Specialty Labs
Beyond standard blood work, getbased supports specialty lab tests. Four test types have dedicated support with built-in marker definitions; any other lab report goes through the generic custom marker pipeline where the AI extracts everything from your PDF.
Supported Test Types
Dedicated support
| Test Type | Examples | Built-in Markers |
|---|---|---|
| BioStarks | Dried blood spot panels (AMR Labs SA) | 23 markers across 5 categories |
| DEXA Scan | Hologic, GE Lunar Prodigy | 17 markers across 2 categories |
| Metabolomix+ | Genova Metabolomix+ combo profiles | 165 markers across 10 categories |
| Fatty Acids | Spadia, ZinZino BalanceTest, OmegaQuant | 29 reference markers |
Generic support (custom marker pipeline)
Any other specialty lab report can be imported — the AI extracts marker names, units, and reference ranges directly from your PDF. No built-in definitions needed.
Examples: DUTCH hormone panels, Hair Tissue Mineral Analysis (HTMA), GI-MAP, standalone OAT, and any other lab report.
DEXA Scans
DEXA (dual-energy X-ray absorptiometry) results are organized under a collapsible DEXA sidebar group with two categories:
Body Composition (8 markers)
| Marker | Unit | Notes |
|---|---|---|
| Body Fat | % | Sex-specific reference and optimal ranges |
| Lean Mass | kg | Trend-only (no universal reference) |
| Fat Mass | kg | Trend-only |
| BMI (DEXA) | kg/m² | WHO classification (18.5–24.9) |
| Android Fat | % | Abdominal region |
| Gynoid Fat | % | Hip/thigh region |
| A/G Fat Ratio | ratio | Above 1.0 = higher cardiometabolic risk |
| Visceral Fat Area | cm² | Below 100 cm² = normal |
Bone Density (9 markers)
| Marker | Unit | Notes |
|---|---|---|
| BMD Spine L1–L4 | g/cm² | Trend-only |
| BMD Femur Total | g/cm² | Trend-only |
| BMD Femur Neck | g/cm² | WHO diagnostic site |
| T-score Spine | score | WHO: above −1 normal, −1 to −2.5 osteopenia, below −2.5 osteoporosis |
| T-score Femur Total | score | Same WHO criteria |
| T-score Femur Neck | score | WHO-preferred hip site |
| Z-score Spine | score | Age-matched; below −2.0 = low for age |
| Z-score Femur Total | score | Same criteria |
| Z-score Femur Neck | score | Same criteria |
Tracking over time
DEXA scans are typically repeated annually. Each import adds a new data point, giving you trend charts for body composition and bone density changes over time — the same way blood work trends are tracked.
BioStarks
BioStarks dried blood spot panels are hybrid tests — they include both specialty markers (amino acids, fatty acids, minerals) and standard blood markers (glucose, lipids, testosterone, etc.). getbased handles this automatically: specialty markers go to BioStarks-specific categories, while standard markers map to your existing blood work categories for combined trend tracking.
BioStarks: Amino Acids (12 markers)
| Marker | Unit | Reference Range |
|---|---|---|
| Arginine | µmol/L | 59–180 |
| Asparagine | µmol/L | 29–110 |
| Branched-chain Amino Acids | µmol/L | 270–700 |
| Carnitine | µmol/L | 25–80 |
| Citrulline | µmol/L | 17–96 |
| Glutamine | µmol/L | 320–1100 |
| Proline | µmol/L | 78–550 |
| Taurine | µmol/L | 25–140 |
| Threonine | µmol/L | 70–360 |
| Tryptophan | µmol/L | 33–140 |
| Tyrosine | µmol/L | 45–180 |
| Valine | µmol/L | 230–460 |
BioStarks: Fatty Acids (5 markers)
| Marker | Unit | Reference Range | Notes |
|---|---|---|---|
| DHA | µmol/L | 40–290 | Serum concentration (not % like Spadia/ZinZino) |
| EPA | µmol/L | 3–20 | Serum concentration |
| Linoleic Acid | µmol/L | 500–2000 | Omega-6 |
| Oleic Acid | µmol/L | 300–2300 | Omega-9 |
| Omega-3 Index | % | 8–15 | Target above 8% |
BioStarks: Minerals (3 markers — intracellular)
| Marker | Unit | Reference Range | Notes |
|---|---|---|---|
| Magnesium (RBC) | µg/gHb | 250–480 | Intracellular, not serum |
| Selenium (RBC) | µg/gHb | 0.57–1.2 | Intracellular |
| Zinc (RBC) | µg/gHb | 35–91 | Intracellular |
BioStarks: Hormones (2 markers)
| Marker | Unit | Reference Range |
|---|---|---|
| Cortisol | nmol/L | 140–620 |
| Testosterone/Cortisol Ratio | U | 3.5–15 |
BioStarks: Vitamins (1 marker)
| Marker | Unit | Reference Range |
|---|---|---|
| Vitamin E Alpha-Tocopherol | mg/L | 11–42 |
Hybrid import
Standard blood markers from a BioStarks report (glucose, lipids, creatinine, vitamin D, B12, etc.) automatically map to the same categories as your other blood work. This means you can track trends across BioStarks and standard lab reports on the same charts.
