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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
Manifold Topological Deep Learning for Biomedical Data Xiang Liu Department of Mathematics, Michigan State University NLST Mar 5, 2025 NLST-1396
Epigenetic Characterization of Cell-Free DNA in the National Lung Screening Trial Xianghong Zhou UCLA NLST Mar 5, 2025 NLST-1392
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
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
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
Leveraging causal inference approaches to bridge knowledge gaps in colorectal cancer screening Jackie Finik CUNY Graduate School of Public Health and Health Policy PLCO Feb 12, 2025 PLCO-1821
Leveraging Digital Pathology to Characterize Intra-Tumor Heterogeneity in Prostate Cancer for Optimizing Radiation Therapy Juri Baruah Quantum Biosciences PLCO Feb 10, 2025 PLCOI-1816
Investigating Survival Dynamics in Oncological Patients Through Machine Learning and Deep Learning Approaches Yukti Tripathi Amity University NLST Feb 6, 2025 NLST-1386
Hyperinsulinemia and proinflammatory dietary pattern and the risk of esophageal cancers in the Prostate, Lung, Colon, and Ovary Prospective Study Ni Shi The Ohio State University PLCO Feb 6, 2025 PLCO-1809
The impact of race and ethnicity on access to ovarian cancer screening and outcomes and the role of familial reproductive factors in modulating risk in diverse populations Amanda McCoy Lincoln Memorial University Debusk College of Osteopathic Medicine PLCO Feb 6, 2025 PLCO-1808
Racial Bias Mitigation in Deep-Learning Assisted Prediction of Colorectal Cancer Onset Archana Gurudu Paradise Valley High School PLCO Feb 6, 2025 PLCO-1810
Multimodal Imaging and Pathomics for Precision Prostate Cancer Prognosis Mohamed Omar Cedars-Sinai Medical Center PLCO Feb 4, 2025 PLCOI-1803
Validation of an extracellular vesicle-based screening assay for detecting early-stage ovarian cancer Toumy Guettouche Mercy BioAnalytics, Inc. PLCO Feb 3, 2025 2024-0114
The relationsip of vitamin D and prostate cancer in men 45-70 Dave Howell Liberty university PLCO Jan 30, 2025 PLCO-1804
Predicting Pancreatic Cancer Using Machine Learning and Neural Networks Isaac Schwabe University of Reading PLCO Jan 27, 2025 PLCO-1801
Towards reliable clinical decision support: Why popular stochastic deep learning approaches fail at epistemic uncertainty estimation Malte Blattmann Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig PLCO Jan 27, 2025 PLCO-1797
Retraining Large Language Models for Cancer Diagnosis and Treatment Alejandro Alvarez Tecnológico Nacional de Mexico campus CENIDET PLCO Jan 27, 2025 PLCO-1795