Geodesic
Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system
Elham Ataei Alizadeh1 ; Sara Costa Faya2 ; Haibo Liu2, 3 ; Damiano Lombardi2 ; Sylvain Bernasconi3 ; Pieter-Jan Guns4 ; Michael Markert1
1 General Pharmacology Group, Department of Drug Discovery Support, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach an der Riss, Germany
2 Sorbonne Université and COMMEDIA team, Inria, Paris, France
3 NOTOCORD, an Instem company, Le Pecq, France
4 Laboratory of Physiopharmacology, University of Antwerp, Antwerp, Belgium
ESAIM. Proceedings, Tome 73 (2023), pp. 2-27.

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The aim of this work is to provide a preliminary comparison of different classes of methods to automatically detect the effect of ageing from in vivo data. The application which motivated this work is related to safety pharmacology, whose major goal is to determine, in a pre-clinical phase, whether a drug is potentially dangerous for the health. In particular, we are going to compare statistical, machine learning and mathematical modelling methods.
DOI : 10.1051/proc/202373002

Elham Ataei Alizadeh 1 ; Sara Costa Faya 2 ; Haibo Liu 2, 3 ; Damiano Lombardi 2 ; Sylvain Bernasconi 3 ; Pieter-Jan Guns 4 ; Michael Markert 1

1 General Pharmacology Group, Department of Drug Discovery Support, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach an der Riss, Germany
2 Sorbonne Université and COMMEDIA team, Inria, Paris, France
3 NOTOCORD, an Instem company, Le Pecq, France
4 Laboratory of Physiopharmacology, University of Antwerp, Antwerp, Belgium 
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     author = {Elham Ataei Alizadeh and Sara Costa Faya and Haibo Liu and Damiano Lombardi and Sylvain Bernasconi and Pieter-Jan Guns and Michael Markert},
     title = {Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog{\textquoteright}s cardiovascular system},
     journal = {ESAIM. Proceedings},
     pages = {2--27},
     publisher = {mathdoc},
     volume = {73},
     year = {2023},
     doi = {10.1051/proc/202373002},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/proc/202373002/}
}
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Elham Ataei Alizadeh; Sara Costa Faya; Haibo Liu; Damiano Lombardi; Sylvain Bernasconi; Pieter-Jan Guns; Michael Markert. Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system. ESAIM. Proceedings, Tome 73 (2023), pp. 2-27. doi : 10.1051/proc/202373002. http://geodesic.mathdoc.fr/articles/10.1051/proc/202373002/

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