| 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 |
| Automatic Gleason Grading to Predict Survival |
Anne Martel |
Sunnybrook Research Institute |
PLCO |
Oct 21, 2024 |
PLCOI-1716 |
| 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 |
| Incorporating blood biomarker with self reported exercise in PLCO cohort |
Ehsan Irajizad |
University of Texas MD Anderson Cancer Center |
PLCO |
Oct 17, 2024 |
PLCO-1710 |
| From physiology to pathology |
Gabriela Epihova |
University of Cambridge |
PLCO |
Oct 16, 2024 |
PLCO-1711 |
| 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 |
| Use of Digital Pathology and Artificial Intelligence for Prostate Cancer Risk Stratification in the Post-Surgical Setting |
Danielle Croucher |
Artera Inc. |
PLCO |
Oct 11, 2024 |
PLCOI-1703 |
| Evaluating risk factor-based strategies for oversampling of individuals at higher risk of cancer for bioscpecimen collection and prospective assessment of Multi-Cancer Detection assays |
Filip Pirsl |
National Cancer Institute |
PLCO |
Oct 11, 2024 |
PLCO-1704 |
| Fairness of AI use in Healthcare |
Stacy Amadi |
Northwestern University School of Professional Studies |
PLCO |
Oct 11, 2024 |
PLCO-1696 |
| Development of a Risk Analysis and Breast Cancer Education Application |
Rumaisha Afiqah Taqiyya |
Bandung Institute of Technology |
PLCO |
Oct 7, 2024 |
PLCO-1698 |
| External Data Integration in Prostate Cancer Trials |
Md Tuhin Sheikh |
Arizona State University |
PLCO |
Oct 7, 2024 |
PLCO-1694 |
| Study causes of death in patients with Liver Cancer |
Juan Armario Munoz |
University of Ottawa Department of Family Medicine |
PLCO |
Oct 7, 2024 |
PLCO-1695 |
| Machine Learning Ensemble Models In Thyroid Cancer Malignance Prediction And Treatment |
Jahid Hasan |
North South University |
PLCO |
Oct 7, 2024 |
PLCO-1665 |
| Utilization of neural networks to identify and predict future cancer growth with images |
Wenzhi Zhang |
Detroit Country Day School |
NLST |
Sep 30, 2024 |
NLST-1329 |
| Metabolic biomarkers of habitual alcohol use and risk of five cancers |
Ting Zhang |
National Cancer Institute |
PLCO |
Sep 30, 2024 |
PLCO-1686 |
