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Approved NLST Projects

Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.

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1-20 of 894
Name Principal Investigator Institution Study Date Approved Project ID
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
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
Validation of multimodal deep learning models for the prediction of risks of lung cancer and adverse cardiovascular events using chest radiographs and clinical data EUIJIN HWANG Seoul National University Hospital NLST Dec 22, 2025 NLST-1487
Evaluating net benefit of individualized screening for lung cancer to identify those who benefits most from it Mohsen Sadatsafavi The University of British Columbia NLST Dec 16, 2025 NLST-1486
External Validation of the LIONS-PREY score with the NLST data Luca Salhoefer University Hospital Essen NLST Dec 2, 2025 NLST-1484
Janus Nicolai Krekiehn Section Biomedical Imaging (SBMI), Intelligent Imaging Lab (i²Lab), Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein (UKSH), Kiel University NLST Dec 2, 2025 NLST-1480
Validation of Self-Reported Lung Cancer Diagnoses in the National Lung Screening Trial (NLST): A Retrospective Analysis of Participant Annual Surveys Peter Bach Delfi Diagnostics, Inc. NLST Nov 13, 2025 NLST-1479
Replication and Comparative Evaluation of Deep Learning Models (Sybil and M3FM) for Lung Cancer Risk Prediction Using NLST Low-Dose CT Scans Aristotelis Tsirigos NYU Langone Health NLST Nov 13, 2025 NLST-1481
Development and Validation of Cancer Risk Prediction Models Using Publicly Available Cohort Data Luke Stetson PreOncology NLST Nov 13, 2025 NLST-1477
Comparison of Recurrent Neural Network (RNN) versus Survival Analysis for Lung Cancer Risk Prediction Li Cheung National Cancer Institute NLST Sep 29, 2025 NLST-1478