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 |
|---|---|---|---|---|---|
| Deep learning mortality prediction in NLST data | Joseph Jacob | University College London | NLST | Jun 26, 2020 | NLST-681 |
| Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities | Suryadipto Sarkar | Arizona State University | NLST | Jun 22, 2020 | NLST-679 |
| Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT | Nana Boame | Brown University | NLST | Jun 22, 2020 | NLST-680 |
| Evaluating six-step parsimonious quadratic logistic regression for risk prediction | Stuart Baker | National Cancer Institute | PLCO | Jun 18, 2020 | PLCO-637 |
| Verifying Explanatory Methods | Thomas Lukasiewicz | University of Oxford | PLCO | Jun 18, 2020 | PLCO-638 |
| Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images | Ulrike Peters | Fred Hutchinson Cancer Center | PLCO | Jun 18, 2020 | PLCOI-634 |
| AI algorithms for Chest Xray screening | Renga Bashyam | Biocliq Technologies | PLCO | Jun 18, 2020 | PLCOI-639 |
| AI-based scoring system for prostate cancer | Okyaz Eminaga | Stanford University School of Medicine | PLCO | Jun 18, 2020 | PLCOI-635 |
| Deep Learning to detect Chronic Obstructive Pulmonary Disease | Surya Bhatt | University of Alabama at Birmingham | NLST | Jun 18, 2020 | NLST-678 |
| Evaluating six-step parsimonious quadratic logistic regression for risk prediction | Stuart Baker | National Cancer Institute | NLST | Jun 12, 2020 | NLST-676 |
| Diet and lifestyle factors and lung cancer risk and mortality: Classification and regression tree analysis | Qian Wang | University Hospitals Seidman Cancer Center | PLCO | Jun 9, 2020 | PLCO-633 |
| Coffee consumption and risk of renal cell carcinoma in the PLCO cohort | Jongeun Rhee | NCI | PLCO | Jun 9, 2020 | PLCO-632 |
| Comparative Effectiveness of Different Lung Cancer Treatments | Chi-Fu Yang | Stanford | NLST | Jun 9, 2020 | NLST-675 |
| Genome wide association study (GWAS) of cholangiocarcinoma (CCA) | Katherine McGlynn | National Cancer Institute | PLCO | Jun 2, 2020 | PLCO-631 |
| GSTM1-deletion in relation to cancer risk | Ludmila Prokunina-Olsson | NCI | PLCO | Jun 1, 2020 | PLCO-629 |
| Prostate BPC3 | Neal Freedman | NCI | PLCO | May 26, 2020 | 2004-9000 |
| Interpretability of machine learning based prediction models for ovarian cancer classification using PLCO dataset | Khyati Shah | Liverpool John Moores University, UK | PLCO | May 20, 2020 | PLCO-628 |
| Generalization of chest x-ray deep learning models | Santiago Ibanez Caturla | Hospital Universitario Virgen de la Arrixaca | PLCO | May 18, 2020 | PLCOI-625 |
| A Generalizable Data Framework towards Precision Radiotherapy | Jun Deng | Yale University | PLCO | May 18, 2020 | PLCOI-626 |
| Visceral Obesity is associated with adverse lung cancer outcomes | Saikrishna Yendamuri | Roswell Park Comprehensive Cancer Center | NLST | May 12, 2020 | NLST-669 |