| Comprehensive Tissue characterization with deep learning models utilizing NLST data for chest CT analysis |
Damini Dey |
APQ Health Inc |
NLST |
Sep 19, 2024 |
NLST-1322 |
| Exploring the Relationship Between Lifestyle Factors and Early-Stage Lung Cancer Using Publicly Available U.S. Data |
Stephen (Jihao) Tao |
Minot State University |
NLST |
Sep 16, 2024 |
NLST-1321 |
| Single-molecule nanopore-based identification of methylome signatures in cfDNA for early colorectal cancer detection |
Hanlee Ji |
LELAND STANFORD JUNIOR UNIVERSITY, THE |
PLCO |
Sep 13, 2024 |
2023-0067 |
| The interaction between body mass index and hormonal receptor status in breast cancer |
Amira Mahdi |
University of Limerick |
PLCO |
Sep 11, 2024 |
PLCO-1655 |
| Measurement error correction in food substitution analysis |
Tianying Wang |
Colorado State University |
IDATA |
Sep 9, 2024 |
IDATA-81 |
| Using large-scale cohort studies to develop a novel AI tool for identifying lifetime, environmental and occupational determinants of healthy ageing (DARE project) |
Paolo Boffetta |
University of Bologna |
PLCO |
Sep 5, 2024 |
PLCO-1657 |
| AI-Driven Radiomic Models for Predicting Lung Cancer Risk and Disease Progression in Asbestos and Silica-Exposed Individuals: A Deep Learning Approach Integrating Clinical and Imaging Data |
Ziba Gandomkar |
University of Sydney |
NLST |
Sep 5, 2024 |
NLST-1319 |
| Lung cancer Diagnosis Using Deep Learning |
Ayomide Abe |
Sefako Makgatho health sciences university |
NLST |
Sep 5, 2024 |
NLST-1318 |
| AI Enhanced Triage in Lung Cancer Screening |
Gerardo Hermosillo Valadez |
Siemens Medical Solutions USA |
NLST |
Sep 5, 2024 |
NLST-1314 |
| Accounting for measurement error in high-dimensional metabolomics studies using the LASSO |
Sharon Xie |
University of Pennsylvania |
IDATA |
Sep 4, 2024 |
IDATA-80 |
| Integration of Preprocessing Methods and Deep Learning Models for Predicting Cancer Improvement or Deterioration Using Longitudinal Data |
Pilar Pazos-Lago |
Old Dominion University |
PLCO |
Aug 28, 2024 |
PLCO-1654 |
| Ovarian Cancer Classification using machine learning approaches |
DSS Laskshmi Kumari P |
Puducherry Technological University |
PLCO |
Aug 28, 2024 |
PLCO-1651 |
| Development and Validation of an Intelligent Risk Prediction Model for Lung Diseases Based on the NLST Cohort |
Chin-Chi Kuo |
China Medical University Hospital Taiwan |
NLST |
Aug 28, 2024 |
NLST-1313 |
| THORAX |
Eleftherios Trivizakis |
Foundation for Research and Technology - Hellas |
NLST |
Aug 28, 2024 |
NLST-1312 |
| Building a foundation model of lung health in CT data |
Ahmed Hosny |
Ambient, Inc. |
NLST |
Aug 23, 2024 |
NLST-1309 |
| Etiologic heterogeneity across head and neck cancer subsites |
Anil Chaturvedi |
National Cancer Institute |
PLCO |
Aug 23, 2024 |
PLCO-1652 |
| New Epidemiologic Methods for Reducing Measurement Error and Misclassification Bias in Cancer Epidemiology |
Donna Spiegelman |
Yale University |
IDATA |
Aug 22, 2024 |
IDATA-79 |
| Accounting for measurement error in studies with repeated measures using LASSO |
Sharon Xie |
University of Pennsylvania |
IDATA |
Aug 22, 2024 |
IDATA-78 |
| Cancer risk after radiation exposure from low dose lung cancer screening (NCI Only version of NLST-1127) |
Choonsik Lee |
National Cancer Institute |
NLST |
Aug 19, 2024 |
NLST-1307 |
| Metabolomics profile of an insulinemic dietary pattern and colorectal cancer risk in phenotypically and geographically diverse global populations |
Fred Tabung |
The Ohio State University |
IDATA |
Aug 15, 2024 |
IDATA-77 |
