In Silico Clinical Trials for Cardiovascular Disease
A Finite Element and Machine Learning Approach
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Beschreibung
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.
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.
Includes patient-specific models as well as easy-to-use parametric models Describes conclusion from large-scale virtual cardiovascular disease studies Covers system biology modeling for drug optimization as well as drug databases for cardiovascular disease
Autor*in
Nenad Filipović
Themen in »In Silico Clinical Trials for Cardiovascular Disease«
atherosclerosis progression stent deployment simulation drug optimization large scale computing machine learning in cardiovascular disease In silico clinical trials cardiovascular disease