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 |
|---|---|---|---|---|---|
| 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 |
| Association of Coffee Drinking with Leukocyte Telomere Length | Erikka Loftfield | Yale School of Public Health | PLCO | May 24, 2017 | PLCO-271 |
| A metabolomic analysis of multiple myeloma development and progression | Jonathan Hofmann | National Cancer Institute | PLCO | May 23, 2017 | 2016-0009 |
| Evaluating comorbidities and life expectancy in patients undergoing LDCT screening in the real world setting | Jonathan Iaccarino | Boston University Medical Campus | NLST | May 19, 2017 | NLST-309 |
| Deep Learning for Pathology Image Analysis | Lily Peng | PLCO | May 16, 2017 | PLCO-257 | |
| Computer Vision AI to Diagnose Lung Cancer from CT Images | Peter Szoldan | MedInnoScan Kft. | NLST | May 12, 2017 | NLST-306 |
| AI-Assisted CT Image Analysis for Accurate Lung Cancer Screening and Early Detection | Yizhou Yu | The University of Hong Kong | NLST | May 11, 2017 | NLST-305 |
| Machine Learning Methods for Nodule Detection and Classification | Xiaohui Xie | University of California, Irvine | NLST | May 11, 2017 | NLST-304 |
| Outcomes associated with significant incidental findings in lung cancer screening | Ilana Gareen | Brown University | NLST | May 10, 2017 | NLST-308 |
| Effect of Dietary Omega-3 fatty acids and GPR120 Single Nucleotide Polymorphisms on Prostate Cancer Chemoprevention | William Aronson | University of California Los Angeles | PLCO | May 8, 2017 | PLCO-274 |
| Lung cancer diagnosis by using deep learning | Qinming He | College of Computer Science and Technology, Zhejiang University | NLST | May 4, 2017 | NLST-298 |
| Primary treatment assignment, time-to-treatment, and prostate cancer outcomes in PLCO | Dudith Pierre-Victor | National Cancer Institute | PLCO | May 3, 2017 | PLCO-273 |
| Automatic Detection and Classification System for Lung Lesion | Takashi Shirahata | Hitachi, Ltd. | NLST | Apr 27, 2017 | NLST-302 |
| Using Deep Learning for Cancer Nodule Detection | Ashish Gupta | Auburn University | NLST | Apr 25, 2017 | NLST-300 |
| Defining the role of lipids and metabolic factors as risk factor for prostate cancer and prostate cancer aggressiveness. A PhD project | Adel Aref | The University of Adelaide Freemasons Foundation Centre for Men’s Health South Australian Health and Medical Research Institute | PLCO | Apr 20, 2017 | PLCO-272 |
| Clinical and cost effectiveness of lung cancer screening by low-dose CT | Chris Hyde | University of Exeter | NLST | Apr 20, 2017 | NLST-301 |
| Use of neural networks in tissue abnormality detection | Rafal Grzeszczuk | AGH University of Science and Technology | NLST | Apr 11, 2017 | NLST-299 |