Applications of machine learning for simulations of red blood cells in microfluidic devices

BACKGROUND: For optimization of microfluidic devices for the analysis of blood samples, it is useful to simulate blood cells as elastic objects in flow of blood plasma. In such numerical models, we primarily need to take into consideration the movement and behavior of the dominant component of the b...

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Detalles Bibliográficos
Autores principales: Bachratý, Hynek, Bachratá, Katarína, Chovanec, Michal, Jančigová, Iveta, Smiešková, Monika, Kovalčíková, Kristína
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068868/
https://www.ncbi.nlm.nih.gov/pubmed/32164547
http://dx.doi.org/10.1186/s12859-020-3357-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068868/
https://www.ncbi.nlm.nih.gov/pubmed/32164547
http://dx.doi.org/10.1186/s12859-020-3357-5

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