Geneticure utilizes a patented pharmacogenomic test that analyzes 17 genotypes and 11 genes from a DNA sample to recommend personalized hypertension medications. This approach reduces the trial-and-error process in prescribing, leading to significant improvements in blood pressure control and decreased healthcare costs.
Funding
$1.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hypertension, or high blood pressure, often requires a trial-and-error approach to medication selection, leading to delays in effective treatment and increased healthcare costs. This process can take weeks or months, exposing patients to potential side effects and prolonged periods of uncontrolled blood pressure.
Solution
Geneticure offers a pharmacogenomic test that analyzes a patient's DNA to predict their response to various hypertension medications. By examining 17 genotypes across 11 genes, the test identifies the most effective treatment options from the outset, minimizing the need for trial-and-error prescribing. The personalized report helps physicians to prescribe the right medication, potentially leading to faster blood pressure control, fewer office visits, and reduced overall healthcare expenditure. The test analyzes the responsiveness of the cardiac, vascular, and renal systems to different treatments.
Target Audience
The primary target audience includes physicians and healthcare providers specializing in hypertension management, as well as patients seeking personalized treatment options for high blood pressure.
Features
- Analyzes 17 genotypes and 11 genes from a DNA sample (cheek swab) to predict individual responses to hypertension medications.
- Provides a personalized report detailing the predicted responsiveness of the cardiac, vascular, and renal systems.
- A weighted multi-gene algorithm predicts the biggest drop in blood pressure.
- Aims to reduce the time needed to identify the best medication mix for a patient.