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 |
|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |