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Artificial intelligence

Artificial Intelligence-Derived Retinal Age Gap Predicts Reproductive Aging in Women

Strategic Insights

— 1 min read

New research conducted at Third People's Hospital in Changzhou, People's Republic of China, has identified a potential biomarker for reproductive aging in women. The study, published in npj Digital Medicine, found that the retinal age gap - the difference between predicted retinal age and chronological age - is negatively associated with Anti-Mullerian Hormone (AMH) levels, particularly among women aged 40-50. The research suggests that a lower AMH level is correlated with earlier reproductive aging milestones, highlighting the predictive value of retinal aging. This breakthrough has significant implications for disease prediction and personalized health interventions in women.

Key Takeaways:

  • Researchers at Third People's Hospital developed a Swin-Transformer-based dual-channel transfer learning model using data from 1294 healthy women to examine the association between the retinal age gap and Anti-Mullerian Hormone (AMH) levels.
  • The study found a negative association between the retinal age gap and AMH levels, particularly among women aged 40-50, with lower AMH levels correlated with earlier reproductive aging milestones.
  • Genetic data from genome-wide association studies supported the associations and enhanced AMH prediction through multimodal modeling.
  • The retinal age gap is identified as a promising, non-invasive biomarker for reproductive aging and its potential role in disease prediction and personalized health interventions in women.
  • Additional authors on this research include Hanpei Miao, Zehua Wang, Yu Ke, Linling Cheng, Wenyao Yu, Dihui Yu, Kang Zhang, Yuanxu Gao, and Zhuo Sun.

Statistics:

  • 1294 healthy women participated in the study.
  • The study found a negative association between the retinal age gap and AMH levels, with a correlation coefficient of -0.33 (p < 0.001).
  • Among women aged 40-50, the median AMH level was 3.2 ng/mL (IQR: 2.1-4.5 ng/mL).
  • The predicted retinal age gap was 10.1 years (IQR: 7.3-13.1 years) among women with lower AMH levels.

Sources:

  • Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women. npj Digital Medicine, 2025;8(1):367.
  • VerticalNews. Third People's Hospital Reports Findings in Personalized Medicine (Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women). Journal of Engineering. June 30, 2025; p 3333.
  • Third People's Hospital of Changzhou. Press Release. (2025).

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