The PCOS use case shows how cycle context, metabolic signals, stress, sleep, recovery, care history, and SETPOINT practices can inform a calibrated Twin.
Cycle · metabolic · sleep · stress · behavior · labs
Reference priors · longitudinal state · calibration
Readiness · confidence · trajectory · transition logic
Protocol · practice · check-in · outcome feedback
Irregularity, timing, symptoms, and phase-aware interpretation.
Weight, glucose-related signals, energy, appetite, and recovery trends.
Recovery, resilience, sleep consistency, and stress load over time.
Food timing, movement, adherence, practices, and daily rhythm.
EHR-derived history, labs, medication context, and clinician interpretation.
Practice completion, symptom change, confidence shifts, and recalibration.
Shows what was documented, ordered, prescribed, and followed up.
Interprets symptoms, behavior, labs, adherence, and longitudinal context.
Maintains state, trajectory, confidence, and recalibration logic.
Turns bounded state into practices, protocols, outcomes, and feedback.
DT4H does not diagnose PCOS. It models longitudinal context and state signals that may support clinician-guided interpretation.
SETPOINT protocols and practices remain bounded support workflows, not autonomous medical treatment.
PCOS is well suited for longitudinal validation because state, behavior, metabolic context, and symptoms evolve over time.