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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.

Filter results of approved projects table below

Showing Most Recent
1-20 of 920
Approved Projects
Name Principal Investigator Institution Study Date Approved Project ID
Open and reproducible thoracic CT phenotypic age for mortality risk in the National Lung Screening Trial Kin Meng Eric Fang National University Hospital (Singapore) Pte Ltd NLST Oct 12, 2026 NLST-1530
Developing a multimodal foundation model integrating NLST CT and H&E images for improved lung cancer diagnosis Nancy Guo SUNY Binghamton University NLST Oct 12, 2026 NLST-1538
Preliminary Evaluation and Comparative Analysis of Lung Cancer Risk Prediction Approaches Using NLST Low-Dose CT and Clinical Data Doyeon Lee Hecto NLST Sep 28, 2026 NLST-1526
Estimating lung cancer screening as treatment guidelines change Jon Steingrimsson Brown University NLST Aug 31, 2026 NLST-1531
Parameter-Efficient Fine-Tuning of a 3D CT Foundation Model for Lung Cancer Risk Prediction Akash Pattnaik HOPPR AI NLST Aug 24, 2026 NLST-1528
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
Diagnostic Pathways for Lung Cancer Pamela Marcus NCI NLST Aug 20, 2026 NLST-1523
Imaging-Based Mortality Prediction in the National Lung Screening Trial Metin Gurcan Wake Forest University Health Sciences NLST Jul 27, 2026 NLST-1524
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
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
NeuroAI-Lung: Longitudinal Risk Stratification Using NLST Low-Dose CT Data Richard Tran Trove-AI NLST Jul 14, 2026 NLST-1519
Impact of deep learning lung cancer risk models on clinical decisions with blood-based diagnostics Michael Kammer Biodesix, inc NLST Jun 8, 2026 NLST-1515
Scalable and Reproducible Deep Learning Strategies for Lung Cancer Screening Imaging Stefano Diciotti Alma Mater Studiorum - Department DEI NLST Jun 1, 2026 NLST-1514
Deep Learning to Improve Screening of Interstitial Lung Diseases (NLST-1505 continued) Charles Hatt IMBIO, a 4D Medical Company NLST Jun 1, 2026 NLST-1506
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