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In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

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In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

出版社:Springer
出版日期:2024-07-28
語言:英文   規格:精裝 / 普通級/ 初版
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$ 10799
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圖書名稱:In Silico Clinical Trials for Cardiovascular Disease: A Finite Element and Machine Learning Approach

內容簡介

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.


 

作者簡介

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

 

詳細資料

  • ISBN:9783031600432
  • 規格:精裝 / 普通級 / 初版
  • 出版地:美國
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