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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: 871 (Showing 181 to 200)
Name Principal Investigator Institution Study Date Approved Project ID
Risk assessment of individuals with screen-detected lung nodules Stephen Duffy Queen Mary University of London NLST Jan 12, 2023 NLST-1007
Non-lung cancer incidence in NLST Ellen Chang GRAIL, LLC NLST Dec 8, 2022 NLST-995
Machine Learning with Low Dose CT Data Bennett Landman Vanderbilt University NLST Dec 8, 2022 NLST-993
What does the National Lung Cancer Screening Trial imply for the effectiveness of computerized tomography screening in the US population? Issa Dahabreh Harvard University NLST Nov 2, 2022 NLST-983
Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT Piotr Slomka Cedars-Sinai NLST Nov 1, 2022 NLST-981
Development of CAD for lung nodule screening Naïm Jalal GE HEALTHCARE NLST Oct 27, 2022 NLST-977
Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials Alison Rustagi University of California, San Francisco NLST Oct 18, 2022 NLST-972
Machine Learning Analysis for Lung Cancer Progression Anderson Nnewihe Johnson & Johnson Enterprise Innovation, Inc. NLST Oct 18, 2022 NLST-973
Comparative analysis of the cost-effectiveness and implementation of lung cancer screening with LDCT in the US and EU Tanya Rajabi Semmelweis University NLST Oct 11, 2022 NLST-968
Lung cancer risk assessment Adam Vasserstrom Nucleix NLST Oct 11, 2022 NLST-965
Synthetic generation and tagging of CT and pathology images Jonathan Pearson NHS Commissioning Board (NHS England) NLST Sep 28, 2022 NLST-961
AI based lung nodule detection and measurement tool for CT imaging of the chest Mohammed Amro Synthesis Health Intelligence Inc. NLST Sep 28, 2022 NLST-960
Leveraging Machine Learning to Optimize Donor Recipient Size Matching in Heart Transplantation Veli Topkara Columbia University Medical Center NLST Sep 20, 2022 NLST-959
Analyzing Pulmonary Nodules to Spot Lung Cancer in Low-Dose CT scans Cheng He Mirxes Labs Pte. Ltd., Singapore NLST Sep 8, 2022 NLST-958
Similar patch image retreival for cancer diagnosis Moti Moravia Datability NLST Sep 6, 2022 NLST-954
Eye-tracking to find missed Lung Nodules Gregory DiGirolamo University of Massachusetts, Chan Medical School NLST Sep 6, 2022 NLST-953
Improving detection of lung cancer using radiomics and blood-based biomarkers Kate Bloch The University of Manchester NLST Sep 6, 2022 NLST-951
Self-supervised multi-modal neural networks for predicting response to immunotherapy in lung cancer patients. Raquel Perez-Lopez Vall d'Hebron Institute of Oncology NLST Sep 6, 2022 NLST-950
Automated pulmonary nodule tracking – development and evaluation Yiting Xie Merative NLST Aug 29, 2022 NLST-949
A semi-supervised deep clustering framework for personalized post-test risk-stratification in lung cancer screening Stefano Diciotti Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), Alma Mater Studiorum - University of Bologna NLST Aug 2, 2022 NLST-942