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 |
|---|---|---|---|---|---|
| TransparentAI: High-Accuracy and Explainable Melanoma Classification System | Björn Friedrich | Carl von Ossietzky University, Medicine and Health Sciences, Department of Health Services Research, Division for Assistance Systems and Medical Device Technology | PLCO | Jul 15, 2024 | PLCO-1623 |
| Automated Lung Cancer Assessment with Explainable AI and Uncertainty Estimation | Laura Brattain | University of Central Florida | PLCO | Jul 15, 2024 | PLCOI-1619 |
| The Impact of Obesity on the Diagnosis and Treatment of Colorectal Cancer | Jaime Savitz | Keck Graduate Institute (KGI) | PLCO | Jul 15, 2024 | PLCO-1618 |
| Grand Challenges on the development of AI algorithms for lung cancer screening. | Colin Jacobs | Radboud University Medical Center | NLST | Jul 8, 2024 | NLST-1282 |
| Development and validation of risk prediction models for lung cancer for the ENGAGE framework | Iakovos Toumazis | The University of Texas MD Anderson Cancer Center | NLST | Jul 8, 2024 | NLST-1275 |
| Validation of the deep learning models on NLST data (Chest radiographs) | yoona hwang | VUNO Inc. | NLST | Jul 8, 2024 | NLST-1274 |
| Advancing Precision Oncology Through Digital Profiling: Integrating Multimodal Data for Personalized Cancer Treatment | Abdul Azeez Irfan | Sri Lanka Institute of Information Technology | PLCO | Jul 8, 2024 | PLCO-1579 |
| Detecting possible individuals with benefit from ovarian cancer screening: a counterfactual prediction modelling study | David van Klaveren | Erasmus University Medical Center | PLCO | Jul 8, 2024 | PLCO-1606 |
| Structural nature of time-related biases in cancer screening studies: Using PLCO Trial data to inform causal diagrams and simulation | Matthew Coates | University of California, Los Angeles | PLCO | Jul 8, 2024 | PLCO-1615 |
| Survival prediction and extraction of novel microscopic diagnostic patterns in prostate cancer | Johannes Lotz | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | PLCO | Jul 8, 2024 | PLCOI-1612 |
| Biomarkers for Head and Neck Cancer | Uday Kumbhar | Innotech Precision Medicine | PLCO | Jul 8, 2024 | PLCO-1571 |
| An interdisciplinary approach to investigate factors influencing the changes in age-specific incidence of ovarian cancer. | Imogen Rogers | University of Sussex | PLCO | Jul 8, 2024 | PLCO-1605 |
| Development and validation of risk prediction models for lung cancer for the ENGAGE framework | Iakovos Toumazis | The University of Texas MD Anderson Cancer Center | PLCO | Jun 24, 2024 | PLCO-1603 |
| Marker Discovery and Prognostic Modeling in Prostate Cancer to Identify Optimal Therapy and Intervention. | sumit maan | Indian Institute of Technology, Mandi | PLCO | Jun 24, 2024 | PLCOI-1594 |
| Using population-based healthcare data to investigate the risk of mortality or relapse after radiotherapy for prostate cancer | Bill Nailon | University of Edinburgh | PLCO | Jun 24, 2024 | PLCO-1601 |
| SEGMENTATION AND CLASSIFICATION OF LUNG CANCER USING CNN MODELS | Ridwanullah Alabi | Kwara State University | NLST | Jun 24, 2024 | NLST-1277 |
| Genetics of prostate cancer survival in African-American men | Robert Klein | Icahn School of Medicine at Mount Sinai | PLCO | Jun 17, 2024 | 2024-0110 |
| AI-Enhanced Exploration of Lung Cancer Risk Factors | Antonio Jesus Diaz Honrubia | Universidad Politécnica de Madrid | NLST | Jun 17, 2024 | NLST-1273 |
| SynapticEdge: Deep learning-based diagnostic tool for lung cancer pathology images | Oke Dimas Asmara | University of Groningen | NLST | Jun 17, 2024 | NLST-1272 |
| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection | Mohammad Monir Uddin | North South University | NLST | Jun 17, 2024 | NLST-1270 |