| Heterogeneity of screening effects (Original Project: NLST-1098) |
Hormuzd Katki |
American Cancer Society |
NLST |
May 29, 2026 |
NLST-1509 |
| Studies to use extended NLST follow-up data (Original Project: NLST-626) |
Hormuzd Katki |
American Cancer Society |
NLST |
May 11, 2026 |
NLST-1508 |
| Validation of the Michigan General Cancer Screening Model (M-GCSM) Using the National Lung Screening Trial Dataset |
Tanner Caverly |
Department of Veterans Affairs |
NLST |
May 11, 2026 |
NLST-1513 |
| Using Surrogate Endpoints to Improve the Design and Analysis of Randomized Screening Trials |
Yingqi Zhao |
Fred Hutchinson Cancer Center |
NLST |
May 4, 2026 |
NLST-1511 |
| Deep Learning to Improve Screening of Interstitial Lung Diseases |
Asif Abdul Hameed |
Henry Ford Health |
NLST |
Apr 28, 2026 |
NLST-1505 |
| Estimating the lung cancer mortality benefit of screening within lung cancer risk strata in the National Lung Screening Trial (Original Project: 201204-0017) |
Hormuzd Katki |
American Cancer Society |
NLST |
Apr 28, 2026 |
NLST-1507 |
| Treatment-Conditioned World Models for Lung Cancer Progression Prediction Using Longitudinal Low-Dose CT Imaging |
Luca Pegolotti |
Nucleo Research, Inc. |
NLST |
Apr 20, 2026 |
NLST-1502 |
| Integrating Early Detection of Heart Disease with Lung Cancer Powered by AI-CXR |
Morteza Naghavi |
HeartLung Technologies |
NLST |
Mar 31, 2026 |
NLST-1501 |
| Identifying Early ILD using Quantitative CT (QCT) Thresholds |
Jennifer Wang |
University of Michigan |
NLST |
Mar 23, 2026 |
NLST-1499 |
| Lung cancer incidence following negative biopsy |
Paul Pinsky |
NCI |
NLST |
Mar 16, 2026 |
NLST-1498 |
| Standardization of Imaging Interpretation for Early Lung Cancer Detection, Intelligent Learning Platforms, and Public Education Outreach |
Dr. Yeun-Chung Chang |
The Radiological Society of the Republic of China (RSROC) |
NLST |
Feb 20, 2026 |
NLST-1493 |
| Calibration of a microsimulation model of lung cancer natural history in Australia |
Marianne Weber |
The University of Sydney |
NLST |
Feb 4, 2026 |
NLST-1495 |
| Evaluating lung cancer screening by competing mortality |
Rebecca Landy |
American Cancer Society |
NLST |
Jan 29, 2026 |
NLST-1496 |
| Identifying histological features of lung cancer using deep learning |
Jennifer Beane |
Trustees of Boston University |
NLST |
Jan 26, 2026 |
NLST-1494 |
| Prevalence and Prognostic Significance of Dendriform Pulmonary Ossification in the National Lung Screening Trial |
Kyung Hee Lee |
University of Pittsburgh |
NLST |
Jan 26, 2026 |
NLST-1491 |
| Foundation models for precision non-small cell lung cancer treatment |
Mitchell Chen |
Imperial College London |
NLST |
Jan 26, 2026 |
NLST-1490 |
| Deep learning–based survival prediction in lung cancer using NLST clinical data and imaging-derived biomarkers |
Yuming Jiang |
Wake Forest University Health Sciences |
NLST |
Jan 7, 2026 |
NLST-1489 |
| Learning about the effectiveness of lung cancer screening in real-world target populations |
Sarah Robertson |
Dartmouth College |
NLST |
Dec 22, 2025 |
NLST-1488 |
| Opportunistic osteoporosis screening in heavy smokers |
Maximilian Löffler |
University Medical Center Freiburg |
NLST |
Dec 22, 2025 |
NLST-1482 |
| Database Composition and Knowledge Generation for Image-Based Diagnostic Support Systems Medical, Considering Big Data |
Agma Juci Machado Traina |
Institute of Mathematical and Computer Sciences, University of Sao Paulo |
NLST |
Dec 22, 2025 |
NLST-1483 |
