| Explanation-Based Selective Referral in Bimodal Lung Cancer Risk Prediction Using Clinical and Low-Dose CT Data |
Abdul Sadka |
Aston University |
NLST |
Aug 24, 2026 |
NLST-1529 |
| Digital Twin–Enabled Prediction of Toxicity and Tumor Control in Prostate Cancer Radiotherapy |
Samantha Rincon Sabatino |
InfotechSoft |
PLCO |
Aug 24, 2026 |
PLCOI-2075 |
| Diagnostic Pathways for Lung Cancer |
Pamela Marcus |
NCI |
NLST |
Aug 20, 2026 |
NLST-1523 |
| Multi-Omics Profiling of Per- and Polyfluoroalkyl Substances and Chemical Exposures in Relation to Bladder and Upper Tract Urothelial Cancer Risk |
Jongeun Rhee |
Henry M. Jackson Foundation for the Advancement of Military Medicine (Center for Prostate Disease Research, Murtha Cancer Center Research Program) |
MACS |
Aug 17, 2026 |
2026-0140 |
| Serum concentrations of per- and polyfluoroalkyl substances and kidney cancer risk: A nested case-control study among military aviators and aviation support personnel |
Jonathan Hofmann |
National Cancer Institute |
MACS |
Aug 17, 2026 |
2026-0131 |
| Machine Learning to Refine Breast Staging for Prediction of Axillary Node Status and Prognosis |
Mark Sherman |
Mayo Clinic, Jacksonville, Florida |
PLCO |
Aug 10, 2026 |
PLCOI-2066 |
| Virtual Staining–Enabled Macrophage Profiling in Ovarian & Lung Cancer |
Anant Madabhushi |
Emory University |
PLCO |
Jul 27, 2026 |
PLCOI-2068 |
| Adherence to the 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations and risk of mortality in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial |
Fiona Malcomson |
Newcastle University |
PLCO |
Jul 27, 2026 |
PLCO-2069 |
| Imaging-Based Mortality Prediction in the National Lung Screening Trial |
Metin Gurcan |
Wake Forest University Health Sciences |
NLST |
Jul 27, 2026 |
NLST-1524 |
| H&E and IHC correlates of early surveillance reclassification in localized prostate cancer |
MOHAMED OMAR |
Cedars-Sinai Medical Center |
EPPT |
Jul 23, 2026 |
EPPT-5 |
| Developing scalable machine learning-based approaches to classifying significant incidental findings in patients undergoing lung cancer screening |
Ilana Gareen |
Brown University |
NLST |
Jul 20, 2026 |
NLST-1517 |
| AEGIS — AI-Enabled Genomic and Integrated Stratification for Multi-Cancer Risk: Deep-Learning Development and Internal Validation in the PLCO Cohort |
Aneel Paulus |
West Eastern Health |
PLCO |
Jul 14, 2026 |
PLCO-2064 |
| Development of generalizable pathology foundation models for cancer prognosis using PLCO whole slide images |
Marvin Lerousseau |
Spotlight Medical, SAS |
PLCO |
Jul 14, 2026 |
PLCOI-2060 |
| External Validation of a Deep-Learning Atypical Mitosis Based Prognostic Model Using the PLCO Pathology Image Repository |
William Chen |
University of California, San Francisco |
PLCO |
Jul 14, 2026 |
PLCOI-2059 |
| Developing a risk prediction model for future colorectal neoplasia |
AASMA SHAUKAT |
NYU Langone Health |
PLCO |
Jul 14, 2026 |
PLCOI-2062 |
| NeuroAI-PLCO Images: Longitudinal Risk Stratification Using PLCO Imaging and Structured Data |
Richard Tran |
Trove-AI |
PLCO |
Jul 14, 2026 |
PLCOI-2056 |
| Developing Quantitative AI-histologic Signatures Associated with Prognosis and Treatment Benefit Across Cancer Types in the PLCO Trial |
Haochen Zhang |
Valar Labs |
PLCO |
Jul 14, 2026 |
PLCOI-2054 |
| Wildfire Smoke Exposure and Cancer-Related Outcomes in the NLST Cohort |
Shuguang Leng |
University of New Mexico |
NLST |
Jul 14, 2026 |
NLST-1518 |
| Vision–Language Learning for Generalizable Pulmonary Nodule Characterization in Low-Dose CT Screening |
Benjamin Wild |
Berlin Institute of Health at Charité |
NLST |
Jul 14, 2026 |
NLST-1521 |
| AEGIS-Lung — Deep-Learning Development and Internal Validation of an Integrated Lung-Cancer Risk Model in the NLST Cohort |
Aneel Paulus |
West Eastern Health |
NLST |
Jul 14, 2026 |
NLST-1522 |
