Zenlo Labs reads a full panel across 102 biomarkers and 15 clinical patterns (8 validated on 4,018 NHANES · 7 implemented), drafts a structured analysis with HOMA-IR and biological age, and hands it to you to edit, sign and share. The AI does the synthesis — the clinical decision stays yours.
Your first screen isn't a welcome banner — it's the state of your practice: critical findings, what's new, and who's waiting on a review.
Find anyone in seconds, filter by severity to triage your day, and open straight into their latest analysis. Built to stay fast even with thousands of patients.
Each panel becomes a composite score, the patterns that matter, the findings that need action, and the trends over time — ready for you to edit, note, and sign.
Built around a defensible detection framework and validated against population data.
A full panel mapped to age- and sex-specific reference ranges.
15 clinical patterns (8 validated on 4,018 NHANES · 7 implemented).
Each finding is graded by evidence — pathognomonic, confirmatory, supportive — with compound rules and N-of-M cluster thresholds, so a flag means something.
Insulin-resistance index computed automatically from glucose & insulin.
Levine PhenoAge (2018) when nine required biomarkers are available.
Inline editor, your wording, a tamper-evident signed record.
Clean, print-ready report to share with the patient.
Anthropic BAA with zero data retention; HIPAA-aware.
Three steps from a raw panel to a signed report — and you stay in the loop on every one.
PDF upload or manual entry. Values are extracted and mapped to reference ranges.
The engine detects patterns, computes HOMA-IR and biological age, and writes a structured draft to your dashboard.
Edit the wording, add your notes, then sign and lock. The clinical judgment is yours.
CHAI-format pattern cards, a live biomarker registry, and a dated security self-assessment. 102 biomarkers in product copy; 15 clinical patterns with published NHANES audits for Insulin Resistance and Metabolic Syndrome.
15 clinical patterns. 8 benchmarked across 5 AI models on 4,018 NHANES adults (F1 up to 0.963). Per-pattern NHANES audits published for 2 (Insulin Resistance, Metabolic Syndrome); the rest are structural CHAI cards, validation in progress.
Index of CHAI cards — two NHANES-validated, thirteen structural with validation in progress.
Reference sheets from the database; count refreshed hourly (independent of the 102-biomarker static panels on this page).
OWASP ASVS, Supabase/Vercel hardening, and HIPAA Security Rule mapping — self-assessed, published openly.
The detection engine was benchmarked across five AI models and four providers on a real population cohort — 15 clinical patterns (8 validated on 4,018 NHANES · 7 implemented). We publish our methodology rather than asking you to take it on faith.
Bring a few de-identified reports and we'll walk through the analysis live — patterns, HOMA-IR, biological age, and the review-and-sign flow.