Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Michał Sieczczyński"'
Autor:
Krzysztof Pastuszak, Michał Sieczczyński, Marta Dzięgielewska, Rafał Wolniak, Agata Drewnowska, Marcel Korpal, Laura Zembrzuska, Anna Supernat, Anna J. Żaczek
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Circulating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patien
Externí odkaz:
https://doaj.org/article/10d2554a7efa45ff861095eb45d03b7a
Autor:
Sebastian Cygert, Krzysztof Pastuszak, Franciszek Górski, Michał Sieczczyński, Piotr Juszczyk, Antoni Rutkowski, Sebastian Lewalski, Robert Różański, Maksym Albin Jopek, Jacek Jassem, Andrzej Czyżewski, Thomas Wurdinger, Myron G. Best, Anna J. Żaczek, Anna Supernat
Publikováno v:
Cygert, S, Pastuszak, K, Górski, F, Sieczczyński, M, Juszczyk, P, Rutkowski, A, Lewalski, S, Różański, R, Jopek, M A, Jassem, J, Czyżewski, A, Wurdinger, T, Best, M G, Żaczek, A J & Supernat, A 2023, ' Platelet-Based Liquid Biopsies through the Lens of Machine Learning ', Cancers, vol. 15, no. 8, 2336 . https://doi.org/10.3390/cancers15082336
Cancers; Volume 15; Issue 8; Pages: 2336
Cancers, 15(8):2336. Multidisciplinary Digital Publishing Institute (MDPI)
Cancers; Volume 15; Issue 8; Pages: 2336
Cancers, 15(8):2336. Multidisciplinary Digital Publishing Institute (MDPI)
Liquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the cl