Digital Twins for Tissue Culture Techniques-Concepts, Expectations, and State of the Art

被引:20
作者
Moeller, Johannes [1 ]
Poertner, Ralf [1 ]
机构
[1] Hamburg Univ Technol, Inst Bioproc & Biosyst Engn, D-21073 Hamburg, Germany
关键词
digital twin; tissue engineering; 3D culture; organ-on-a-chip; mathematical model; COMPUTATIONAL FLUID-DYNAMICS; OPTIMAL EXPERIMENTAL-DESIGN; TRANSDERMAL DRUG-DELIVERY; 3D CELL-CULTURE; IN-SILICO; MATHEMATICAL-MODEL; SKIN PERMEABILITY; DIFFUSION-COEFFICIENTS; EXTRACELLULAR-MATRIX; SCAFFOLD DEGRADATION;
D O I
10.3390/pr9030447
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Techniques to provide in vitro tissue culture have undergone significant changes during the last decades, and current applications involve interactions of cells and organoids, three-dimensional cell co-cultures, and organ/body-on-chip tools. Efficient computer-aided and mathematical model-based methods are required for efficient and knowledge-driven characterization, optimization, and routine manufacturing of tissue culture systems. As an alternative to purely experimental-driven research, the usage of comprehensive mathematical models as a virtual in silico representation of the tissue culture, namely a digital twin, can be advantageous. Digital twins include the mechanistic of the biological system in the form of diverse mathematical models, which describe the interaction between tissue culture techniques and cell growth, metabolism, and the quality of the tissue. In this review, current concepts, expectations, and the state of the art of digital twins for tissue culture concepts will be highlighted. In general, DT's can be applied along the full process chain and along the product life cycle. Due to the complexity, the focus of this review will be especially on the design, characterization, and operation of the tissue culture techniques.
引用
收藏
页码:1 / 25
页数:24
相关论文
共 257 条
  • [1] Application of a population balance model to a perfusion in vitro toxicity system
    Abberger, Th.
    Jennings, P.
    Mirlach, A.
    Prajczer, S.
    Pfaller, W.
    [J]. TOXICOLOGY IN VITRO, 2006, 20 (07) : 1213 - 1224
  • [2] Cell culture: Biology's new dimension
    Abbott, A
    [J]. NATURE, 2003, 424 (6951) : 870 - 872
  • [3] Model-based tools for optimal experiments in bioprocess engineering
    Abt, Vinzenz
    Barz, Tilman
    Cruz-Bournazou, Mariano Nicolas
    Herwig, Christoph
    Kroll, Paul
    Moeller, Johannes
    Poertner, Ralf
    Schenkendorf, Rene
    [J]. CURRENT OPINION IN CHEMICAL ENGINEERING, 2018, 22 : 244 - 252
  • [4] New generation of bioreactors that advance extracellular matrix modelling and tissue engineering
    Ahmed, Shehnaz
    Chauhan, Veeren M.
    Ghaemmaghami, Amir M.
    Aylott, Jonathan W.
    [J]. BIOTECHNOLOGY LETTERS, 2019, 41 (01) : 1 - 25
  • [5] A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care
    Alanazi, Hamdan O.
    Abdullah, Abdul Hanan
    Qureshi, Kashif Naseer
    [J]. JOURNAL OF MEDICAL SYSTEMS, 2017, 41 (04)
  • [6] Nano-microscale models of periosteocytic flow show differences in stresses imparted to cell body and processes
    Anderson, EJ
    Kaliyamoorthy, S
    Alexander, JID
    Tate, MLK
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 2005, 33 (01) : 52 - 62
  • [7] Digital Twins for Bioprocess Control Strategy Development and Realisation
    Appl, Christian
    Moser, Andre
    Baganz, Frank
    Hass, Volker C.
    [J]. DIGITAL TWINS: APPLICATIONS TO THE DESIGN AND OPTIMIZATION OF BIOPROCESSES, 2021, 177 : 63 - 94
  • [8] Multiphasic modeling of charged solute transport across articular cartilage: Application of multi-zone finite-bath model
    Arbabi, Vahid
    Pouran, Behdad
    Weinans, Harrie
    Zadpoor, Amir A.
    [J]. JOURNAL OF BIOMECHANICS, 2016, 49 (09) : 1510 - 1517
  • [9] Why tissue engineering needs process engineering
    Archer, R
    Williams, DJ
    [J]. NATURE BIOTECHNOLOGY, 2005, 23 (11) : 1353 - 1355
  • [10] Model-based workflow for scale-up of process strategies developed in miniaturized bioreactor systems
    Arndt, Lukas
    Wiegmann, Vincent
    Kuchemueller, Kim B.
    Baganz, Frank
    Poertner, Ralf
    Moeller, Johannese
    [J]. BIOTECHNOLOGY PROGRESS, 2021, 37 (03)