AI and poop samples: the future of heart attack prevention?

NCT ID NCT07471763

Not yet recruiting Knowledge-focused Sponsor: Fujian Provincial Hospital Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will follow 6000 people with heart disease or recent heart attacks for years. Researchers will collect blood, urine, and stool samples, plus medical data, to build a huge database. They hope artificial intelligence can find new ways to predict, diagnose, and treat heart attacks more precisely.

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 tools for predicting, diagnosing, and managing heart attacks using artificial intelligence and biological data.
What could go wrong: This is an observational study, not a treatment trial. It may not produce immediate clinical changes, and results depend on data quality and long-term follow-up.

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.

acute myocardial infarction Angina, Stable intermediate coronary syndrome

As listed by the trial registrant

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

ACUTE MYOCARDIAL INFARCTION (AMI) STABLE ANGINA UNSTABLE ANGINA

Contacts and locations

Locations

Fuzhou University Affiliated Provincial Hospital

Fuzhou, Fujian, 350001, China

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