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In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach 2024 ed. [Kõva köide]

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  • Formaat: Hardback, 426 pages, kõrgus x laius: 235x155 mm, 123 Illustrations, color; 20 Illustrations, black and white; VIII, 426 p. 143 illus., 123 illus. in color., 1 Hardback
  • Ilmumisaeg: 28-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031600436
  • ISBN-13: 9783031600432
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In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach 2024 ed.Suurem pilt
  • Formaat: Hardback, 426 pages, kõrgus x laius: 235x155 mm, 123 Illustrations, color; 20 Illustrations, black and white; VIII, 426 p. 143 illus., 123 illus. in color., 1 Hardback
  • Ilmumisaeg: 28-Jul-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031600436
  • ISBN-13: 9783031600432
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031600432.html

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.


Chapter 1 - Heart physiology and heart diseases, Djordje Jakovljevic, Nenad Filipovic.
Chapter 2 - Finite element modeling, Nenad Filipovic.
Chapter 3 - System biology modeling for drug optimization, Marko Zivanovic, Nenad Filipovic.
Chapter 4 - Artificial intelligence approach for medical image processing, Tijana Sustersic, Nenad Filipovic.-Chapter 5 - Pharmacokinetic and AI modeling, Lazar Velicki, Nenad Filipovic.
Chapter 6 - Molecular micro modeling of heart muscle, Momcilo Prodanovic, Nenad Filipovic.
Chapter 7 - Use case: Risk stratification of cardiomyopathy disease, Lazar Dasic, Nenad Filipovic.
Chapter 8 - Use case: Surrogate AI model for left ventricle modeling, Bogdan Milicevic, Nenad Filipovic.
Chapter 9 - Use case: Carotid artery plaque modeling, Andjela Blagojevic, Nenad Filipovic.
Chapter 10 - Use case: Stent deployment for coronary artery, Miljan Milosevic, Nenad Filipovic.
Chapter 11 - Use case: Balloon deployment for peripheral arteries. Aleksandra Vulovic, Nenad Filipovic.
Chapter 12 - Use case: Aorta stenosis modeling, Smiljana Tomasevic, Nenad Filipovic.
Chapter 13 - Use case: Stent biodegradation modeling, Dalibor Nikolic, Nenad Filipovic.

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