Life is multifaceted. Everything is similar - nothing is identical. Currently, about 8 billion people live on earth - not two of them are exactly alike.
The metabolism of all these people is also similar, but not the same. Our task now is to learn up to which point "similar" still means healthy, or more precisely "normal", and how deviations for, e.g. diseases look like, and from when these then become meaningful.
In order to obtain a good significance, it is necessary to understand the condition "normal" as well as possible. Because "normal" for a 60 year old man is different from "normal" for a 30 year old woman.
That's why we now have digitally recorded well over 100,000 individuals - and therefore know much better what is "normal". This is the only way we can detect abnormalities much more precisely.
Of the 8 billion people on earth, we can immediately recognize everyone as human. We are all very similar - our genetic variance is less than 1%.
Our goal is to isolate disease-specific abnormalities from the many influences on a person's metabolism.
To date, we have digitized well over 100,000 people. From these, we have generated well over 10 million high-precision metabolite data and translated these into over 1 billion individual metabolic dependencies.