Emerging multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome: from multi-omics integration to clinical artificial intelligence
Integrating multiple biological measurements and AI could enable personalized prevention strategies for heart-kidney-metabolic diseases.
This systematic review proposes a multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome integrating multi-omics, dried blood spot sampling, organ-on-chip models, and AI-driven risk prediction. The framework charts a pathway toward precision prevention and personalized management of CKM syndrome.
What the study was
- Study design
- Systematic review
- Population
- CKM syndrome patients (cardiovascular-kidney-metabolic continuum)
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Cardiovascular Diabetology
Why it surfaced
Conceptual framework review for CKM syndrome biomarkers and AI; useful pipeline context for cardiometabolic risk topic.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.