Machine Learning
Predictive Health
Modelling individual health futures with AI — so intervention happens years before disease, not months after.
What we study
We build predictive models that estimate an individual's future health trajectory — identifying elevated risk for metabolic, cardiovascular, and age-related conditions years before clinical symptoms emerge.
Why it matters
Healthcare is still largely reactive. By the time most conditions are diagnosed, years of preventable biological decline have already occurred. Predictive AI shifts the window — enabling intervention when it's most effective.
Our approach
We model health as a dynamic system, not a static snapshot. Combining longitudinal data with probabilistic forecasting, our models output risk trajectories alongside the specific biological levers most likely to bend the curve.
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