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 |
|---|---|---|---|---|---|
| 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 |
| Melanoma GWAS | Maria Teresa Landi | NIH, NCI | PLCO | Apr 5, 2017 | PLCO-268 |
| Application of Deep Learning to Combine Clinical and Imaging Data to Localize, Characterize, and Prognosticate Lung Cancer Patients | Jae Ho Sohn | UCSF | NLST | Apr 4, 2017 | NLST-297 |
| Efficient estimation of AUC in nested case-control studies | Anil Chaturvedi | National Cancer institute | PLCO | Mar 31, 2017 | PLCO-269 |
| Germline genetics of metastasis: an across cancer analysis | Lisa Mirabello | National Cancer Institute, NIH | PLCO | Mar 29, 2017 | PLCO-267 |
| A case-crossover study of air pollution exposure and lung cancer related mortality in PLCO | Jason Wong | National Cancer Institute | PLCO | Mar 24, 2017 | PLCO-264 |
| Determining the prevalence and misclassification of perifissural nodules in the NLST. | Anton Schreuder | Radboudumc | NLST | Mar 22, 2017 | NLST-296 |
| Detection and Diagnosis of Lung Cancer with Deep Learning | Shan Li | Zephex Technology | NLST | Mar 21, 2017 | NLST-295 |
| Temporal dietary patterns and diet quality | Yikyung Park | Washington University in St. Louis | IDATA | Mar 20, 2017 | IDATA-11 |
| Time-Varying Measurement Error Models | Raymond Carroll | Texas A&M University | IDATA | Mar 20, 2017 | IDATA-10 |
| The use of marginal structural model to determine the effect of non-steroidal anti-inflammatory drug use on the risk of prostate and ovarian cancer | Omonefe Omofuma | University of south Carolina | PLCO | Mar 17, 2017 | PLCO-265 |
| Computer aided diagnosis for radiology and histopathology images | zhenhua xu | Independent Researcher, not applicable | NLST | Mar 15, 2017 | NLST-293 |