Fertility and Reproductive Health Measurement
We spend billions after infertility becomes obvious, but we under-invest in early, frequent measurement of reproductive health signals that could improve outcomes and reduce time-to-pregnancy.
The Stakes
Fertility is a core human flourishing domain and a population-level stability variable. Earlier measurement reduces the emotional and financial cost of infertility, improves outcomes by enabling earlier intervention, and can support healthier pregnancies. The upside is not only more births. It is healthier families and less downstream healthcare burden.
Headline evidence
- •WHO reports infertility affects about 1 in 6 people globally, indicating large-scale unmet need and persistent barriers to care. [1]
- •WHO frames infertility as a disease of the reproductive system and emphasizes that prevention, diagnosis, and treatment are often inaccessible or unaffordable. [1]
- •CDC publishes fertility and assisted reproductive technology surveillance, indicating measurable outcomes exist but are not yet transformed into routine early detection workflows at scale. [2]
Neglectedness
Why it stays neglected
Reproductive care sits in a messy market: benefit coverage varies, outcomes take time, and stigma reduces demand signaling. Diagnostics are fragmented and not always standardized. Many interventions are expensive and concentrated in specialized clinics, limiting early-stage access.
Tractability
Tractable because sensors, at-home sampling, and longitudinal analytics are improving. The hard part is clinical validation and integration: turning measurements into clear action pathways and ensuring equitable access. AI helps by interpreting longitudinal signals and matching to evidence-based interventions.
Startup surfaces
- •At-home fertility measurement systems with clinical-grade QC and longitudinal interpretation
- •Standardized diagnostic pathways that reduce time-to-diagnosis and increase guideline adherence
- •Care navigation platforms that integrate labs, clinics, and follow-up with outcome tracking
- •Male fertility measurement and improvement programs with verified metrics and coaching
- •Insurance and employer benefit layers tied to earlier intervention and improved outcomes
Source Stack (3)
- [1] World Health Organization. Infertility (fact sheet: prevalence and access constraints). 2023. https://www.who.int/news-room/fact-sheets/detail/infertility
- [2] Centers for Disease Control and Prevention. Assisted Reproductive Technology (ART) and fertility surveillance. Accessed 2026-03-15. https://www.cdc.gov/art/index.html
- [3] National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (reproductive health research context). Accessed 2026-03-15. https://www.nichd.nih.gov/health/topics/infertility
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