DT4H builds and calibrates the Twin. StateK computes current state. SETPOINT turns bounded state into protocols, practices, outcomes, and feedback loops.
Cohorts · reference humans · Twin calibration
Confidence · trajectory · transition readiness
Protocols · practices · check-ins · outcomes
Outcomes return to improve the Twin
Structured intervention logic selected from bounded state and context.
Executable user session or behavior that produces measurable feedback.
User-reported and runtime feedback collected after practice or protocol activity.
Observed response used to update state confidence and future recommendations.
Execution results return into DT4H calibration and StateK computation.
The system maintains, adapts, escalates, or observes based on evidence maturity.
Most systems collect signals and show summaries.
Builds cohort-aware Twins and calibration infrastructure.
Turns calibrated Twin state into readiness and transition logic.
Closes the loop through protocols, practices, outcomes, and recalibration.
SETPOINT uses state to guide protocols and practices, not to replace clinical diagnosis or treatment.
Every practice and protocol outcome can become evidence for DT4H recalibration.
DT4H remains the underlying intelligence infrastructure; SETPOINT is the user-facing execution platform.