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On-line Access: 2025-10-06
Received: 2024-09-03
Revision Accepted: 2024-12-18
Crosschecked: 0000-00-00
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Artificial intelligence-enabled Bioprinting 5.0
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Long Bai. Artificial intelligence-enabled Bioprinting 5.0[J]. Journal of Zhejiang University Science D, 2026, 9(1): 32 - 62.
@article{title="Artificial intelligence-enabled Bioprinting 5.0",
author="Long Bai",
journal="Journal of Zhejiang University Science D",
volume="9",
number="1",
pages="32 - 62",
year="2026",
publisher="Zhejiang University Press & Springer",
doi="10.1631/bdm.2400354"
}
%0 Journal Article
%T Artificial intelligence-enabled Bioprinting 5.0
%A Long Bai
%J Journal of Zhejiang University SCIENCE D
%V 9
%N 1
%P 32 - 62
%@ 1869-1951
%D 2026
%I Zhejiang University Press & Springer
%DOI 10.1631/bdm.2400354
TY - JOUR
T1 - Artificial intelligence-enabled Bioprinting 5.0
A1 - Long Bai
J0 - Journal of Zhejiang University Science D
VL - 9
IS - 1
SP - 32
EP - 62
%@ 1869-1951
Y1 - 2026
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/bdm.2400354
Abstract: With the rapid advancements in biomedical engineering, bioprinting has emerged as a pivotal solution to address the shortage of organ transplants and advance disease model research. The evolution of bioprinting has progressed from the fabrication of simple models (1.0) to the fabrication of permanent implants (2.0), tissue engineering scaffolds (3.0), and complex biostructures utilizing living cells (4.0). Nevertheless, significant challenges remain, particularly in accurately replicating the structure and function of host tissues, selecting appropriate materials, and optimizing printing parameters. The integration of artificial intelligence (AI), especially machine learning, provides promising novel opportunities in bioprinting (5.0). This review systematically summarizes the current applications of AI in bioprinting, discussing both construction strategies and application scenarios. It also explores the potential of AI to improve bioprinting in the preparation of complex functional tissues and in situ tissue repair. Overall, the synergy between AI and bioprinting is poised to drive the development of personalized medicine, facilitate high-throughput preparation of in vitro models, and provide robust tools for regenerative medicine and precision healthcare.
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