Fatty Acid Labs
Fatty acid tests are grouped by the product or lab that produced them. Each lab appears as its own subcategory under a Fatty Acids sidebar group, so results from different labs are never mixed together.
Auto-detected labs:
| Lab / Product | Detection |
|---|---|
| Spadia | PDF content or filename |
| ZinZino (BalanceTest) | PDF content or filename |
| OmegaQuant (Basic/Plus/Complete, Ayumetrix) | PDF content or filename |
Other fatty acid labs are also supported — the AI identifies the lab name from the report and creates a product-specific category automatically.
Comparing across labs
Even though results from different fatty acid labs appear in separate subcategories, the AI chat can compare and interpret results across all your fatty acid tests in a single conversation.
Metabolomix+
Genova Metabolomix+ imports create multiple subcategories under an OAT sidebar group:
| Category | Markers | Examples |
|---|---|---|
| Microbial Overgrowth | 14 | Citramalic acid, HPHPA, arabinose |
| Metabolic | 22 | Lactic, pyruvic, succinic, citric acid |
| Neurotransmitters | 14 | HVA, VMA, quinolinic acid |
| Nutritional & Detox | 24 | Methylmalonic, glutathione markers |
| Amino Acids & Lipids | 18 | Urine amino acids, fatty acid metabolites |
| Urine Amino Acids | 21 | Arginine, taurine, glycine |
| Urine Amino Metabolites | 18 | Methylhistidine, sarcosine |
| Toxic Elements | 18 | Lead, mercury, arsenic, cadmium |
| Nutrient Elements | 14 | Selenium, zinc, calcium, magnesium |
| Oxidative Stress | 2 | Lipid peroxides, 8-OHdG |
How It Works
- Drop your PDF on the dashboard — same as any other import
- AI detects the test type — the AI reads the report and identifies whether it's blood work, OAT, DUTCH, or another type
- Markers are mapped with test-type-prefixed categories (e.g.,
oatNutritional,dutchHormones) to keep specialty results separate from standard blood markers - Reference ranges come from your PDF — the AI extracts the lab's stated ranges rather than using built-in defaults
- Review and confirm in the import preview, then your results appear in charts
Your lab's reference ranges
Unlike standard blood markers that use built-in reference ranges, specialty markers use the ranges printed on your specific lab report. This means your charts reflect the ranges your lab considers normal.
Custom Marker Pipeline
Specialty markers flow through the custom marker pipeline. For each marker the AI extracts:
- A key with a test-type-prefixed category (e.g.,
oatMicrobial.someMarker) - A name in plain English
- The unit of measurement
- Reference ranges from the lab report
- A group tag (e.g., "OAT", "DUTCH") for sidebar organization
These are created automatically during import — no manual setup required.
Sidebar Grouping
Specialty categories appear under collapsible group headers in the sidebar. For example, an OAT import creates categories like "Microbial Overgrowth", "Nutritional Markers", and "Oxalate Markers" — all grouped under an OAT header you can expand or collapse.
Click the group header to toggle visibility. Collapse state is remembered across sessions.
Importing Multiple Specialty Tests
If you import multiple reports of the same test type over time, the markers are matched to existing custom marker definitions. This gives you trend tracking across specialty labs just like standard blood work.
For fatty acid tests, each lab stays in its own subcategory — importing a ZinZino report won't merge with your Spadia results. Re-importing a PDF updates the category labels if they were incorrect from a previous import.
Model consistency
Use the same AI model for all imports of a given test type. Different models may generate different marker keys for the same test, which prevents proper trend tracking. See AI Providers for details.