Machine learning-driven decoding of maternal immune signatures in repeated pregnancy loss.

Ko TL, Park J, Leem D, Kim J, Han JW, Park JS, Lee SK, Paik H

Open source

DOI
10.1371/journal.pcbi.1014806
Published
2026 Sep 17
Container
PLoS computational biology
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014806,
  title = {Machine learning-driven decoding of maternal immune signatures in repeated pregnancy loss.},
  author = {Ko TL and Park J and Leem D and Kim J and Han JW and Park JS and Lee SK and Paik H},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1014806},
  url = {https://doi.org/10.1371/journal.pcbi.1014806}
}

RIS

TY  - JOUR
TI  - Machine learning-driven decoding of maternal immune signatures in repeated pregnancy loss.
AU  - Ko TL
AU  - Park J
AU  - Leem D
AU  - Kim J
AU  - Han JW
AU  - Park JS
AU  - Lee SK
AU  - Paik H
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014806
UR  - https://doi.org/10.1371/journal.pcbi.1014806
ER  - 

APA

TL, K., J, P., D, L., J, K., JW, H., JS, P., SK, L., & H, P. (2026). Machine learning-driven decoding of maternal immune signatures in repeated pregnancy loss.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014806

Source records