| 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 |
| Evaluating the predictive performance of outdoor air pollution in the PLCOm2012 model |
Summer Han |
Stanford University |
PLCO |
Jan 27, 2025 |
PLCO-1761 |
