Vitacore Research Collaborative

Hard problems · HP-05

Causal digital twin for personalised clinical decision

The problem

Hospitals are buying correlation engines. Clinical AI predicts but cannot answer counterfactual questions: what would happen if we intervened now versus in four hours? The gap between predictive and causal clinical AI has not been bridged by any deployed system.

Vitacore approach

A theoretical architecture for a causal physiological digital twin — a structural causal model of patient physiology updated in real time from non-invasive sensor streams. Framed as a control theory problem with the patient as a dynamical system.

Output

Target venue: Journal of Translational Medicine · npj Digital Medicine · Nature Medicine.
Theoretical framework: 10–12 weeks.