AI predicts diabetes danger in transplant patients

NCT ID NCT07512804

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

Summary

This study aims to better predict which kidney transplant patients who develop diabetes will later suffer serious complications like heart disease or kidney failure. Researchers will use machine learning and genetic analysis to find new markers in blood, urine, and kidney tissue. The goal is to build a risk model that helps doctors tailor treatments to each patient. 120 adults with post-transplant diabetes will be enrolled.

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 predictive tool that helps doctors identify kidney transplant patients at highest risk for diabetes-related complications, enabling personalized treatment.

What could go wrong

This is an observational study, not a treatment trial. The predictive model needs validation in future studies and may not improve outcomes directly.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Conditions

The condition(s) this trial relates to.

diabetes mellitus

As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

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

Locations

  • Fondazione Policlinico Universitario A. Gemelli IRCCS, UOC Nefrologia

    RECRUITING

    Roma, 00168, Italy

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

    Contact