| Blood Analysis-Driven Machine Learning for Ovarian Cancer Detection |
Ivan Shtepliuk |
Linköping University |
PLCO |
Apr 21, 2025 |
PLCO-1879 |
| Pilot Study for serum and plasma samples |
Camargo Costanza |
NIH |
PLCO |
Apr 3, 2025 |
2025-9010 |
| Genetic and environmental risk factors for multiple primary cancers |
Sonja Berndt |
National Cancer Institute |
PLCO |
Apr 2, 2025 |
PLCO-1873 |
| Leveraging Self-Supervised Vision Transformers for Non-Invasive Lung Cancer Biomarker Prediction from Full-Resolution Chest X-Rays |
Tianyu Han |
University of Pennsylvania |
PLCO |
Mar 25, 2025 |
PLCOI-1862 |
| Exploratory assessment of datasets |
Amanda Skarlupka |
National Cancer Institute - Division of Cancer Prevention |
PLCO |
Mar 21, 2025 |
PLCO-1865 |
| Genome-Wide Association Study of Acute Myeloid Leukemia in Genomic Studies in Blood and Marrow Transplantation |
Filip Pirsl |
National Cancer Institute |
PLCO |
Mar 18, 2025 |
PLCO-1861 |
| A European “shield” against colorectal cancer (ONCOSCREEN) |
Amal Elgammal |
Amal Elgammal |
PLCO |
Mar 18, 2025 |
PLCO-1845 |
| Development and Validation of a Machine Learning Model for Predicting Sentinel Lymph Node Metastasis in Melanoma Patients |
Diego Mendez |
Hospital El Pino |
PLCO |
Mar 18, 2025 |
PLCO-1855 |
| Sample selection for multiple myeloma proteomics study |
Eleanor Watts |
National Cancer Institute |
PLCO |
Mar 18, 2025 |
PLCO-1856 |
| Foundation Models for Multi-Cancer Screening and Prognostics using PLCO Data |
Jia Wu |
University of Texas MD Anderson Cancer Center |
PLCO |
Mar 12, 2025 |
PLCOI-1857 |
| Enhancing Decision-Making with Real-World Evidence: Population Adjustments, Outcome Prediction, and Cost-Effectiveness Analytics |
Reut Lanyado |
Reut Lanyado |
PLCO |
Mar 12, 2025 |
PLCO-1849 |
| 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 |
| 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 |
| 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 |
| Exploring the Etiology of Esophageal Squamous Cell Carcinoma in the Cohort Consortium |
Gwen Murphy |
Imperial College London |
PLCO |
Feb 12, 2025 |
PLCO-1818 |
| 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 |
