Approved Projects
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 |