Technical Details

'OneTEST' "STANDARDIZES" RISK CALCULATIONS

Until 'OneTEST', every physician had to make their own decision as to how high someone's risk of having early stage cancer was.  Now OneTEST provides everyone with a 'STANDARDIZED' algorithm and formula backed by A.I technology, to conclude how high this risk of someone having early stage cancer is.

WHY 'OneTEST' ???

According to the American Cancer Society, a person's lifetime risk of getting cancer is almost 40 %.  On top of that, most cancers do not present symptoms until they are in their late stages.  When finally diagnosed,  treatment becomes more difficult, more expensive, and offers lower chances for long time survival.

HOW ACCURATE IS 'OneTEST' ?

Based on the historic performance of 'OneTEST' over a 12 year period, we expect about 4 out of 5 cancers will be detected with this test, depending on the type of cancer.

HARNESSING THE POWER OF A.I. WITH RESULTS FROM 28,000 PEOPLE

Traditional blood tests look at each biomarker result, one at a time.  'OneTEST' uses the power of A.I. machine learning to look at patterns in your test results simutaneously with data from 28,000 individuals screened over a 12 year period, and incorporates important information from your health history to provide you with the most accurate risk assessment.  Now, for the first time, 'OneTEST' offers cancer testing where current screening options leave many common cancers, such as Lung Cancer, Bladder Cancer, Pancreatic Cancer, Thoracic Cancer, and a few others, unchecked.

AN EXAMPLE FROM A TYPICAL LUNG CANCER CASE

The normal size for the early detection of lung cancer is about 1.0 cm in size, 2 grams in weight, and about 0.5~1.0 billion cancer cells in number.  At this point, the lung cancer is considered as early state cancer or Stage 1 cancer.  The average elapsed time from onset until this detection is about 10 years.  From this point, the time it takes, on average, to progress to terminal lung cancer is only about 3 years !!!