CardioGuard
Post-MI cardiac risk forecasting designed to be explainable, testable, and clinically reviewable.
Secondary prevention, with governance
CardioGuard is a research-stage tool for forecasting cardiac risk from multi-source signals. The design prioritizes interpretability, conservative alerting, and traceable inputs.
Built for secondary prevention
Safety-first outputs tied to traceable inputs, not opaque models.
Multi-source signals
Wearables, CGM, and cohort data with provenance.
Risk stratification
Forecast risk and surface likely drivers.
Continuous monitoring
Safety-first alerts with interpretability.
Audit-ready
Traceable inputs and deterministic rules.
Clinical workflow
Data ingestion
Collect wearable and clinical signals
Risk modeling
Multi-factor cardiac risk assessment
Alerting
Conservative, interpretable warnings
Review
Clinician validation with full audit trail
Join a CardioGuard pilot
If you’re running a cohort study or monitoring workflow, we’d love to partner on validation.