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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7068868/ https://ncbi.nlm.nih.gov/pubmed/32164547 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3357-5 |
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