Virtual doppelgänger may help pick right patients for kidney nerve treatment
NCT ID NCT07462572
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This pilot study will test whether a personalized computer model, called a 'digital twin,' can predict which patients with high blood pressure will respond to a procedure called renal denervation. The study will enroll 60 people, including those with resistant hypertension, untreated hypertension starting medication, and those with a hormone condition called primary aldosteronism. Researchers will build each patient's digital twin from routine test results and see if it can accurately forecast blood pressure changes three months after treatment.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- digital twin computer model
- What this could lead to
- If successful, this could help doctors personalize treatment decisions for high blood pressure, reducing unnecessary procedures and improving outcomes.
- What could go wrong
- This is a small pilot study (60 participants) that is not yet recruiting. The digital twin is a new tool and may not accurately predict responses in real-world settings.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Hypertension Unit - Georges Pompidou European Hospital
Paris, France
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Pharmacology Unit - Georges Pompidou European Hospital
Paris, France
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Other studies related to the condition(s) this trial covers.
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