In silico approaches to tackle coronary artery disease: where we are, where we are going
摘要截稿:
全文截稿: 2024-09-01
影响因子: 3.632
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 工程技术 - 2区
• 小类 : 计算机:跨学科应用 - 3区
• 小类 : 计算机:理论方法 - 2区
• 小类 : 工程:生物医学 - 3区
• 小类 : 医学:信息 - 3区
Overview
Digital twins are poised to provide cardiologists with a deeper understanding of coronary artery disease (CAD) pathophysiology and better decision-making support in the coming years. Specific tools based on in silico models are already applied as technology supporting cardiologists, who demonstrated a marked interest in integrating digital twin technologies into daily CAD management. These circumstances suggest that the time is ripe for the clinical translation of in silico models, promoting them from pure research methods to “in silico cardiology” technology.
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However, the full exploitation of in silico models in cardiology is still hampered by several issues, including the intrinsic challenges of multiphysics/multiscale problems and not consolidated standardization protocols. These aspects are crucial to improve the reliability and the clinical impact of in silico models. Another challenge concerns the demanding computational costs to run simulations, often incompatible with clinical examination time. New approaches based on reduced order models and artificial intelligence algorithms are under development to supplement/replace conventional in silico strategies.
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The present Special Issue aims at taking a picture of the state-of-art on in silico approaches to tackle CAD, focusing on the following topics:
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The need to take stock of the situation and individuate new research lines promoting the clinical utility of in silico-based technology is essential for the definition of a road map which, in the next decade, will lead to the widespread application of the “in silico cardiology”.
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Guest editors:
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Dr. Giuseppe De Nisco
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Polytechnic of Turin Department of Mechanical and Aerospace Engineering
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giuseppe.denisco@polito.it
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Dr. Maurizio Lodi Rizzini
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Polytechnic of Turin Department of Mechanical and Aerospace Engineering
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Dr. Alessandro Veneziani
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Emory University
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Professor Alison L. Marsden
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Stanford University