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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
Deep learning using medical image for CAD research. LIANJUN Mei Terralogic Technologies NLST Jun 17, 2016 NLST-224
Tumor infiltrating lymphocytes in colorectal cancer Andrew Chan Massachusetts General Hospital and Harvard Medical School PLCO Jun 16, 2016 2016-0012
Lung cancer malignancy prediction tool using chest CT and open-source machine learning Padraig Cantillon-Murphy University College Cork NLST Jun 15, 2016 NLST-219
Image processing algorithm to screen for lung cancer on radiology images Alexandros Karargyris IBM PLCO Jun 15, 2016 PLCO-214
Early Detection of Lung Cancer Using Machine Learning: Creating Algorithms to Identify CT Scans of Lung Cancer Nodules Michael Blueglass Yorktown High School NLST Jun 14, 2016 NLST-225
The association of paraspinous muscle size and density and T12 vertebral bone mineral density and mortality in older adults Leon Lenchik Wake Forest School of Medicine NLST Jun 7, 2016 NLST-223
Automated Lung Segmentation for Tumor Tracking Marwan Sati Merge Healthcare an IBM Company NLST Jun 7, 2016 NLST-197
Instrumental variable method Jung In Kim UNC-CH PLCO Jun 3, 2016 PLCO-213
Repeated measures of metabolomic profiles and pancreatic cancer in PLCO Rachael Solomon DCEG/NCI PLCO Jun 2, 2016 2016-0003
Validation of serum autoantibody for pancreatic cancer early detection Johannes Fahrmann MD Anderson Cancer Center PLCO Jun 2, 2016 2016-0018
Role of diet and metabolism in risk of lethal prostate cancer in a PLCO cohort Nima Sharifi Cleveland Clinic PLCO Jun 1, 2016 2016-0015
A Genome-Wide Scan to Detect Loci Associated with Multiple Primary Cancers Sonja Berndt National Cancer Institute PLCO May 31, 2016 PLCO-210
A Novel Approach to Facilitate Interoperability between Clinical Decision Support Systems and Electronic Health Records Ran Wei Rutgers University - New Jersey Medical Shcool NLST May 26, 2016 NLST-222
A Radiomics approach to distinguish benign from malignant nodules on Low Dose CT Anant Madabhushi Emory University NLST May 20, 2016 NLST-218
Artificial Intelligence to detect and classify tumors Daniel Meyer Sphera, Inc. NLST May 12, 2016 NLST-215
CAD system for lung cancer Xiaoting Dai College of medical devices and food science, University of Shanghai for Science and Technology NLST May 3, 2016 NLST-213
AI for Lung Nodule Characterization Hugo Aerts Harvard-DFCI NLST Apr 26, 2016 NLST-208
A genome-wide survival analysis of non-small cell lung cancers David Christiani Harvard University PLCO Apr 26, 2016 PLCO-208
Developing automated algorithms for detection of lung pathology Lily Peng Google LLC NLST Apr 25, 2016 NLST-204
Predicting overall survival using CT and pathological image features Peng Huang Johns Hopkins University NLST Apr 21, 2016 NLST-214