Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods

Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods

IntroductionMinimally invasive diagnostics based on liquid biopsy makes it possible early detection of lung cancer (LC). The blood plasma circulating cell-free DNA (cfDNA) fragments reflect the genome and chromatin status and are considered as integral cancer biomarkers and the biological entities f...

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Main Authors: Ivan O. Meshkov, Alexander P. Koturgin, Pavel V. Ershov, Liubov A. Safonova, Julia A. Remizova, Valentina V. Maksyutina, Ekaterina D. Maralova, Vasilisa A. Astafieva, Alexey A. Ivashechkin, Boris D. Ignatiev, Antonida V. Makhotenko, Ekaterina A. Snigir, Valentin V. Makarov, Vladimir S. Yudin, Anton A. Keskinov, Sergey M. Yudin, Anna S. Makarova, Veronika I. Skvortsova
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
machine learning methods
lung cancer
fragmentome
circulating cell-free DNA
cfDNA
diagnostic classification model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1435428/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1435428/full

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