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://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
Lung Cancer Nodule Detection Using Algorithm. MUHAMMAD UMAIR NED UNIVERSITY NLST Jul 7, 2020 NLST-688
Adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations and pancreatic cancer incidence and mortality in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Guo-Chao Zhong The Second Affiliated Hospital of Chongqing Medical University PLCO Jun 30, 2020 PLCO-642
Development of CNN-based model in predicting patients outcomes Shaunagh McDermott Massachusetts General Hospital NLST Jun 30, 2020 NLST-686
Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. Marcelo Oliveira Universidade Federal de Alagoas (UFAL) NLST Jun 29, 2020 NLST-685
Genderd differences in stage and radiotherapy Cristina Sarasqueta Instituto Biodonostia PLCO Jun 26, 2020 PLCO-640
Varying preferences for predictive information among patients at risk for lung cancer Gary Weissman University of Pennsylvania Perelman School of Medicine NLST Jun 26, 2020 NLST-682
Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan Cecile Dupont MD Start NLST Jun 26, 2020 NLST-683
Deep learning mortality prediction in NLST data Joseph Jacob University College London NLST Jun 26, 2020 NLST-681
Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities Suryadipto Sarkar Arizona State University NLST Jun 22, 2020 NLST-679
Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT Nana Boame Brown University NLST Jun 22, 2020 NLST-680
Evaluating six-step parsimonious quadratic logistic regression for risk prediction Stuart Baker National Cancer Institute PLCO Jun 18, 2020 PLCO-637
Verifying Explanatory Methods Thomas Lukasiewicz University of Oxford PLCO Jun 18, 2020 PLCO-638
Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images Ulrike Peters Fred Hutchinson Cancer Research Center PLCO Jun 18, 2020 PLCOI-634
AI algorithms for Chest Xray screening Renga Bashyam Biocliq Technologies PLCO Jun 18, 2020 PLCOI-639
AI-based scoring system for prostate cancer Okyaz Eminaga Stanford University School of Medicine PLCO Jun 18, 2020 PLCOI-635
Deep Learning to detect Chronic Obstructive Pulmonary Disease Surya Bhatt University of Alabama at Birmingham NLST Jun 18, 2020 NLST-678
Treatment selection and outcome of CT-screened early-stage non-small cell lung cancer Alexander Chi Jiangsu Provincial Cancer Hospital NLST Jun 18, 2020 NLST-677
Evaluating six-step parsimonious quadratic logistic regression for risk prediction Stuart Baker National Cancer Institute NLST Jun 12, 2020 NLST-676
Diet and lifestyle factors and lung cancer risk and mortality: Classification and regression tree analysis Qian Wang Icahn School of Medicine at Mount Sinai Hospital PLCO Jun 9, 2020 PLCO-633
Coffee consumption and risk of renal cell carcinoma in the PLCO cohort Jongeun Rhee NCI PLCO Jun 9, 2020 PLCO-632