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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 878
Name Principal Investigator Institution Study Date Approved Project ID
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
Development and validation of a neural network to detect and describe lung nodules Alexandre Compas Gleamer SAS NLST Jan 26, 2022 NLST-878
Lung Abnormality Detection using Deep learning Harshil Soni System Level Solutions India Ptv.Ltd. NLST Jan 26, 2022 NLST-875
Fully automated end to end analysis of non-small-cell lung carcinoma using deep learning techniques Eranga Ukwatta University of Guelph NLST Jan 26, 2022 NLST-871
Unsupervised analysis of thorax CT datasets Marian Himstedt University of Luebeck NLST Jan 18, 2022 NLST-870
Federated Validation of Lung Nodule Detection Algorithms. Brian Ayers Gesund AI NLST Jan 18, 2022 NLST-869
Pulmonary Adenocarcinoma of Low Malignant Potential Eric Burks Boston University School Of Medicine NLST Jan 7, 2022 NLST-867
Lower level of education matters when it comes to compliance to lung cancer screening Akeel Alali King Abdullah International Medical Research Center’s (KAIMRC) and King Saud bin Abdulaziz university for health sciences NLST Nov 30, 2021 NLST-856