Evidence & Trust

Prevention requires evidence. Personal health intelligence requires trust.

MyStera is being built with clinical, research, privacy and safety governance from the outset. This hub explains the evidence behind the model, what has been validated, what remains in development and how individual control is protected.

Built for trust

Personal intelligence should remain personal.

MyStera is being designed around explicit consent, clear data boundaries, privacy-preserving reporting and clinically governed escalation pathways. Individuals remain in control of what is connected, what is shared and which support routes can be activated.

In development — governance framework

Consent before connection

Nothing is connected or shared without an explicit, informed and withdrawable consent decision.

No identifiable individual health data shared with any organisation

Organisational reporting is privacy-preserving and aggregated by design.

High-risk signals move into governed safety workflows

They are handled through defined safety workflows with human oversight, not ordinary scoring.

Clear limits

MyStera does not diagnose, prescribe or replace emergency or clinical care.

Evidence roadmap

Evidence-led. Ready for real-world evaluation.

ProfileIQ's signal model is grounded in established evidence and designed for rigorous real-world evaluation. MyStera is building partnerships across research, clinical practice and healthcare innovation to validate usability, model performance, safety and fairness, and to assess how earlier, more informed routing can improve access to appropriate support.

Current

Evidence-informed model

The signal framework draws on published research. The MyStera implementation is not yet validated.

In progress

Clinical and governance review

Clinical review, safety workflows and governance documentation are being developed.

Open

Partner pilots

We are scoping controlled evaluations with employer, insurer, provider and research partners.

Planned

Outcome validation

Outcome measures will be published with named study, population, metric and date.