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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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Results: 870 (Showing 41 to 60)
Name Principal Investigator Institution Study Date Approved Project ID
Trustworthy Deep Learning Models for Calcification Assessment in Radiotherapy CT using NLST Data Ivana Isgum Amsterdam University Medical Center NLST Dec 4, 2024 NLST-1362
A nested case-control study from NLST to evaluate a multiplex protein biomarker-based immunoassay for the early detection of bladder cancer Charles Rosser Cedars-Sinai Medical Center NLST Nov 21, 2024 NLST-1360
Chest CT Radiomics and Outcomes Sadeer Al-Kindi Houston Methodist Research Institute NLST Nov 21, 2024 NLST-1359
Improving risk stratification for lung cancer screening using peripheral blood leukocyte DNA methylation: an investigation in the National Lung Screening Trial (NLST) Dominique Michaud Tufts University NLST Nov 19, 2024 NLST-1358
Improved Methods for Comparing Human Radiologists to AI tools Ashesh Rambachan Massachusetts Institute of Technology NLST Nov 12, 2024 NLST-1357
Machine Learning approach for the analysis of lung cancer data to aid the radiologists at global level Tiratharaj Singh Jaypee University of Information Technology (JUIT) NLST Nov 12, 2024 NLST-1355
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
Framework for quantifying the effects of screening interventions using intermediate trial outcomes Vichithranie Madurasinghe University of Warwick NLST Oct 21, 2024 NLST-1344
Correlation of clinical information with imaging values gained from chest CTs analyzed with deep learning algorithm Johannes Hofmanninger contextflow NLST Oct 16, 2024 NLST-1339
Real-Time Medical Device Performance Monitoring with CUSUM Control Chart Constantine Gatsonis Brown University NLST Oct 11, 2024 NLST-1331
Utilization of neural networks to identify and predict future cancer growth with images Wenzhi Zhang Detroit Country Day School NLST Sep 30, 2024 NLST-1329
Integrating Early Detection of Heart Disease with Lung Cancer Screening Powered by AI Morteza Naghavi HeartLung Corporation NLST Sep 19, 2024 NLST-1324
Cloud-based Liquid-biopsy and Radiomics Platform for the Cancer Research Data Commons Chun-Chi Liu EarlyDiagnostics NLST Sep 19, 2024 NLST-1323
Comprehensive Tissue characterization with deep learning models utilizing NLST data for chest CT analysis Damini Dey APQ Health Inc NLST Sep 19, 2024 NLST-1322
Exploring the Relationship Between Lifestyle Factors and Early-Stage Lung Cancer Using Publicly Available U.S. Data Stephen (Jihao) Tao Minot State University NLST Sep 16, 2024 NLST-1321
AI-Driven Radiomic Models for Predicting Lung Cancer Risk and Disease Progression in Asbestos and Silica-Exposed Individuals: A Deep Learning Approach Integrating Clinical and Imaging Data Ziba Gandomkar University of Sydney NLST Sep 5, 2024 NLST-1319