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Could AI and genetics finally crack endometriosis diagnosis?

NCT ID NCT06572852

Recruiting now Knowledge-focused Sponsor: IRCCS San Raffaele Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This observational study is recruiting 530 women to better understand endometriosis and adenomyosis. Researchers will analyze genetic, epigenetic, and imaging data, using artificial intelligence to develop better diagnostic tools. The goal is to enable earlier detection and more personalized treatment for these painful conditions.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to
If successful, this could lead to better, earlier diagnostic tools for endometriosis and adenomyosis, potentially improving treatment and fertility outcomes.
What could go wrong
This is an observational study, not a treatment trial. It may not directly change patient care, and the findings might not apply to all populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

adenomyosis endometriosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ADENOMYOSIS ENDOMETRIOSIS

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Azienda Ospedaliero Universitaria Renato Dulbecco di Catanzaro

    ACTIVE_NOT_RECRUITING

    Catanzaro, Catanzaro, 88100, Italy

  • IRCCS San Raffaele Hospital

    RECRUITING

    Milan, Milano, 20132, Italy

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

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