sure data for Lung Cancer Prediction Hanxiao Zhang Institute of Medical Robotics, Shanghai Jiao Tong University NLST Aug 18, 2020 NLST-704
Development of Ultra High Resolution CT for Differential Diagnosis of Lung Nodules found using Low Dose CT Rasika Rajapakshe BC Cancer Agency Sindi Ahluwalia Hawkins Centre for the Southern Interior NLST Aug 18, 2020 NLST-703
Development of deep-learning software for the detection, classification, and malignancy risk assessment of lung nodules on LDCT Kenneth Tang AIRdx NLST Aug 18, 2020 NLST-702
Associations between Dietary Plant Seed Consumption and Overall and Cause-Specific Mortality Risk Jiaqi Huang National Cancer Institute PLCO Aug 5, 2020 PLCO-653
Subgroup Identification based on Lung Cancer Risk Prediction Model Jon Steingrimsson Brown University NLST Aug 5, 2020 NLST-701
Germline genetics of prostate cancer, PSA, and BPH using the expanded PLCO GWAS Michael Cook NCI PLCO Aug 5, 2020 PLCO-659
Blood-based biomarkers as a complement to CT screening for lung cancer Edwin Ostrin University of Texas MD Anderson Cancer Center NLST Jul 29, 2020 NLST-698
Deep Learning for Chest X-Ray Radiological Findings Related to Covid-19 Bambang Trilaksono PT Riset Kecerdasan Buatan PLCO Jul 24, 2020 PLCOI-656