| A Hybridized machine learning based survival prediction of ovarian cyst |
Ovoh Oghenefego |
Delta State University Abraka |
PLCO |
Nov 12, 2024 |
PLCO-1740 |
| Identifying Survival Phenotypes in High-Grade Serous Ovarian Cancer by Application of AI to Digital Pathology |
Ernst Lengyel |
University of Chicago |
PLCO |
Nov 12, 2024 |
PLCOI-1737 |
| Using deep learning models to infer spatial transcriptomics from H&E slides |
Eytan Ruppin |
Cancer Data Science Laboratory, NCI |
NLST |
Nov 5, 2024 |
NLST-1353 |
| Comparing the accuracy of machine learning diagnosis of lung cancer from different data modalities |
Polina Golland |
Massachusetts Institute of Technology |
NLST |
Nov 5, 2024 |
NLST-1349 |
| Radiomics-Driven Predictive Lung Cancer Models |
Patrice Essien |
George Washington University |
NLST |
Nov 5, 2024 |
NLST-1347 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
NLST |
Nov 5, 2024 |
NLST-1345 |
| Quantification of Interstitial Lung Abnormalities Using Data from the National Lung Screening Trial |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Nov 5, 2024 |
NLST-1350 |
| Surrogate endpoints for cancer screening trials |
Adam Brentnall |
Queen Mary University of London |
LSS |
Nov 5, 2024 |
LSS-9 |
| Prostate Cancer Screening using Machine Learning |
Jerry John Rawlings Mensah |
Virginia Commonwealth University |
PLCO |
Nov 5, 2024 |
PLCO-1732 |
| Science Fair |
Caspar McNulty |
Swanson Middle School |
PLCO |
Nov 5, 2024 |
PLCO-1725 |
| 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 |
| 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 |
| 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 |
| Investigating the Relationship Between Comprehensively Measured Physical Behaviors and Cardiovascular Diseases in Cancer Survivors |
Greg Welk |
Iowa State University |
IDATA |
Oct 18, 2024 |
IDATA-82 |
| 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 |
