Clear answers about what DT4H is, what it is not, and how it relates to EHRs, Twins, cohorts, StateK, SETPOINT, ArenaK, and clinical governance.
Cohorts provide population context and initialization priors before enough individual history exists.
Reference humans model expected ranges, variance envelopes, and trajectory priors for comparable contexts.
ArenaK generates high-frequency behavioral and adaptive gameplay signals for DT4H modeling.
DT4H can support clinician-guided workflows, but clinical interpretation remains clinician-governed.
Yes, if hypotheses, assumptions, limitations, and validation boundaries are explicitly preserved.
DT4H outputs are computational signals, not autonomous medical decisions.