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Personalized Computational Hemodynamics: Models, Methods, and Applications for Vascular Surgery and Antitumor Therapy (Original PDF from Publisher)

Personalized Computational Hemodynamics: A Comprehensive Guide to Models, Methods, and Applications

Authored by renowned expert Yuri Vassilevski, this book delves into the cutting-edge advancements in multiscale modeling of hemodynamics and their personalization using conventional clinical data.

Focusing on three key physiological disciplines, readers will discover how to derive suitable mathematical models and personalize their parameters to account for various pathologies and diseases. The book reflects the latest trends in mathematical modeling, showcasing its clinical applications and featuring major results from the “Research group in simulation of blood flow and vascular pathologies” at the Institute of Numerical Mathematics of the Russian Academy of Sciences.

What Sets This Book Apart?

Two distinct features differentiate this book from other monographs on numerical methods for biomedical applications:

  • The book targets a wide range of medical disciplines, including cardiology, vascular neurology, and oncology, through mathematical modeling and computer simulation.
  • The authors consider extensions and parameter tuning that account for vascular pathologies, making it a comprehensive resource for medical professionals and researchers.

Key Takeaways

Readers will gain insights into:

  • The application of mathematical modeling and computer simulation in various medical disciplines, including vascular surgery and oncological tumor treatments.
  • The use of numerical simulations to support clinical decision-making.
  • The connection between hemodynamics and various subject areas, including vascular surgery and oncology.

Published by Elsevier Science in April 2020, this book is a valuable resource for medical professionals, researchers, and students seeking to stay updated on the latest developments in personalized computational hemodynamics.

Language: English

ISBN: 9780128156537, 9780128156544

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