心血管疾病在体外临床试验：一种有限元和机器学习的方法

English | August 28, 2024 | ISBN-10: 3031600436 | 434 pages| Epub PDF (True) | 75 MB

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.

这本书涵盖了使用有限元和机器学习方法进行心血管疾病的在体外临床试验。第一部分描述了该领域的基础以及最新的发展：有限元建模、用于药物优化的系统生物学建模、医疗图像处理的人工智能方法，以及药代动力学与人工智能模型。第二部分提供了用例来说明如何将心血管疾病在体外临床试验应用于特定的心血管疾病：颈动脉斑块建模、主动脉狭窄建模、支架降解建模、左心室的替代AI建模等等。 这本书旨在面向高年级本科生和研究生，以及生物工程、生物力学、 biomedical 工程和医学领域的研究人员。

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