3D bioprinting techniques enable the precise deposition of living cells, biomaterials, and biomolecules, emerging as a promising approach for engineering functional tissues and organs. Meanwhile, recent advances in 3D bioprinting enable researchers to build in vitro models with finely controlled and complex micro-architecture for drug screening and disease modeling. Recently, artificial intelligence (AI) has been applied to different stages of 3D bioprinting, including medical image reconstruction, bioink selection, and printing process, with both classical AI and machine learning approaches. The ability of AI to handle complex datasets, make complex computations, learn from past experiences, and optimize processes dynamically makes it an invaluable tool in advancing 3D bioprinting. The review highlights the current integration of AI in 3D bioprinting and discusses future approaches to harness the synergistic capabilities of 3D bioprinting and AI for developing personalized tissues and organs.
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September 2024
Review Article|
July 19 2024
Recent advances and applications of artificial intelligence in 3D bioprinting
Special Collection:
Artificial Intelligence for Biophysics
Hongyi Chen
;
Hongyi Chen
(Conceptualization, Writing – original draft, Writing – review & editing)
1
Department of Computer Science, University College London
, London, United Kingdom
2
Department of Mechanical Engineering, University College London
, London, United Kingdom
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Bin Zhang
;
Bin Zhang
a)
(Writing – original draft, Writing – review & editing)
3
Department of Mechanical and Aerospace Engineering, Brunel University London
, London, United Kingdom
a)Authors to whom correspondence should be addressed: bin.zhang@brunel.ac.uk and jie.huang@ucl.ac.uk
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Jie Huang
Jie Huang
a)
(Writing – original draft, Writing – review & editing)
2
Department of Mechanical Engineering, University College London
, London, United Kingdom
a)Authors to whom correspondence should be addressed: bin.zhang@brunel.ac.uk and jie.huang@ucl.ac.uk
Search for other works by this author on:
a)Authors to whom correspondence should be addressed: bin.zhang@brunel.ac.uk and jie.huang@ucl.ac.uk
Biophysics Rev. 5, 031301 (2024)
Article history
Received:
December 04 2023
Accepted:
June 11 2024
Connected Content
A companion article has been published:
Employing artificial intelligence to augment 3D bioprinting
Citation
Hongyi Chen, Bin Zhang, Jie Huang; Recent advances and applications of artificial intelligence in 3D bioprinting. Biophysics Rev. 1 September 2024; 5 (3): 031301. https://doi.org/10.1063/5.0190208
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