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Understanding glioblastoma invasion using physically-guided neural networks with internal variables

Microfluidic capacities for both recreating and monitoring cell cultures have opened the door to the use of Data Science and Machine Learning tools for understanding and simulating tumor evolution under controlled conditions. In this work, we show how these techniques could be applied to study Gliob...

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Detalles Bibliográficos
Autores principales: Ayensa-Jiménez, Jacobo, Doweidar, Mohamed H., Sanz-Herrera, Jose A., Doblare, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009781/
https://www.ncbi.nlm.nih.gov/pubmed/35377875
http://dx.doi.org/10.1371/journal.pcbi.1010019

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