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

Name Principal Investigator Institution Study Date Approved Project ID
A Radiomics approach to distinguish benign from malignant nodules on Low Dose CT Anant Madabhushi Emory University NLST May 20, 2016 NLST-218
Artificial Intelligence to detect and classify tumors Daniel Meyer Sphera, Inc. NLST May 12, 2016 NLST-215
CAD system for lung cancer Xiaoting Dai College of medical devices and food science, University of Shanghai for Science and Technology NLST May 3, 2016 NLST-213
AI for Lung Nodule Characterization Hugo Aerts Harvard-DFCI NLST Apr 26, 2016 NLST-208
Developing automated algorithms for detection of lung pathology Lily Peng Google LLC NLST Apr 25, 2016 NLST-204
Predicting overall survival using CT and pathological image features Peng Huang Johns Hopkins University NLST Apr 21, 2016 NLST-214
Data mining for NLST Rong Chen University of Maryland, Baltimore NLST Apr 19, 2016 NLST-211
Positive Predictive Value (PPV) trends of lung screening with Low Dose Computed Tomography (LDCT) in next rounds and a prediction model of nodules with higher probability of being true positive Reshad Hassannezhad Tabriz University of Medical Sciences NLST Apr 13, 2016 NLST-210
Using markers of endemic fungal infection to predict malignancy in lung nodules identified on screening CT Laszlo Vaszar Mayo Clinic Arizona NLST Apr 13, 2016 NLST-205
Therapixel-AI Vincent Montalieu Therapixel NLST Apr 12, 2016 NLST-209
Pancreas cancer incidence and mortality by NLST trial arm Pamela Marcus NCI NLST Apr 8, 2016 NLST-206
Development of lung nodule categorization, characterization and quantification on LDCT for lung cancer screening Mannudeep Kalra Massachusetts General Hospital NLST Apr 4, 2016 NLST-203
Extrapulmonary malignancy as a cause of mortality in the NLST Myrna Godoy MD Anderson Cancer Center - The University of Texas NLST Mar 30, 2016 NLST-200
Lung nodule screening and classification using convolutional neural network (CNN) algorithms Mike Liu Raywon Technology Inc NLST Mar 29, 2016 NLST-202
Automated Examination of CT Chests To Determine Optimal Placement of Needle Thoracostomy Matt Strickland University of Toronto, Harvard University NLST Mar 25, 2016 NLST-201
A Risk Prediction Modeling Based on SEM Chenchen He Southwest University, China NLST Mar 10, 2016 NLST-199
Deep Learning on Lung Cancer Diagnosis Liwei Wang Peking University NLST Mar 7, 2016 NLST-198
CADx Development for Lung Nodule Detection and Tumor Malignancy Assessment Kunlin Cao Curacloud Corporation NLST Feb 22, 2016 NLST-195
Use of the NLST CT and CXR Data to Better Understand Laten Tuberculosis and Risk of DIsease Progression William Stringer Harbor-UCLA Medical Center - LABIOMED NLST Feb 17, 2016 NLST-194
Computer Vision Applications for Medical Imaging Jameel Ghata University of Florida NLST Jan 29, 2016 NLST-189