Artificial intelligence–derived oocyte morphology and follicular fluid biomarkers in donors
- DOI
- 10.1093/reprod/xaag092
- Published
- 2026-07-29
- Container
- Reproduction
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/reprod/xaag092,
title = {Artificial intelligence–derived oocyte morphology and follicular fluid biomarkers in donors},
author = {Yamila Herrero and Candela Velazquez and Melanie Neira and Romina Criscione and Mariano Lavolpe and Dalhia Abramovich and Fernanda Parborell},
year = {2026},
journal = {Reproduction},
doi = {10.1093/reprod/xaag092},
url = {https://doi.org/10.1093/reprod/xaag092}
}RIS
TY - JOUR TI - Artificial intelligence–derived oocyte morphology and follicular fluid biomarkers in donors AU - Yamila Herrero AU - Candela Velazquez AU - Melanie Neira AU - Romina Criscione AU - Mariano Lavolpe AU - Dalhia Abramovich AU - Fernanda Parborell PY - 2026 JO - Reproduction DO - 10.1093/reprod/xaag092 UR - https://doi.org/10.1093/reprod/xaag092 ER -
APA
Herrero, Y., Velazquez, C., Neira, M., Criscione, R., Lavolpe, M., Abramovich, D., & Parborell, F. (2026). Artificial intelligence–derived oocyte morphology and follicular fluid biomarkers in donors. Reproduction. https://doi.org/10.1093/reprod/xaag092
Source records
- crossref · retrieved 2026-09-25T01:17:32.562Z