Application of autoantibody binding curve characteristics and machine learning methods for improving the diagnostic performance of an early detection test for lung cancer

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Application of autoantibody binding curve characteristics and machine learning methods for improving the diagnostic performance of an early detection test for lung cancer

The EarlyCDT®-Lung test has been technically and clinically validated for the early detection of lung cancer with a sensitivity ~40% and a specificity of ~90% through measurement of a panel of seven serum autoantibodies. The test generates curves of autoantibody binding to a titrated series of capt...

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Bibliographic Details
Main Author:	Allen, Jared
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2023
Subjects:	Autoantibody Biomarkers Lung Cancer Early Detection Machine Learning
Online Access:	https://eprints.nottingham.ac.uk/76628/

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