AI model could spare diabetes patients from invasive kidney biopsies

NCT ID NCT07672639

Completed Diagnosis Sponsor: Beijing Tongren Hospital Source: ClinicalTrials.gov ↗

First seen Jun 29, 2026 · Last updated Jun 30, 2026 · Updated 1 time

Summary

This study uses machine learning to tell apart diabetic kidney disease from other kidney diseases in people with type 2 diabetes. Researchers analyzed data from over 2,200 patients across 14 medical centers to build a model that uses routine clinical and lab information. The goal is to provide a noninvasive way to diagnose kidney problems, potentially avoiding the need for a kidney biopsy.

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 provide a noninvasive way to diagnose kidney disease in diabetes patients, reducing the need for risky biopsies.
What could go wrong: This is a retrospective study using existing data, so results may not apply to all populations. The model's accuracy depends on data quality and may not replace biopsy in all cases.

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.

chronic kidney disease chronic renal failure syndrome diabetic kidney disease type 2 diabetes mellitus

As listed by the trial registrant

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

CHRONIC KIDNEY DISEASE DIABETIC KIDNEY DISEASE TYPE 2 DIABETES

Contacts and locations

Locations

Beijing Tongren Hospital

Beijing, Beijing Municipality, 100730, China

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