Medicine

AI-driven wearable patches help identify undetected hormone disruption in unexplained infertility

AI Insight

Researchers presented findings at the 28th European Congress of Endocrinology in Prague suggesting that individuals with unexplained infertility may harbor subtle disruptions in the timing and coordination of reproductive hormones, even when standard hormonal tests appear normal. The study employed AI-powered wearable patches to continuously monitor hormonal patterns, enabling detection of irregularities that conventional snapshot blood tests would likely miss. This approach reveals that "normal" hormone levels at a single point in time may not capture the dynamic complexity of the reproductive endocrine system.


This technology could offer a new diagnostic pathway for the estimated 10-30% of infertile couples who currently receive no identifiable cause for their condition, potentially enabling more targeted and effective treatments. Continuous AI-assisted hormonal monitoring may reduce the diagnostic odyssey experienced by many patients and lower unnecessary medical costs.


Men and women who appear hormonally “normal” may still have undetected disruptions in the timing and coordination of their reproductive hormones that could impair fertility, according to research presented at the 28th European Congress of Endocrinology in Prague.

Source: AI-driven wearable patches help identify undetected hormone disruption in unexplained infertility