Artificial intelligence in preclinical nonhuman primate xenotransplantation: bridging the gap from data complexity to clinical precision

Seung Jae Jason Kim, Sangil Min

Open source

DOI
10.4285/ctr.26.0055
Published
2026-09-16
Container
Clinical Transplantation and Research
Publisher
The Korean Society for Transplantation
Open access
unknown

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BibTeX

@article{allodium:10.4285/ctr.26.0055,
  title = {Artificial intelligence in preclinical nonhuman primate xenotransplantation: bridging the gap from data complexity to clinical precision},
  author = {Seung Jae Jason Kim and Sangil Min},
  year = {2026},
  journal = {Clinical Transplantation and Research},
  doi = {10.4285/ctr.26.0055},
  url = {https://doi.org/10.4285/ctr.26.0055}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in preclinical nonhuman primate xenotransplantation: bridging the gap from data complexity to clinical precision
AU  - Seung Jae Jason Kim
AU  - Sangil Min
PY  - 2026
JO  - Clinical Transplantation and Research
DO  - 10.4285/ctr.26.0055
UR  - https://doi.org/10.4285/ctr.26.0055
ER  - 

APA

Kim, S. J. J., & Min, S. (2026). Artificial intelligence in preclinical nonhuman primate xenotransplantation: bridging the gap from data complexity to clinical precision. Clinical Transplantation and Research. https://doi.org/10.4285/ctr.26.0055

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