Header
- Model name
- Oxidative Stress
- Developer
- Zenlo LLC
- Release stage
- Research Tool (not FDA-cleared)
- Version
- 1.0
- Availability
- United States
- Regulatory status
- Not applicable — academic and transparency positioning
- Pattern slug
- oxidative_stress
- Biomarkers
- GGT, URICACID, HOMOCYSTEINE, ALBUMIN
This document follows the CHAI Applied Model Card format (v0.1).
Summary
The Oxidative Stress pattern combines gamma-glutamyl transferase, uric acid, homocysteine, and albumin — laboratory proxies associated with oxidative and metabolic stress in functional-medicine frameworks. Deterministic rules flag qualifying elevations or low albumin; any abnormality fires the pattern. Claude Haiku 4.5 provides narrative context for physician review. For licensed functional-medicine physicians, this is supportive clinical decision support — it does not measure direct oxidative markers (e.g., 8-OHdG, F2-isoprostanes) and does not diagnose gout, liver disease, or malnutrition. Outputs highlight a cluster of metabolic–inflammatory laboratory signals for clinical correlation.
Uses & Directions
Intended use
Clinical decision support for licensed physicians evaluating oxidative and metabolic stress proxy markers in adult panels.
Primary users
Licensed functional medicine physicians and similarly qualified clinicians.
How to use
Correlate flagged markers with liver function, renal status, diet, alcohol intake, and inflammatory context.
Target population
Adults aged 18 and older in the United States.
Out of scope
- Direct patient use without physician oversight
- Pediatric populations
- Standalone diagnosis of oxidative stress disorders
- Direct antioxidant therapy guidance
Warnings
Clinical risk level
Low — supportive tool; the treating physician retains full clinical judgment and responsibility.
Known limitations
- Proxy markers (GGT, uric acid, homocysteine, albumin) are non-specific and overlap with liver, renal, and nutritional patterns.
- No direct oxidative damage biomarkers are measured.
- Functional-medicine oxidative stress framing lacks universal consensus thresholds.
Validation note
Validation pending — a Tier A NHANES validation run has not yet been completed for this pattern. Distribution, agreement, and fairness results will be published here when available.
Trust Ingredients
AI system facts
- Deterministic pattern detector (oxidative_stress) plus Claude Haiku 4.5 for narrative synthesis
- Primary inputs: GGT, uric acid, homocysteine, and albumin from structured extraction.
- Output: Pattern flag plus narrative on oxidative-stress proxy marker abnormalities.
Security & compliance
- Anthropic Business Associate Agreement with zero-data-retention configuration
- HIPAA-aligned design; no patient data used for model training
Ongoing maintenance
Versioned, transparent, and reproducible via a public independent audit harness (see Resources).
Transparency
Self-funded development; no third-party sponsor for this pattern card.
Key Metrics
Usefulness / Efficacy
Zenlo's detection approach was benchmarked across five models in a separate study; see the medRxiv preprint in Resources. No per-pattern efficacy metric is published for this pattern.
Source: 5-model benchmark, medRxiv MEDRXIV/2026/346284
Fairness / Equity
Validation pending — a Tier A NHANES validation run has not yet been completed for this pattern. Distribution, agreement, and fairness results will be published here when available.
Safety / Reliability
- Supportive-only; not intended as a standalone diagnostic
- Physician authorization required before clinical use
- Deterministic detector is reproducible for inputs: GGT, URICACID, HOMOCYSTEINE, ALBUMIN
Resources
- medRxiv preprint MEDRXIV/2026/346284 — 5-model benchmark (system-level detector evaluation)
- JAMIA Open submission JAMIO-2026-0120 (under review)
- Independent audit harness: github.com/dimashibakov/zenlo-audit — reproducibility manifest, NHANES 2015–2016 cycle, harness commit c10afe8
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