Skip to Main Content

An official website of the United States government

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
Cancer detection using deep learning Hunter Park Innovation Dx PLCO Oct 6, 2016 PLCO-234
LDCT Cardiovascular Automatic Biomarker Screening Study Eldad Elnekave Zebra Medical Vision, LTD NLST Oct 4, 2016 NLST-246
Automatic detection of abnormalities on frontal Chest X-Ray Eldad Elnekave Zebra Medical Vision PLCO Sep 30, 2016 PLCO-232
A convolutional neural network based approach to detect small size tumor tissue at early stage Xinjun Zhang Indiana University Bloomington PLCO Sep 30, 2016 PLCO-227
re-analyze PSA screening data in PLCO trial Gary Strauss tufts medical center PLCO Sep 30, 2016 PLCO-231
Region of interest segmentation in pathology image Yun Jiang Peking University NLST Sep 28, 2016 NLST-240
Expert Witness, Medical Malpractice Case for Missed Lung Mass Daniel Pennington Mercy Medical Center North Iowa NLST Sep 26, 2016 NLST-244
Lung cancer diagnosis in real time using deep learning AI techniques over cloud Reddy Reddy MCE NLST Sep 26, 2016 NLST-242
Association of Physical Activity, Risk of Ovarian Cancer and Cancer Related Biomarkers Kathryn Schmitz Penn State University College of Medicine PLCO Sep 23, 2016 PLCO-228
Molecular characterization of breast tumors in relation to risk factors and survival Montserrat Garcia-Closas National Cancer Institute PLCO Sep 22, 2016 2016-0017
The Relationship Of Cancer Characteristics And Patient Outcome With Time To Lung Cancer Diagnosis After An Abnormal Screening CT Sushilkumar Sonavane University of Alabama at Birmingham NLST Sep 19, 2016 NLST-243
Lifestyle risk factors for head and neck cancer Mia Hashibe University of Utah and Huntsman Cancer Institute PLCO Sep 16, 2016 PLCO-229
Improved lung cancer screening with cognitive computing Shawn Stapleton Philips Research North America NLST Sep 16, 2016 NLST-241
A machine learning approach for lung nodule classification. Alexander Kagen Mount Sinai Hospital System NLST Sep 2, 2016 NLST-239
Predictive medical journeys for reduction of financial toxicity Srulik Dvorsky TailorMed PLCO Sep 2, 2016 PLCO-225
Assessment as intervention: Examining behavioral and anthropometric response to longitudinal dietary and exercise monitoring in older adults. David Finitsis Hartford Healthcare Cancer Institute IDATA Aug 31, 2016 IDATA-5
Classification of lung lesions using a convolutional neural network Shipeng Xie 1.Nanjing University of Posts and Telecommunications 2.University of Pennsylvania NLST Aug 31, 2016 NLST-238
A RISK-STRATIFIED APPROACH TO PROSTATE CANCER SCREENING IN THE PROSTATE, LUNG, COLORECTAL AND OVARIAN TRIAL PARTICIPANTS Firas Abdollah Henry Ford Hospital PLCO Aug 31, 2016 PLCO-226
Male pattern baldness and risk of mortality and cancer outcomes Wen-Yi Huang National Cancer Institute, NIH PLCO Aug 29, 2016 PLCO-223
Automatic detection and classification of lung abnormalities via deep learning and machine learning Igor Barani Enlitic PLCO Aug 24, 2016 PLCO-222