Gradient Biotech

AI interpretation

Interpretation is an optional layer after metrics exist. Every output cites computed values from completed runs — the LLM does not invent numbers.

Prerequisites

  • A completed HRV, cohort summary, baroreflex, or related pipeline run
  • AI interpretation enabled for your workspace (ask your administrator if the Interpret button isn't available)

Study-level interpretation (the Interpret tab)

The study's top-level Interpret tab is a separate, broader feature from the per-run/per-cohort/per-subject Interpret buttons described below. Click Generate interpretation to synthesize every completed analysis run in the study — HRV, BP, arrhythmia, cohort comparisons, whatever exists — into one grounded result:

  • A plain-language summary
  • Key findings as a numbered list
  • Hypotheses, each with linked cited metrics (metric key, value, unit, source run)
  • Caveats and the standard research disclaimer

Requires at least one completed analysis pipeline run (HRV, BP, arrhythmia, or cohort). If none exist yet, the tab links back to Analyze. Once generated, click Regenerate to refresh it after running more pipelines.

Descriptive mode

Plain-language summary of what the metrics suggest physiologically.

Available for:

  • Single HRV run (includes SQI and arrhythmia burden when present)
  • Cohort comparison (group differences with p-values and group means)
  • Subject hub (summary across available modalities)

Where to launch:

  • Run detail page → Interpret
  • Cohort workspace → Interpret
  • Subject hub → Interpret

Mechanistic mode

Cross-domain hypotheses when multiple metric domains are present on a subject:

  • Autonomic (HRV)
  • Hemodynamic (BP variability, dipping)
  • Baroreflex sensitivity
  • Respiration / RSA
  • Rhythm burden

Outputs include pathway tags (for example autonomic, hemodynamic), confidence levels, and linked metric badges. Falls back to descriptive mode if only one domain is available.

Where to launch:

  • Subject hub → Interpret (mechanistic)
  • Run detail (when multimodal context exists)
  • Cohort outlier panel

Guardrails

Every interpretation artifact includes:

  • Research / non-clinical disclaimer
  • Metric citation validation (numbers must match run artifacts)
  • Automatic caveats for low SQI, high artifact rate, or missing modalities

Copy text or export JSON from the interpret panel.

What interpretation does not do

  • Diagnose conditions or recommend treatment
  • Replace expert review of signal quality
  • Compute new metrics — it explains metrics already in artifacts