Lifecycle tissue engineering: An AI-enabled multimodal sensing and digital twin roadmap.

Liu X, Zhou Y, Wang C, Tu L, Zhao X, Gu J, Sun Q, Xing M, Yang Y

DOI: 10.1016/j.bioactmat.2026.06.044
Published: 2027 Jan
Container: Bioactive materials
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.bioactmat.2026.06.044,
  title = {Lifecycle tissue engineering: An AI-enabled multimodal sensing and digital twin roadmap.},
  author = {Liu X and Zhou Y and Wang C and Tu L and Zhao X and Gu J and Sun Q and Xing M and Yang Y},
  year = {2027},
  journal = {Bioactive materials},
  doi = {10.1016/j.bioactmat.2026.06.044},
  url = {https://doi.org/10.1016/j.bioactmat.2026.06.044}
}

RIS

TY  - JOUR
TI  - Lifecycle tissue engineering: An AI-enabled multimodal sensing and digital twin roadmap.
AU  - Liu X
AU  - Zhou Y
AU  - Wang C
AU  - Tu L
AU  - Zhao X
AU  - Gu J
AU  - Sun Q
AU  - Xing M
AU  - Yang Y
PY  - 2027
JO  - Bioactive materials
DO  - 10.1016/j.bioactmat.2026.06.044
UR  - https://doi.org/10.1016/j.bioactmat.2026.06.044
ER  -

APA

X, L., Y, Z., C, W., L, T., X, Z., J, G., Q, S., M, X., & Y, Y. (2027). Lifecycle tissue engineering: An AI-enabled multimodal sensing and digital twin roadmap.. Bioactive materials. https://doi.org/10.1016/j.bioactmat.2026.06.044

Source records

pubmed · retrieved 2026-11-10T09:52:02.162Z