In Silico Clinical Trials for Cardiovascular Disease

A Finite Element and Machine Learning Approach

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Éditeur :

Springer


Paru le : 2024-07-27



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Description

This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field: finite element modeling, system biology modeling for drug optimization, artificial intelligence approach for medical image processing, as well as pharmacokinetic and AI modeling. Part II provides use cases to describe how in silico clinical trials of cardiovascular disease are applied to specific cardiovascular diseases: carotid artery plaque modeling, aorta stenosis modeling, stent biodegradation modeling, surrogate AI model for left ventricle modeling, and more.
This book is geared toward upper-level undergraduate and graduate students as well as for researchers in the domains of bioengineering, biomechanics, biomedical engineering and medicine.

Pages
426 pages
Collection
n.c
Parution
2024-07-27
Marque
Springer
EAN papier
9783031600432
EAN PDF
9783031600449

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
15677 Ko
Prix
179,34 €
EAN EPUB
9783031600449

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
42
Taille du fichier
61901 Ko
Prix
179,34 €

Nenad Filipovic is a Professor within the Faculty of Engineering at the University of Kragujevac.

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