Guideline-backed rule engine
CYP-genotype screening built on CPIC and PharmVar, paired with curated drug–drug interaction flagging. Deterministic, reproducible, and resolved with zero ambiguity.
Genotype-aware prescribing and drug-interaction screening, delivered at the moment of decision — so every flag carries the clinical evidence behind it, in one structured report.
Every number below is a published estimate. Sources cited at the bottom of the page.
More than 94% of people carry at least one actionable pharmacogenetic variant5, yet the vast majority are prescribed without ever being genotyped. The gap is not subtle — it is the default.
Legacy prescribing asks: does this drug fit the diagnosis? Genotype- and interaction-aware prescribing asks: does it fit this patient? Toggle to compare.
Drag the slider. Adding a single medication adds n new interaction pairs — the surface area for harm compounds faster than most prescribers expect.
Pairwise combinations grow as n(n−1)/2. At 3 drugs, roughly 0.6 of the 3 possible pairs are expected to carry a clinically meaningful interaction. Illustrative, not a clinical prediction.
Two layers, one report. Every flag is grounded in a published guideline — and every guideline is visible on the same line.
CYP-genotype screening built on CPIC and PharmVar, paired with curated drug–drug interaction flagging. Deterministic, reproducible, and resolved with zero ambiguity.
An intelligence layer surfaces mechanism, management, and severity for every finding — each one annotated with the exact citation that backs it, never composed from outside the evidence.