| 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 |
| Identification of Quantitative AI-histologic signatures associated with outcomes in colorectal cancer |
RICHARD GOLDBERG |
Valar Labs |
PLCO |
Jan 27, 2025 |
PLCOI-1794 |
| Bidirectional Siamese Masked Autoencoders for Lung Cancer Prediction from Low-Dose CT Scans |
Aiden Yun |
The Nueva School |
NLST |
Jan 27, 2025 |
NLST-1384 |
| Lipidomic profiles and colorectal cancer risk |
Paolo Boffetta |
State University of New York at Stony Brook |
PLCO |
Jan 27, 2025 |
2024-0132 |
| New Statistical Methods for the Analysis of Longitudinal Compositional Data |
Erika Shults |
Southern Methodist University |
IDATA |
Jan 24, 2025 |
IDATA-88 |
| AI enabled Prostate cancer detection using radiomics based features |
Mangayarkarasi R |
Vellore Institute of Technology - Vellore |
PLCO |
Jan 13, 2025 |
PLCOI-1782 |
| Automated Data Harmonization |
Mohammed Eslami |
Netrias, LLC |
PLCO |
Jan 13, 2025 |
PLCO-1789 |
| Use of PLCO data to evaluate the performance of cancer risk models (extramural) |
Thomas Ahearn |
Division of Cancer Genetics and Epidemiology, NCI |
PLCO |
Jan 13, 2025 |
PLCO-1791 |
| Utilization of Deep Learning Architectures for the Automated Detection of Pulmonary tumor and Tuberculosis in Thoracic Radiographic Imaging |
Mutlu Avci |
Çukurova University |
NLST |
Jan 10, 2025 |
NLST-1380 |
| Integrating AI into Radiology: Automated Detection of Pulmonary Emphysema |
Daniel Babalola |
University of Pennsylvania |
NLST |
Jan 10, 2025 |
NLST-1379 |
