The future is digital: In silico tissue engineering

被引：46

作者：

Geris, Liesbet ^{[1
,2
,3
]}

Lambrechts, Toon ^{[2
,4
]}

Carlier, Aurelie ^{[5
]}

Papantoniou, Ioannis ^{[2
,6
]}

机构：

[1] Univ Liege, GIGA Silico Med, Biomech Res Unit, Liege, Belgium

[2] Katholieke Univ Leuven, Leuven R&D Div Skeletal Tissue Engn, Leuven, Belgium

[3] Katholieke Univ Leuven, Dept Mech Engn, Biomech Sect, Leuven, Belgium

[4] Katholieke Univ Leuven, Anim & Human Hlth Engn Div, M3BIORES, Leuven, Belgium

[5] Maastricht Univ, MERLN Inst Technol Inspired Regenerat Med, cBITE, Maastricht, Netherlands

[6] Katholieke Univ Leuven, Skeletal Biol & Engn Res Ctr, Leuven, Belgium

来源：

CURRENT OPINION IN BIOMEDICAL ENGINEERING | 2018年 / 6卷

基金：

美国国家科学基金会; 欧洲研究理事会;

关键词：

Industry; 4.0; In silico; Computer model; Digital twin; Tissue engineering;

D O I：

10.1016/j.cobme.2018.04.001

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The Industry 4.0 concept refers to automation and data exchange in manufacturing technologies, which includes technologies for cell therapy product manufacturing. An important aspect of this concept is the development and use of Digital Twins. A Digital Twin is a digital representation of a product or process that is used to optimize the design and use of said product or process. In this opinion article, we show that such Digital Twins have already been developed for a variety of tissue engineering processes. Using skeletal tissue engineering as a case study, we discuss a number of models at various stages of use between bench and bedside and ranging from pure data-driven models to models built on known mechanisms and first principles. Finally, we emphasize the importance of data collection and model validation to ensure, amongst others, compliance to regulatory guidelines.

引用

页码：92 / 98

页数：7

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