AI Vascular Age from Wearables Predicts Disease Risk
For decades, cardiologists have relied on traditional metrics like blood pressure, cholesterol, and BMI to estimate cardiovascular risk. These measures often miss the subtle, early changes that occur before disease develops.
Now, researchers have developed an AI-derived measure of vascular age, a non-invasive biomarker that could transform how we detect and prevent heart and metabolic disease.
This innovation fits perfectly with the principles of functional cardiology.
What is your ‘vascular age’?
Your vascular age reflects how old your arteries are on a biological level, rather than your actual chronological age. Two people may both be 50 years old, but one could have arteries that resemble those of a healthy 35-year-old, while the other’s arteries function more like those of someone in their 70s.
Traditionally, assessing vascular age required invasive or indirect methods, such as ultrasound imaging or pulse wave velocity testing. However, AI now makes it possible to estimate vascular age quickly and accurately, using advanced algorithms trained on imaging and clinical data.
The recent study based on UK Biobank data, used deep learning models to analyse subtle patterns in imaging data that correlate with arterial stiffness, endothelial function, and early vascular deterioration. The result is a precise, personalised indicator of how old your cardiovascular system is.
Why vascular age matters for early detection
Heart disease doesn’t appear overnight. It builds gradually through years of oxidative stress, inflammation, metabolic dysfunction, and hormonal imbalance. By the time traditional tests detect abnormalities, vascular damage is often already significant.
AI-derived vascular age provides a non-invasive, early biomarker that can flag risk years before symptoms appear. This means clinicians can identify those at greatest risk of cardiovascular and metabolic disease while there’s still time to intervene, potentially reversing the trajectory through lifestyle and targeted therapies.
This concept mirrors the philosophy behind functional cardiology, looking beneath the surface to uncover root causes, rather than waiting for disease to manifest.
Integrating vascular age into functional cardiology
Rather than focusing narrowly on a single metric, Dr Grosser evaluates how interconnected systems influence one another. This includes the cardiovascular, metabolic, endocrine, and immune systems.
In practice, this means combining traditional risk assessments with advanced tools such as:
- TruAge biological age testing, to measure overall cellular ageing
- Functional hormone and metabolic panels, to detect insulin resistance, thyroid imbalance, or chronic inflammation
- Nutritional and mitochondrial testing, to identify deficits that contribute to vascular stress
These tests allow Dr Grosser to pinpoint where arterial aging is accelerating, then tailor interventions, from nutritional optimisation and targeted supplementation, to exercise prescriptions. Improvements over time can be tracked, showing how interventions like improved diet, stress reduction, and better sleep can literally rejuvenate the cardiovascular system.
This kind of feedback loop empowers patients to take ownership of their health, transforming prevention from an abstract goal into something tangible and motivating.
The next generation of cardiovascular medicine
AI-derived vascular age isn’t designed to replace traditional testing, but to complement and enhance it, giving clinicians early insight into how well your arteries are ageing and how that connects to your broader metabolic health.
This technology supports the mission at the heart of functional cardiology. It detects disease before it develops, targeting the underlying biological mechanisms, and optimising health at every level of the system.
To discover how Dr Grosser’s functional cardiology approach can help you understand and improve your cardiovascular health, book a consultation today.
