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Approved Projects

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

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1581-1600 of 2616
Name Principal Investigator Institution Study Date Approved Project ID
Interpretable machine learning models for lung cancer screening Cynthia Rudin Duke NLST Aug 2, 2017 NLST-332
Gist response Patrick Brennan University of Sydney NLST Jul 31, 2017 NLST-333
Pooling Project of Prospective Studies of Diet and Cancer (DCPP) : Alcohol Use and Risk of Cancer Stephanie Smith-Warner Harvard TH Chan School of Public Health PLCO Jul 28, 2017 PLCO-287
Pooling Project of Prospective Studies of Diet and Cancer (DCPP) Stephanie Smith-Warner Harvard TH Chan School of Public Health PLCO Jul 28, 2017 PLCO-286
Role of Image Segmentation Methods in Increasing the Efficiency and Accuracy of Neural Networks in Cancer Detection Zong Zhang N/A NLST Jul 28, 2017 NLST-335
Circulating miRNAs as Biomarkers for Pancreatic Cancer Early Detection and Risk Assessment Xiao Ou Shu Vanderbilt University PLCO Jul 27, 2017 2017-9002
Detection and Diagnosis of Lung & Breast Cancer with Deep Learning Shan Li Zephex Technology PLCO Jul 24, 2017 PLCO-289
Impact of screening and management strategies on the development of metastatic disease in the PLCO Prostate Cancer Screening Trial Scott Eggener University of Chicago PLCO Jul 14, 2017 PLCO-285
Enhancement of pulmonary nodule detection algorithm using large scale LDCT data Seungho Lee Vuno NLST Jul 10, 2017 NLST-322
Precision medicine via survival analysis Yan Li University of Michigan NLST Jul 6, 2017 NLST-326
Advanced Deep Learning for Early Detection and Prognostication in Lung Cancer Zeng Zeng Institute for Infocomm Research NLST Jul 5, 2017 NLST-323
Localised Prostate Cancer Treatment: The Role of Risk-Aversion Nikola Jovanoski Universität Basel PLCO Jul 3, 2017 PLCO-281
Predicting lung cancer prognosis with deep learning Francesco Ciompi Radboud University Medical Center NLST Jun 30, 2017 NLST-325
Targeting low-dose CT to reduce mortality from lung cancer: a machine learning-based analysis of heterogeneous treatment effects in the NLST Aaron Baum Icahn School of Medicine at Mount Sinai NLST Jun 30, 2017 NLST-324
Inference in ROC curves for biomrkers measured in two phase nested case control studies Ziding Feng Dept. of Biostatistics, The University of Texas MD Anderson Cancer Center PLCO Jun 30, 2017 PLCO-282
Using Big Data for Computer-Aided Diagnosis of Chest CTs Ronald Summers National Institutes of Health Clinical Center NLST Jun 30, 2017 NLST-319
Somatic mutations in oral rinses and prospective risk of head and neck cancers Anil Chaturvedi NCI PLCO Jun 29, 2017 2017-0034
Circulating Estrogens, Androgens, and Progestogens and Risk of Breast Cancer in the PLCO Cohort Regina Ziegler National Cancer Institute PLCO Jun 29, 2017 2017-0029
Blood metabolite profiles and risk of developing endometrial cancer Mary Playdon Huntsman Cancer Institute PLCO Jun 29, 2017 2017-0020
Machine learning to differentiate between malignant and benign nodules Parag Chaudhari Mon Health Medical Center NLST Jun 22, 2017 NLST-315