Mathematical Modeling of Non-Small-Cell Lung Cancer Biology through the Experimental Data on Cell Composition and Growth of Patient-Derived Organoids

Mathematical models of non-small-cell lung cancer are powerful tools that use clinical and experimental data to describe various aspects of tumorigenesis. The developed algorithms capture phenotypic changes in the tumor and predict changes in tumor behavior, drug resistance, and clinical outcomes of...

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Detalles Bibliográficos
Autores principales: Sulimanov, Rushan, Koshelev, Konstantin, Makarov, Vladimir, Mezentsev, Alexandre, Durymanov, Mikhail, Ismail, Lilian, Zahid, Komal, Rumyantsev, Yegor, Laskov, Ilya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672646/
https://www.ncbi.nlm.nih.gov/pubmed/38004368
http://dx.doi.org/10.3390/life13112228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10672646/
https://www.ncbi.nlm.nih.gov/pubmed/38004368
http://dx.doi.org/10.3390/life13112228

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