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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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221-240 of 885
Name Principal Investigator Institution Study Date Approved Project ID
Machine-learning-based recurrence prediction in lung cancer Pawel Badura Silesian University of Technology NLST May 23, 2022 NLST-916
Applying deep learning image segmentation to improve coronary artery calcium scoring for cardiovascular outcome prediction Sanjay Aneja Yale School of Medicine NLST Apr 25, 2022 NLST-911
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
Deep based cancer/nodule detection project WenJia Song University of Queensland NLST Mar 22, 2022 NLST-894
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
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
Progression prediction of lung cancer using deep learning model Sunghoon Kwon Seoul National University NLST Feb 2, 2022 NLST-879
Assessing the Generalizability of Findings from the NLST Louise Henderson University of North Carolina at Chapel Hill NLST Jan 26, 2022 NLST-876