Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight

Shangyan Li, Jiqing Huang, Yongyong Yan, Richard T. Jaspers, Janak Lal Pathak, Yin Xiao, Qing Zhang

Open source

DOI: 10.1016/j.bioactmat.2026.08.043
Published: 2027-02
Container: Bioactive Materials
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.bioactmat.2026.08.043,
  title = {Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight},
  author = {Shangyan Li and Jiqing Huang and Yongyong Yan and Richard T. Jaspers and Janak Lal Pathak and Yin Xiao and Qing Zhang},
  year = {2027},
  journal = {Bioactive Materials},
  doi = {10.1016/j.bioactmat.2026.08.043},
  url = {https://doi.org/10.1016/j.bioactmat.2026.08.043}
}

RIS

TY  - JOUR
TI  - Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight
AU  - Shangyan Li
AU  - Jiqing Huang
AU  - Yongyong Yan
AU  - Richard T. Jaspers
AU  - Janak Lal Pathak
AU  - Yin Xiao
AU  - Qing Zhang
PY  - 2027
JO  - Bioactive Materials
DO  - 10.1016/j.bioactmat.2026.08.043
UR  - https://doi.org/10.1016/j.bioactmat.2026.08.043
ER  -

APA

Li, S., Huang, J., Yan, Y., Jaspers, R. T., Pathak, J. L., Xiao, Y., & Zhang, Q. (2027). Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight. Bioactive Materials. https://doi.org/10.1016/j.bioactmat.2026.08.043

Source records

crossref · retrieved 2026-09-25T22:17:46.172Z