From histology to metabolism: unraveling cell response from cell culture evolution using physically-guided neural networks.

Authors

  • Jacobo Ayensa-Jiménez Tissue MicroEnvironment (TME) - I3A
  • Mohamed H. Doweidar Applied Mechanics and Bioengineering (AMB) - I3A
  • Manuel Doblaré Tissue Microenvironment (TME) - I3A

DOI:

https://doi.org/10.26754/jjii3a.20216015

Abstract

The combination of experiments in microfluidic devices with artificial intelligence techniques makes it possible to study complex cellular phenomena that are difficult to face with traditional methods. In this work, physically-guided neural networks are used to explain cellular metabolic changes and predict the behavior of glioblastoma cultures in response to variable stimuli, taking the first steps towards personalized in silico medicine.

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Author Biography

Jacobo Ayensa-Jiménez, Tissue MicroEnvironment (TME) - I3A

Jacobo Ayensa Jiménez is a Ph.D. student at the Mechanical Engineering Department, University of Zaragoza, Spain, focused on mathematical modelling of tumour microenvironements from a Data Science point of view.

He received his M.Sc. in mathematics and M.Eng. in Civil Engineering at the CFIS center, in the Polytechnic University of Catalonia; whose studies are considered to be the most technically demanding in Spain.  J. Ayensa began his professional career in the research department of Abengoa (Abengoa Research) working on the uncertainty incorporation in mechanical system designs, such as CSPP troughs and heliostats, while attending a M.Eng. in Advanced Design in Mechanical Engineering in the University of Seville. Later, he moved to the academic world for starting his ph.D. at the Aragon Institut of Engineering Research. During his ph.D program, he has participated in Data Science projects in collaboration with the Aragon Institute of Technology and in international Data Science competitions, achieving outstanding results (top 2%).

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Published

2021-11-12

How to Cite

Ayensa-Jiménez, J., Doweidar, M. H., & Doblaré, M. (2021). From histology to metabolism: unraveling cell response from cell culture evolution using physically-guided neural networks. Jornada De Jóvenes Investigadores Del I3A, 9. https://doi.org/10.26754/jjii3a.20216015

Issue

Vol. 9 (2021): Actas de la X Jornada de Jóvenes Investigadores e Investigadoras del I3A - 21 de octubre de 2021

Section

Artículos (Ingeniería Biomédica)