| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
LSS |
Nov 5, 2024 |
LSS-9 |
| Analysis of Chest X-rays Based on Deep Learning for Health Risk Assessment |
Yu Fei Huang |
China Medical University |
PLCO |
Nov 5, 2024 |
PLCOI-1730 |
| Association of dietary fat intake and sedentary time with ovarian cancer risk |
Bingyan Li |
Soochow University |
PLCO |
Nov 5, 2024 |
PLCO-1726 |
| Association Between Protein Diet Score And Colorectal Adenoma Risk: A Prospective Study |
Haitao Gu |
The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China. |
PLCO |
Nov 5, 2024 |
PLCO-1724 |
| Development of Models for Predicting Clinical Outcomes from H&E Stained Whole Slide Images |
Zoltan Szallasi |
Boston Children's Hospital |
PLCO |
Nov 5, 2024 |
PLCOI-1720 |
| Pan-cancer analysis of inflammatory diet, tumor immune infiltration, and survival |
QianXue Wu |
Chongqing Medical University |
PLCO |
Nov 5, 2024 |
PLCOI-1718 |
| The growing incidence of of colorectal cancer among those under 55 years age in The United States |
Harrinique Deveaux |
Florida State University |
PLCO |
Nov 5, 2024 |
PLCO-1727 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
PLCO |
Nov 5, 2024 |
PLCO-1719 |
| Framework for quantifying the effects of screening interventions using intermediate trial outcomes |
Vichithranie Madurasinghe |
University of Warwick |
NLST |
Oct 21, 2024 |
NLST-1344 |
| Deep Learning-Based Coronary Calcification Risk Prediction: A Clinical Application Study Using the NLST Dataset |
Qian Tan |
South China University of Technology |
NLST |
Oct 21, 2024 |
NLST-1343 |
| Semi or Unsupervised Human Activity Recognition Using Deep Learning |
Jiwon Lee |
University of Cincinnati |
IDATA |
Oct 18, 2024 |
IDATA-85 |
| Impact of dietary assessment methods on reports of dietary supplement product use and nutrient intakes among adults in the Interactive Diet and Activity Tracking in AARP (IDATA) study |
Regan Bailey |
Texas A&M, AgriLife |
IDATA |
Oct 18, 2024 |
IDATA-83 |
| An explainable liver disease screening-based machine learning model |
Angélica Atehortúa |
ISGlobal Barcelona Institute for Global Health |
PLCO |
Oct 17, 2024 |
PLCO-1712 |
| AI-based Pan-Cancer Survival Outcome Prediction and Biomarker Discovery |
Jana Lipkova |
University of California, Irvine |
PLCO |
Oct 17, 2024 |
PLCOI-1715 |
| From physiology to pathology |
Gabriela Epihova |
University of Cambridge |
PLCO |
Oct 16, 2024 |
PLCO-1711 |
| Harnessing TME depicted by histological images to improve lung cancer prognosis through a deep learning system |
Ruiyi Yang |
China Medical University |
PLCO |
Oct 16, 2024 |
PLCOI-1709 |
| BMI trajectory and the risk of endometrial cancer |
Yuanjian Wang |
Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University |
PLCO |
Oct 16, 2024 |
PLCO-1707 |
| Correlation of clinical information with imaging values gained from chest CTs analyzed with deep learning algorithm |
Johannes Hofmanninger |
contextflow |
NLST |
Oct 16, 2024 |
NLST-1339 |
| Real-Time Medical Device Performance Monitoring with CUSUM Control Chart |
Constantine Gatsonis |
Brown University |
NLST |
Oct 11, 2024 |
NLST-1331 |
| Anti-inflammatory diet and tumor microenvironment during colorectal carcinogenesis |
QianXue Wu |
Chongqing Medical University |
PLCO |
Oct 11, 2024 |
PLCOI-1691 |
