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 |
|---|---|---|---|---|---|
| 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 |
| REPRODUCIBILITY OF PHYSICAL ACTIVITY MEASURES IN ADULTS AND IMPLICATIONS FOR EPIDEMIOLOGICAL STUDIES | Pedro Saint-Maurice | NCI | IDATA | Jun 7, 2017 | IDATA-12 |
| Towards Precision Prevention: Testing a Machine Learning Algorithm in Pancreatic Cancer | Shannon Lynch | Fox Chase Cancer Center | PLCO | May 30, 2017 | PLCO-277 |
| Deep Learning for Pathology Detection in Chest X-Rays | Ivo Matteo Baltruschat | University Medical Center Hamburg-Eppendorf | PLCO | May 24, 2017 | PLCO-275 |