Mechanistic modelling of astrocytic metabolism in physiological geometries reveals spatiotemporal effects potentially driving neurodegeneration

Reference : Mechanistic modelling of astrocytic metabolism in physiological geometries reveals sp...


	Document type :	Scientific Presentations in Universities or Research Centers : Scientific presentation in universities or research centers
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/47600

Title :	Mechanistic modelling of astrocytic metabolism in physiological geometries reveals spatiotemporal effects potentially driving neurodegeneration
Language :	English
Author, co-author :	Farina, Sofia [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Claus, Susanne []
	Hale, Jack [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Voorsluijs, Valerie [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
	Skupin, Alexander [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Integrative Cell Signalling >]
	Bordas, Stéphane [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	May-2021
Event name :	DTU DRIVEN Colloquium
Event date :	21-05-2021
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/47600
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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	File	Commentary	Version	Size	Access
Open access	Poster_DTU-Farina_Sofia.pdf		Publisher postprint	4.09 MB	View/Open

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