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

Data-Only Studies
Biospecimen Studies
Name Principal Investigator Institution Study Date Approved Project ID
Cancer Types Comparison and Analysis of them (statistical) Nikos Letsios Mediterranean College (Collaboration with University of Derby) NLST Apr 8, 2022 NLST-907
Calibration of a microsimulation model of lung cancer natural history in Australia Marianne Weber Cancer Council New South Wales NLST Apr 4, 2022 NLST-906
Development of Deep Learning algortihms for the automated Calcium Scoring identification from radiological studies Fernando Martin WellSpan Health NLST Apr 4, 2022 NLST-905
Lung Nodule Detection Asma Alkhaldi Saudi Data and Artificial Intelligence Authority (SDAIA) NLST Mar 30, 2022 NLST-896
X-ray Dissectography Improves Lung Nodule Detection Chuang Niu Rensselaer Polytechnic Institute NLST Mar 30, 2022 NLST-900
Validation of a survival prediction model in participants with lung cancer Hyungjin Kim Seoul National University Hospital NLST Mar 24, 2022 NLST-899
Emphysema quantification using lung cancer screening CT scans: diagnostic and prognostic value Hyungjin Kim Seoul National University Hospital NLST Mar 24, 2022 NLST-898
Dynamic evolution and subtype qualitative analysis of early lung nodule from longitudinal CT images based on deep model Changmiao Wang Shenzhen Research Institute of Big Data NLST Mar 22, 2022 NLST-897
Deep based cancer/nodule detection project WenJia Song University of Queensland NLST Mar 22, 2022 NLST-894
Using generative adversarial network for data augmentation to improve classification of lung cancer Shuting Huang Guangdong University of Technology NLST Mar 22, 2022 NLST-892
Identification of actionable lung nodules with low-dose computed tomography screening: Characterizing the effects on observer performance of a personalized Artificial Intelligence feedback Jessica Sieren University of Iowa NLST Mar 21, 2022 NLST-895
Apply new statistical methods to assess screening efficacy in NLST trial addressing overdiagnosis ying huang Fred Hutchinson Cancer Research Center NLST Mar 7, 2022 NLST-891
Thyroid carcinoma relation with ovaries using Machine Learning Techniques Geetanjali Rave Ramaiah Institute of Technology NLST Mar 2, 2022 NLST-890
Application for accessing NLST pathology images to validate the proposed prognostic modeling method Road Zhang Southwest Petroleum University NLST Feb 16, 2022 NLST-887
Validating the performance of Deep Neural Network models for lung nodule detection Naglis Ramanauskas Oxipit, UAB NLST Feb 16, 2022 NLST-886
A Deep Learning Model for Improved Cancer Risk Prediction in Sequential Lung Screening X-Rays Regina Barzilay Massachusetts Institute of Technology NLST Feb 16, 2022 NLST-885
Building integrative multi-modal and interpretable AI systems for personalized lung cancer therapy Ruijiang Li Stanford University NLST Feb 16, 2022 NLST-884
Optimization of lung cancer screening interval by deep learning-based risk prediction Adam Alessio Michigan State University NLST Feb 16, 2022 NLST-883
Personalised lung cancer treatment through outcome predictions and patient stratification Charles-Antoine Collins Fekete University College London NLST Feb 16, 2022 NLST-881
External Validation of an Intelligent Diagnosis Model for LDCT. Zhangyan Lyu Tianjin Medical University Cancer Institute and Hospital NLST Feb 2, 2022 NLST-880