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