Intelligent Microfluidics: combination of deep learning and microfluidics to predict glioblastoma evolution.

Authors

  • Marina Pérez-Aliacar , Tissue Microenvironment Lab (TMELab) - I3A
  • Mohamed H. Doweidar , Applied Mechanics and Bioengineering (AMB) - I3A
  • Manuel Doblaré , Tissue MicroEnvironment (TME) - I3A
  • Jacobo Ayensa-Jiménez , Tissue MicroEnvironment (TME) - I3A

DOI:

https://doi.org/10.26754/jjii3a.20216014

Abstract

The broad possibilities offered by microfluidic devices in relation to massive data monitoring and acquisition open the door to the use of deep learning techniques to cell culture monitoring, a field that remains little explored. In this work, a neural network has been developed to identify, from images of glioblastoma cell cultures in microfluidic devices, the parameters governing this tumour's behaviour.

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Published

2021-11-12

How to Cite

Pérez-Aliacar, M., Doweidar, M. H., Doblaré, M., & Ayensa-Jiménez, J. (2021). Intelligent Microfluidics: combination of deep learning and microfluidics to predict glioblastoma evolution. Jornada De Jóvenes Investigadores Del I3A, 9. https://doi.org/10.26754/jjii3a.20216014