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 |
|---|---|---|---|---|---|
| Apply new statistical methods to assess screening efficacy in NLST trial addressing overdiagnosis | ying huang | Fred Hutchinson Cancer Research Center | NLST | Mar 7, 2022 | NLST-891 |
| Thyroid carcinoma relation with ovaries using Machine Learning Techniques | Geetanjali Rave | Ramaiah Institute of Technology | NLST | Mar 2, 2022 | NLST-890 |
| Early Detection of Ovarian Cancer with Interpretable AI | Weitong Huang | The Australian National University | PLCO | Mar 2, 2022 | PLCO-933 |
| Application and Analysis of Mathematical tools in biological model | Priya Dubey | Amity University | PLCO | Mar 2, 2022 | PLCO-934 |
| Predicting Endometriosis Using Machine Learning | Jessica Duffield | University of the West of England | PLCO | Mar 2, 2022 | PLCO-928 |
| Statistical Modelling on Colon Cancer | Nessrin Bukhshim | University of South Florida | PLCO | Mar 2, 2022 | PLCO-925 |
| Subtype and grade classification using histopathologic slides | Gal Aviram | Curatio - DL | PLCO | Mar 2, 2022 | PLCOI-924 |
| A Deep Learning Model for Improved Cancer Risk Prediction in Sequential Lung Screening X-Rays | Regina Barzilay | Massachusetts Institute of Technology | PLCO | Feb 17, 2022 | PLCOI-919 |
| Self-supervised Training in chest X-rays domain. | Song Luo | Northwestern University | PLCO | Feb 16, 2022 | PLCOI-920 |
| Computerized image analysis of morphology, texture on H&E slides of colon cancer patients | Anant Madabhushi | Emory University | PLCO | Feb 16, 2022 | PLCOI-917 |
| PLCO data integration to PD research as control | Andrew Singleton | National Institute of Aging | PLCO | Feb 16, 2022 | PLCO-914 |
| Identification and Characterization of Genetic Variants Predisposing Cancer | Jeffrey Smith | Vanderbilt University Medical Center | PLCO | Feb 16, 2022 | PLCO-918 |
| Bachelor's thesis project: Investigating how machine learning can be applied to predict pancreatic cancer | Arvid Eriksson | Royal Institute of Technology (KTH) | PLCO | Feb 16, 2022 | PLCO-916 |
| Risk of Prostate Cancer Death in the PLCO Cohort Based on a Four Kallekrein Panel | Jonathan Shoag | Case Western Reserve University | PLCO | Feb 16, 2022 | PLCO-912 |
| Machine Learning for Breast Cancer Risk Prediction | Sigrid Sandström | Stockholm University | PLCO | Feb 16, 2022 | PLCO-910 |
| Validating the performance of Deep Neural Network models for lung nodule detection | Naglis Ramanauskas | Oxipit, UAB | NLST | Feb 16, 2022 | NLST-886 |
| A Deep Learning Model for Improved Cancer Risk Prediction in Sequential Lung Screening X-Rays | Regina Barzilay | Massachusetts Institute of Technology | NLST | Feb 16, 2022 | NLST-885 |
| Building integrative multi-modal and interpretable AI systems for personalized lung cancer therapy | Ruijiang Li | Stanford University | NLST | Feb 16, 2022 | NLST-884 |
| Optimization of lung cancer screening interval by deep learning-based risk prediction | Adam Alessio | Michigan State University | NLST | Feb 16, 2022 | NLST-883 |
| Personalised lung cancer treatment through outcome predictions and patient stratification | Charles-Antoine Collins Fekete | University College London | NLST | Feb 16, 2022 | NLST-881 |