OneTest™ is a blood test and machine learning algorithm developed to aid in the detection of multiple cancers.
The foundation of OneTest™ is a panel of protein biomarkers. Unlike genetic tests that predict your lifetime risk of getting cancer, OneTest™ measures current cancer markers (tumor-associated proteins secreted by tumors as they grow).
These biomarkers have been widely used for cancer screening outside of the U.S., especially in the Far East (Japan, South Korea, China) for decades. In that region, tens of millions of individuals receive what are often day-long health check-ups that include blood tests that measure the levels of the same biomarkers that are part of OneTest™.
The OneTest™ algorithm was built using machine learning to interpret real-world data from over 27,000 individuals. The algorithm significantly improves the interpretation of tumor biomarker data allowing for enhanced prediction of cancer risk.
