1 · We read your report
PDFs and lab exports are parsed into structured biomarkers. Every value is matched against a canonical master list, so 'Serum vitamin D' and 'Vit D 25-OH' are always treated as the same marker.
Methodology
How OptimalTracker reads your blood tests
A plain-English guide to what happens between uploading a report and seeing your dashboard — and an honest statement of what we can and can't tell you.
2 · We compare against reference ranges
Each marker is placed against established clinical reference ranges, adjusted for sex and age where evidence supports it. Statuses use four calm bands — Optimal, Watch, Attention, and Missing — instead of a binary pass/fail.
3 · We group markers into systems
Markers roll up into functional systems (metabolic, cardiovascular, thyroid, inflammation, and more). A system score reflects the balance of markers inside it, not the worst single value.
4 · We track change over time
When you upload a second report we compare markers longitudinally: what improved, what's persistent, what's a new concern. Trends only appear when we have enough data to draw a real line.
5 · We turn insights into a plan
Your Personal Plan is generated from your current markers, priority systems, and any context you provide. Every recommendation carries the reason it appears, so nothing feels arbitrary.
Where our reference values come from
We combine standard clinical laboratory ranges with published preventive medicine literature. Where a marker has both a "normal" and an "optimal" band in the evidence, we show both so you can see the difference between "not sick" and "operating well".
Ranges are adjusted for sex and age where the evidence supports it. Every score you see on the platform is produced by a single canonical engine — the same numbers appear on your Dashboard, Health Report and Personal Plan. There are no hidden per-page formulas.
What we can't do — and won't pretend to do
We are not your doctor.
OptimalTracker is an educational tool for preventive health. It supports better conversations with a qualified clinician — it does not replace one, and it does not diagnose or treat disease.
Reference ranges are a starting point.
Ranges vary between labs and populations. We use widely accepted clinical references and, where evidence supports it, tighter 'optimal' bands used in preventive medicine. Your clinician's ranges take precedence.
Trends need data to exist.
One report is a snapshot. Meaningful trend detection typically needs two or more reports spaced over months. Until then, longitudinal insights are intentionally limited.
Correlation is not causation.
We surface patterns between markers, lifestyle factors and symptoms. These are signals worth investigating, not proof of cause. Treat them as questions to bring to your clinician.
AI-generated language, human-verified logic.
Explanations are written with the help of AI models, but every clinical status, score and priority comes from a deterministic engine we can audit line by line. AI never invents your numbers.
Ready to see it on your own data?
Upload a recent blood report and your dashboard will be ready in about a minute. You can delete everything with a single click at any time.
Go to dashboard