New AI Blood Test Offers 15-Year Early Warning for Heart Disease
Researchers at the University of Hong Kong have developed an AI-powered blood test called CardiOmicScore that could provide early warnings of serious cardiovascular problems years before symptoms appear.
How It Works
CardiOmicScore analyzes thousands of proteins and metabolites found in blood samples to estimate a person's risk of developing six major cardiovascular diseases. These include heart attack, stroke, heart failure, and atrial fibrillation. The system then generates a comprehensive risk assessment that healthcare providers could use to recommend preventive measures.
A Dynamic Alternative to Genetic Testing
Unlike genetic risk scores, which remain fixed throughout a person's life, CardiOmicScore captures biological changes linked to current health status, lifestyle choices, and environmental factors. This dynamic approach could make it more responsive to lifestyle modifications or treatments that might lower cardiovascular risk over time.
Implications for Prevention
Early detection of cardiovascular disease risk has long been a priority in medicine, as many heart-related conditions develop silently for years before causing symptoms. By identifying high-risk individuals decades in advance, such tests could enable earlier interventions through lifestyle changes, medication, or closer monitoring.
The development represents another application of artificial intelligence in medical diagnostics, where machine learning systems can identify patterns in complex biological data that might be missed by traditional analysis methods.