SETPOINTk.ai · Research

Research posture and validation roadmap

SETPOINTk.ai is an educational and analytical surface. We publish public-safe concepts, definitions, and measurement grammar. Clinical workflows (future) are authenticated, governed, and auditable.

What we publish (public-safe)

  • Conceptual definitions (SPI, trajectories, recovery behavior).
  • Measurement grammar and interpretation boundaries.
  • Aggregate validation summaries (no patient-identifiable data).
  • Reproducible methods at a high level (inputs → windows → surface).

What we do not publish

  • Individual predictions, diagnoses, or treatment recommendations.
  • Private model weights, proprietary transforms, or raw pipelines.
  • Any PHI / patient-identifiable or clinic-identifiable datasets.
  • Clinical decision support claims without regulated validation.

Validation roadmap (staged)

  1. Phase 0: Measurement integrity — data completeness, artifact handling, stability checks.
  2. Phase 1: Retrospective correlation — compare SPI regimes vs known signals (sleep, activity, recovery).
  3. Phase 2: Prospective pilot — protocolized collection with audit logging and clear boundaries.
  4. Phase 3: Multi-site generalization — drift monitoring, subgroup analysis, reproducibility.

Publication format

We separate concept (public pages) from clinical (future authenticated portals). Research updates are published as: (1) brief notes, (2) pilot summaries, and (3) method appendices. Anything that could be interpreted as diagnosis or treatment remains out of scope for this public surface.

Outputs: - Research Note (public) - Pilot Summary (public, aggregate) - Method Appendix (public-safe) - Clinical Validation Pack (restricted)

SETPOINTk.ai does not diagnose, treat, cure, or prevent disease. For medical concerns, consult a licensed clinician.