Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy 1st Edition Yuri Vassilevski 0128156546 9780128156544

This completed downloadable of Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy 1st Edition Yuri Vassilevski

Instant downloaded Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy 1st Edition Yuri Vassilevski pdf docx epub after payment.

Product details:

• ISBN 10: 0128156546
• ISBN 13: 9780128156544
• Author: Yuri Vassilevski

Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy offers practices and advances surrounding the multiscale modeling of hemodynamics and their personalization with conventional clinical data. Focusing on three physiological disciplines, readers will learn how to derive a suitable mathematical model and personalize its parameters to account for pathologies and diseases. Written by leading experts, this book mirrors the top trends in mathematical modeling with clinical applications. In addition, the book features the major results of the “Research group in simulation of blood flow and vascular pathologies” at the Institute of Numerical Mathematics of the Russian Academy of Sciences.

Table of contents:

1 – Introduction

2 – Basic facts about human cardiovascular system

3 – Patient-specific geometric modeling

4 – Equations of fluid dynamics and elasticity

5 – 3D vascular and heart hemodynamics

6 – Lumped parameter models

7 – 1D vascular hemodynamics

8 – Hemodynamics in normal and angiogenic capillary networks

9 – Computational hemodynamics in vascular surgery

10 – Applications in antitumor therapy

People also search:

personalized healthcare companies

personalized complementary product recommendation

computational phenotype

custom peptide synthesis

computational radiomics system to decode the radiographic phenotype