Author

Qian-Yi Huang

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Open access Oct 2026

Development and validation of interpretable machine learning models for predicting cumulative live birth rates in assisted reproductive technology: a SHAP-based analysis

Objective To develop and validate interpretable machine-learning models predicting cumulative live birth rate (CLBR) in ART patients. Methods In this single-center retrospective cohort (January 2019–June 2024), 7,773 oocyte retrieval cycles were analysed. XGBoost gain ranking, applied to all screened cycles with native...

Xiao-Qian Fu, Yi-Si Qin, Qian-Yi Huang et al. · Frontiers in Endocrinology · 0 citations

Review Open access Jul 2026

Theca cells: active orchestrators of ovarian aging.

This review repositions theca cells as active, bidirectionally regulated participants in ovarian aging-integral to, rather than upstream of, the oocyte-granulosa-theca unit, and proposes theca-specific biomarkers and targeted interventions as priorities for future translational research.

Hong-Bo Wu, Zhao Zhang, Qian-Yi Huang et al. · Reproductive Biology and End... · 0 citations