| 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 |
| 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 |
| Validation of blood metabolites related to diet and cardiovascular mortality |
Lei Wang |
Vanderbilt University Medical Center |
PLCO |
Feb 19, 2025 |
PLCO-1820 |
| 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 |
| 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 |
| 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 |
| Evaluating the predictive performance of outdoor air pollution in the PLCOm2012 model |
Summer Han |
Stanford University |
PLCO |
Jan 27, 2025 |
PLCO-1761 |
| Lipidomic profiles and colorectal cancer risk |
Paolo Boffetta |
State University of New York at Stony Brook |
PLCO |
Jan 27, 2025 |
2024-0132 |
| Automated Data Harmonization |
Mohammed Eslami |
Netrias, LLC |
PLCO |
Jan 13, 2025 |
PLCO-1789 |
