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

Results: 992 (Showing 1 to 20)
Name Principal Investigator Institution Study Date Approved Project ID
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
Deep Learning-Based Coronary Calcification Risk Prediction: A Clinical Application Study Using the NLST Dataset Qian Tan South China University of Technology NLST Oct 21, 2024 NLST-1343
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
The correlation of LABA treatment and cancer incidence or prognosis of the patients with lung cancer Hua Gao Tongji University NLST Sep 11, 2024 NLST-1320
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
Lung cancer Diagnosis Using Deep Learning Ayomide Abe Sefako Makgatho health sciences university NLST Sep 5, 2024 NLST-1318
AI Enhanced Triage in Lung Cancer Screening Gerardo Hermosillo Valadez Siemens Medical Solutions USA NLST Sep 5, 2024 NLST-1314
Development and Validation of an Intelligent Risk Prediction Model for Lung Diseases Based on the NLST Cohort Chin-Chi Kuo China Medical University Hospital Taiwan NLST Aug 28, 2024 NLST-1313
Application of Dynamic Prediction Models in Lung Cancer Screening: Multi-timepoint Analysis Based on NLST Landmark RCT Dataset and External Validation in Chinese Population ShengLin Zhao Chongqing University Cancer Hospital NLST Aug 28, 2024 NLST-1311
THORAX Eleftherios Trivizakis Foundation for Research and Technology - Hellas NLST Aug 28, 2024 NLST-1312
Building a foundation model of lung health in CT data Ahmed Hosny Ambient, Inc. NLST Aug 23, 2024 NLST-1309
Cancer risk after radiation exposure from low dose lung cancer screening (NCI Only version of NLST-1127) Choonsik Lee National Cancer Institute NLST Aug 19, 2024 NLST-1307
MedRead is a website which will allow its users to read and analyze medical reports safely and effectively. Denith Pramuditha University of Westminster NLST Jul 30, 2024 NLST-1297