The Pipeline

PredicGen™ products are built on first generation pharmacogenomics containing primarily gene coding variants by incorporating non-coding, regulatory variants that impact more than 90% of drug response. 

TECHNOLOGY

Phenomics Health patented PredictGenTM technology utilizes AI and machine learning to predict drug response phenotypes for patients based on their genetic, biological, demographic, clinical, sociological, and environmental characteristics. PredictGenTM provides highly accurate, reproducible, and personalized drug selection and dosing recommendations.

PIONEERING

Phenomics Health patented PredictGen technology utilizes AI and machine learning to predict drug response phenotypes for patients based on their genetic, biological, demographic, clinical, sociological, and environmental characteristics. PredictGen provides highly accurate, reproducible, and personalized drug selection and dosing recommendations.

UNIQUE

Unique attributes of biological networks, disease and drug response networks have now been discovered, including focused spatial clustering of drug and disease gene risk variants that can be used to weight and predict the selection of specific medications from a broad range of possible patient phenotypes.

Designed For You

PredictGen pharmacogenomic testing is an opportunity to improve the efficacy and safety of medication prescribing.

Over 3 million serious adverse drug reactions (ADRs), including deaths, occur each year in the United States. ADRs are responsible for nearly 2.2 million hospital admissions per year in the US, resulting in over 100,000 deaths, while costing society an amount equal to the costs of drug treatment.

Phenomics Health is the first precision medicine company to personalize medication treatment by combining advanced pharmacogenomic methods to predict the right drug and right dose for multiple medical conditions with direct pharmacometabolomic measurement of medications actually in a patient’s circulation to accurately determine patient polypharmacy, drug-drug interactions, and patient adherence.