Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Machine learning research for endometrial cancer | Mario Lovric | Institute for Anthropological Research | PLCO | Mar 12, 2025 | PLCO-1853 |
| Exploration of Explainable AI Models using Machine Learning for Prostate Cancer Diagnosis | Omoye Esangbedo | University of Derby | PLCO | Mar 12, 2025 | PLCO-1843 |
| AI-Driven Web-Based Tool for Lung Cancer Classification and Treatment Recommendation | Manita Tamang | Southampton Solent University | NLST | Mar 12, 2025 | NLST-1403 |
| Development of an AI based Web Application for Precision Medicine in Human lung cancer | hajar baider | L'ENSA (École Nationale des Sciences Appliquées) de l'Université Abdelmalek Essaadi à Tanger | NLST | Mar 12, 2025 | NLST-1404 |
| PulmoScan | abdellaoui Malek | École supérieure privée d'ingénierie et de technologie | NLST | Mar 12, 2025 | NLST-1405 |
| Use of a Single-Scan Modified Lung-RADS for Pulmonary Nodule Assessment in Resource-Limited Clinical Settings | Saoud Arshad | University Of Lahore | NLST | Mar 12, 2025 | NLST-1401 |
| Assessing the Usefulness of AI in Lung Cancer Detection on Chest Radiographs: A Retrospective Study Using NLST Data | Dennis Robert | Qure.ai Technologies Private Limited | NLST | Mar 5, 2025 | NLST-1400 |
| Manifold Topological Deep Learning for Biomedical Data | Xiang Liu | Department of Mathematics, Michigan State University | NLST | Mar 5, 2025 | NLST-1396 |
| Analyzing the progression of cancers | Guihua Wang | The University of Texas at Dallas | NLST | Mar 5, 2025 | NLST-1393 |
| Epigenetic Characterization of Cell-Free DNA in the National Lung Screening Trial | Xianghong Zhou | UCLA | NLST | Mar 5, 2025 | NLST-1392 |
| Lung cancer screening among current smokers: Expected benefits compared to or in combination with smoking cessation | Hermann Brenner | Deutsches Krebsforschungszentrum (DKFZ) | NLST | Feb 20, 2025 | NLST-1391 |
| Considering explainability and privacy when developing machine learning models to predict early risk of cancer | Christopher Duckworth | University of Southampton | PLCO | Feb 20, 2025 | PLCO-1837 |
| Lung cancer screening among current smokers: Expected benefits compared to or in combination with smoking cessation | Hermann Brenner | Deutsches Krebsforschungszentrum (DKFZ) | PLCO | Feb 20, 2025 | PLCO-1836 |
| An Analysis of Design and Evaluation Metrics in Studies Using AI to Predict Future Cancer from Medical Imaging | Bhramar Mukherjee | Yale University | NLST | Feb 19, 2025 | NLST-1388 |
| Validation of blood metabolites related to diet and cardiovascular mortality | Lei Wang | Vanderbilt University Medical Center | PLCO | Feb 19, 2025 | PLCO-1820 |
| Using deep learning models to infer spatial transcriptomics from H&E slides | Eytan Ruppin | Cancer Data Science Laboratory, NCI NIH | PLCO | Feb 19, 2025 | PLCOI-1832 |
| System for the detection of pulmonary nudules in medical imaging | Moises Vicente Márquez olivera | Instituto Politécnico Nacional | PLCO | Feb 14, 2025 | PLCOI-1826 |
| Overdiagnosis and alternative endpoints in cancer screening trials (OVERCAST) | Hilary Robbins | International Agency for Research on Cancer (IARC) | MINN | Feb 14, 2025 | MINN-7 |
| Does excluding participants on the basis of implausible energy intake introduce selection bias in the association between a diet-related exposure and a health outcome? | Kyle Busse | University of Pennsylvania Perelman School of Medicine | IDATA | Feb 14, 2025 | IDATA-89 |
| Exploring the Etiology of Esophageal Squamous Cell Carcinoma in the Cohort Consortium | Gwen Murphy | Imperial College London | PLCO | Feb 12, 2025 | PLCO-1818 |