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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Autors principals:	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:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-01-01
Col·lecció:	Frontiers in Medicine
Matèries:	machine learning methods lung cancer fragmentome circulating cell-free DNA cfDNA diagnostic classification model
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1435428/full
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