The Women's Health Lab Intelligence tool uses a deterministic, rule-based inference engine. There is no AI. No guessing. No probability models. Every result can be traced to an explicit rule and threshold.
Zero AI Policy — This tool deliberately contains no LLM calls, no machine learning, and no generative AI. Interpretation is reproducible: the same lab values with the same context will always produce the same output.
Each biomarker is classified into one of seven buckets based on numeric thresholds:
Thresholds are women-specific and, where evidence supports it, differ by reproductive status and age. Standard lab reference ranges are not used — those reflect statistical population norms, not performance optima.
Rules fire when one or more markers fall into specified buckets. Rules support three logic modes:
AND — all conditions must be trueOR — any condition triggers the ruleMIN_COUNT:N — at least N conditions must be trueWhen a rule fires, it adds weighted evidence toward symptoms. Compound rules (multi-marker patterns) apply a 1.25x weight multiplier — multi-marker patterns carry more diagnostic significance than single-marker flags.
A symptom appears in results only when its aggregated confidence reaches 20% or higher.
For markers where a lower value is worse, the bucket direction is reversed:
For these markers, HIGH means worse — the rule engine accounts for this automatically.
Three derived values are computed from entered markers if sufficient inputs are available:
When Last Menstrual Period date is provided, cycle day is calculated and cycle-sensitive markers (estradiol, progesterone, LH, FSH) are interpreted against phase-expected ranges. Day 3 draws are distinguished from Day 21 draws. Progesterone below 10 ng/mL on Day 21 suggests anovulatory cycle or luteal phase defect.
No lab values, no personal information, and no session data are ever transmitted to or stored on any server. The inference engine runs entirely in your browser. The only server call is a one-time load of reference data (thresholds, rules, marker definitions) from a read-only database.
Session continuity works through the report itself: session data is compressed, encoded, and embedded as a QR code and text block in the PDF. Returning users can upload a previous report to restore their session — no accounts, no cookies, no cloud storage.
If medications, supplements, or substances are reported in context, the tool cross-references a database of known interference patterns. Biotin interference (common in thyroid and other immunoassay tests) is flagged with a specific warning if biotin supplementation was not held for 72 hours before the draw.