2022
DOI: 10.1089/ten.tea.2021.0215
|View full text |Cite
|
Sign up to set email alerts
|

Implementing Computational Modeling in Tissue Engineering: Where Disciplines Meet

Abstract: published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(10 citation statements)
references
References 154 publications
0
10
0
Order By: Relevance
“…Recently, mathematical and computational models have been developed to support bioreactors and microphysiological systems to optimize culture conditions and in vivo predictions [87]. The contributions include modeling of cell fate, cell interactions, nutrient supply and waste removal [87].…”
Section: Biosensors and Modeling Technologiesmentioning
confidence: 99%
“…Recently, mathematical and computational models have been developed to support bioreactors and microphysiological systems to optimize culture conditions and in vivo predictions [87]. The contributions include modeling of cell fate, cell interactions, nutrient supply and waste removal [87].…”
Section: Biosensors and Modeling Technologiesmentioning
confidence: 99%
“…Researchers from similar fields but different universities were invited to join forces and write a comprehensive review that would not only reminisce on the past but also elaborate on new exciting directions in the field. Topics range from nanobiomaterials 4 to biointerface engineering, 5 supramolecular biomaterials, 6 hydrogels as injectables, 7 and even extending to computational modeling 8 where perhaps in the future all biomaterials-related research could be done in silico.…”
Section: Guest Editorialmentioning
confidence: 99%
“…Besides enabling existing technologies and experimental designs to work together, computational approaches have untapped potential to innovate biofabrication process designs. To truly impact biomimetic quality, intelligent design approaches must rely on accurate models of biofabrication [9,10,11]. This work analyses the application of intelligent automation principles (Figure 1.A) in modeling, design, and optimization (Figure 1.B), with a focus on approaches combining simulation and optimization (Figure 1.C) of TERM Biofabrication processes (Figure 1.D).…”
Section: Introductionmentioning
confidence: 99%
“…Besides enabling existing technologies and experimental designs to work together, computational approaches have untapped potential to innovate biofabrication process designs. To truly impact biomimetic quality, intelligent design approaches must rely on accurate models of biofabrication [9, 10, 11].…”
Section: Introductionmentioning
confidence: 99%