| Geospatial and Socioeconomic Analysis of Young-Onset Colorectal Cancer in the United States |
Anish Bhandari |
Southern Methodist University (SMU) |
PLCO |
Sep 30, 2024 |
PLCO-1677 |
| Plant-based diets and microbiome |
Rachael Stolzenberg-Solomon |
DCEG/NCI |
PLCO |
Sep 26, 2024 |
PLCO-1678 |
| Dietary sodium consumption and oral microbiome |
Ting Zhang |
National Cancer Institute |
PLCO |
Sep 26, 2024 |
PLCO-1673 |
| Advanced data science techniques for prostate, lung, colorectal and ovarian cancer databases to better understand patient disparities, treatment options and outcomes |
Ming Wang |
Case Western University |
PLCO |
Sep 19, 2024 |
PLCOI-1672 |
| A Prostate cancer CDSS system with multi Model Approach with Image And Number data |
Asma Sadia Khan |
Chittagong University of Engineering and Technology |
PLCO |
Sep 19, 2024 |
PLCOI-1674 |
| Integrating Early Detection of Heart Disease with Lung Cancer Screening Powered by AI |
Morteza Naghavi |
HeartLung Corporation |
NLST |
Sep 19, 2024 |
NLST-1324 |
| Cloud-based Liquid-biopsy and Radiomics Platform for the Cancer Research Data Commons |
Chun-Chi Liu |
EarlyDiagnostics |
NLST |
Sep 19, 2024 |
NLST-1323 |
| 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 |
