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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

Approved Projects
Name Principal Investigator Institution Study Date Approved Project ID
Heterogeneity of screening effects Hormuzd Katki NCI NLST Jul 18, 2023 NLST-1098
Development and validation of a deep learning-based method for lung cancer risk prediction in low-dose chest CT images Haewon Kim Keimyung University Dongsan Hospital NLST Jul 18, 2023 NLST-1097
Application of Predictive Modelling Using Machine Learning Techniques to Predict Survival in Oncology Shanti Neff-Baro Amaris Consulting NLST Jul 18, 2023 NLST-1096
Automated extraction of chest CT derived body composition biomarkers of tissue morphology and texture. Miranda Kirby Toronto Metropolitan University NLST Jul 18, 2023 NLST-1095
Methodologies for modeling clinical performance and utilities of a cancer screening test using NLST trial as an example James Dai GRAIL LLC NLST Jul 3, 2023 NLST-1090
Improving lung cancer risk prediction with artificial intelligence Chiara Paganelli Politecnico di Milano NLST Jun 15, 2023 NLST-1087
Development of a Nodule Risk Calculator using NLST Data Christopher Towe University Hospitals NLST Jun 15, 2023 NLST-1086
Explainable multi-label prediction of respiratory conditions in CTs with multi-task Dirichlet-prior VAE Rachael Harkness University of Leeds NLST Jun 6, 2023 NLST-1084
Development and validation of a report generation model for the low-dose chest CT scans Hyungjin Kim Seoul National University Hospital NLST Jun 2, 2023 NLST-1081
Multimodal AI Algorithms for Diagnosis and Prognosis in Lung Cancer Daniel Rückert Technical University of Munich (TUM) NLST Jun 2, 2023 NLST-1075
Personalizing screening intervals for lung cancer screening using artificial intelligence Scott Adams University of Saskatchewan NLST May 30, 2023 NLST-1064
Exploring the generalization ability of chest XRay and CT pathology detection algorithms Bogdan Bercean S.C. Mindfully Technologies S.R.L. NLST May 30, 2023 NLST-1063
Development and validation of a CT-based prognostication model for diffuse lung parenchymal diseases Hyungjin Kim Seoul National University Hospital NLST May 30, 2023 NLST-1061
Extended follow-up NLST data to support provision of biosample data to requesters Ilana Gareen Brown University NLST May 30, 2023 NLST-1062
Image quality assessment of digitized chest X ray images and feature characterization of "Chest X-ray Age" Tomoki Nakamizo Radiation Effects Research Foundation NLST May 30, 2023 NLST-1071
Develop a ChatGPT-style system for CT scan analysis Neet Patel University of California San Diego NLST May 30, 2023 NLST-1073
Evaluate Artera’s Deep Learning clinical-histologic system as a prognostic classifier for lung cancer patients Erin Stewart Artera Inc NLST May 30, 2023 NLST-1060
Developing an Accurate and Interpretable Risk-Based Model for Lung Cancer Screening Yi Luo Moffitt Cancer Center NLST Apr 19, 2023 NLST-1050
Retrospective Evaluation of CT Based Biomarkers on Cancer and Non-Cancer Related Patient Outcomes Steven Rothenberg The University of Alabama at Birmingham NLST Apr 13, 2023 NLST-1044
AI-based tools to support decision-making in lung cancer screening Johanna Topalis Department of Radiology, University Hospital, LMU Munich NLST Mar 28, 2023 NLST-1034