Massive health data mining aims to predict disease before it strikes
NCT ID NCT07375303
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This observational study is analyzing health records from 380,000 people to uncover how people move between healthy, sub-healthy, and disease states over time. Using dynamic system theory and data mining, researchers hope to build models that can predict future disease risk years in advance. The goal is to provide scientific evidence for personalized prevention and better health management.
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 personalized health predictions and early warnings for disease, helping people take preventive steps.
- What could go wrong
- This is an observational study, not a treatment trial. It may not produce clear or actionable results, and findings might not apply to other populations.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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Beijing Friendship Hospital, Capital Medical University
Beijing, Beijing Municipality, 100050, China