A blood test-based machine learning model for predicting lung cancer risk

BackgroundThe goal of early detection is individual cancer prediction. For lung cancer (LC), age and smoking history are the primary criteria for annual low-dose CT screening, leaving other populations at risk of being overlooked. Machine learning (ML) is a promising method to identify complex patte...

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Bibliographic Details

Published in:	Frontiers in Medicine
Main Authors:	Lihi Schwartz, Naor Matania, Matanel Levi, Teddy Lazebnik, Shiri Kushnir, Noga Yosef, Assaf Hoogi, Dekel Shlomi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Subjects:	lung cancer artificial intelligence machine learning blood test prediction model
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1577451/full