Deep technology for the optimization of cryostorage.

Go KJ, Hudson C

DOI: 10.1007/s10815-023-02814-y
Published: 2023 Aug
Container: Journal of assisted reproduction and genetics
Publisher: Not recorded
Open access: yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1007/s10815-023-02814-y,
  title = {Deep technology for the optimization of cryostorage.},
  author = {Go KJ and Hudson C},
  year = {2023},
  journal = {Journal of assisted reproduction and genetics},
  doi = {10.1007/s10815-023-02814-y},
  url = {https://doi.org/10.1007/s10815-023-02814-y}
}

RIS

TY  - JOUR
TI  - Deep technology for the optimization of cryostorage.
AU  - Go KJ
AU  - Hudson C
PY  - 2023
JO  - Journal of assisted reproduction and genetics
DO  - 10.1007/s10815-023-02814-y
UR  - https://doi.org/10.1007/s10815-023-02814-y
ER  -

APA

KJ, G., & C, H. (2023). Deep technology for the optimization of cryostorage.. Journal of assisted reproduction and genetics. https://doi.org/10.1007/s10815-023-02814-y

Source records

pubmed · retrieved 2026-09-26T05:34:19.533Z