Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI could help predict which IVF treatments work best

NCT ID NCT06884930

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

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study uses machine learning to analyze data from 5,000 IVF patients to identify patterns that predict successful pregnancy. Researchers hope to create a tool that helps doctors personalize treatments, improving success rates and reducing the emotional and financial burden on patients. The study is observational and does not test a new drug or procedure.

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 a tool that helps doctors personalize IVF treatments, potentially improving pregnancy rates and reducing costs and emotional strain for patients.
What could go wrong
This is an observational study analyzing existing data, not a treatment trial. The model may not work as well in real-world settings or for patients not included in the study.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for INFERTILITY (IVF PATIENTS) are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

infertility disorder

As listed by the trial registrant

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

INFERTILITY (IVF PATIENTS)

Contacts and locations

Locations

  • IRCCS San Raffaele Hospital

    Milan, Milano, 20132, Italy

More trials for these conditions

Other studies related to the condition(s) this trial covers.