PharmaGuard analyzes your patient's genetic variants to predict drug metabolism risks — delivering clinically actionable recommendations before a single prescription is written.
Most of these deaths are preventable. The missing piece is knowing how a patient's unique genome affects how they metabolize drugs — before they take them.
Adverse drug reactions are one of the leading causes of preventable death in the United States. The majority occur in patients with known pharmacogenomic risk factors that were never tested for — because the tools to do so at scale simply didn't exist at the point of care.
A single nucleotide polymorphism in CYP2D6 can turn a standard dose of Codeine into a lethal overdose for ultra-rapid metabolizers, or render it completely ineffective for poor metabolizers. Genetics aren't optional context — they are the answer.
Doctors don't have time to decode raw VCF files or cross-reference CPIC tables. PharmaGuard translates raw genomic data into clear, structured, plain-language clinical recommendations in seconds.
A four-step pipeline that transforms raw VCF files into CPIC-aligned dosing recommendations with LLM-generated clinical rationale.
Designed for precision, speed, and clarity — every feature exists to translate genomic complexity into confident clinical decisions.
Production-grade tools chosen for reliability, speed, and clinical-grade data handling.
A multidisciplinary team bringing together genomics, clinical knowledge, and engineering.
Upload a VCF file and get a full pharmacogenomic risk report in seconds — no genomics expertise required.