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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
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
Deep learning for lung nodule detection and cancer prediction Quan Chen University of Kentucky NLST Jun 22, 2017 NLST-320
Robust Radiomics Feature Extraction for Lung Cancer Suthirth Vaidya Predible Health NLST Jun 20, 2017 NLST-318
Lung Cancer Early Detection Challenge: Concept to Clinic Isaac Slavitt DrivenData NLST Jun 20, 2017 NLST-317
Evaluation of effects of dietary factors on the risk of colorectal cancer Meilin Wang Nanjing Medical Univeristy PLCO Jun 15, 2017 PLCO-280
Deep Learning to Detect Lung Cancer and Predict Mortality George Washko Brigham and Women's Hospital NLST Jun 14, 2017 NLST-313
Unsupervised feature extraction for benign and malignant pulmonary nodules Matthew Stephens University of Cincinnati NLST Jun 13, 2017 NLST-314
Lung Cancer Risk in Patients with Interstitial Lung Disease Stacey-Ann Whittaker Brown Icahn School of Medicine at Mount Sinai NLST Jun 9, 2017 NLST-310
Using Big Data for Computer-Aided Diagnosis of Chest X-Rays Ronald Summers National Institutes of Health Clinical Center PLCO Jun 9, 2017 PLCO-279
Bayesian probabilistic techniques for cancer growth prediction/ prognosis based on informative features containing significant medical details within the historical CT scans Haroon Rasheed Bahria University,Karachi - 75620 Pakistan NLST Jun 8, 2017 NLST-307
High Performance Computing Enabled Deep Learning for Lung Cancer Classification Derek Ni F. Hoffmann-La Roche AG NLST Jun 8, 2017 NLST-312
Predicting medical outcomes using deep learning with CT chest images Lyle Palmer University of Adelaide NLST Jun 8, 2017 NLST-311