Paul ColettaGuest
Peter BowesHost
What does the test itself involve? Because a lot of preventative health interventions these days are quite involved.

blood test, one vial of blood plasma that we send off to one of our proteomic labs, Soma or Olink in particular.

And then we put that through our proprietary machine learning system that uses lasso regression to give us an estimated age gap for each organ.

That's the difference in estimated age between your particular organ and your chronological age.

So the thinking is the older estimated age of your organ, the higher risk it has for disease.

So this is, there are a few technical terms there, this is essentially artificial intelligence that is being used to make this estimation.

And I might just back up and say, for those of your listeners that are not familiar with proteomics, basically the study of proteins.

And these are very powerful, real-time reporters of your health because they are the actual building blocks of the organ.

Our assay looks at about 11,000 of your 25,000 proteins, and every one of those proteins come from a particular organ.

So I could pull, Peter, out of your plasma one protein and say this is a protein from Peter's heart or his brain or his lungs.

And that is what is so powerful about proteomics and very different from all the other biological aging clocks that are on the market.

Almost all of these clocks are whole body, these other clocks, and are measuring DNA methylation.

This is actually measuring the proteome, actually measuring the building block, the real-time reporter of your health at the organ level.

Now, you said that as a result of your test, you subsequently had an ultrasound and found a large, benign renal cyst.

It was a subsequent ultrasound, but it was the test that alerted you to that situation.

What does the test itself involve? Because a lot of preventative health interventions these days are quite involved.

blood test, one vial of blood plasma that we send off to one of our proteomic labs, Soma or Olink in particular.

And then we put that through our proprietary machine learning system that uses lasso regression to give us an estimated age gap for each organ.

That's the difference in estimated age between your particular organ and your chronological age.

So the thinking is the older estimated age of your organ, the higher risk it has for disease.

So this is, there are a few technical terms there, this is essentially artificial intelligence that is being used to make this estimation.

And I might just back up and say, for those of your listeners that are not familiar with proteomics, basically the study of proteins.

And these are very powerful, real-time reporters of your health because they are the actual building blocks of the organ.

Our assay looks at about 11,000 of your 25,000 proteins, and every one of those proteins come from a particular organ.

So I could pull, Peter, out of your plasma one protein and say this is a protein from Peter's heart or his brain or his lungs.

And that is what is so powerful about proteomics and very different from all the other biological aging clocks that are on the market.

Almost all of these clocks are whole body, these other clocks, and are measuring DNA methylation.

This is actually measuring the proteome, actually measuring the building block, the real-time reporter of your health at the organ level.

Now, you said that as a result of your test, you subsequently had an ultrasound and found a large, benign renal cyst.

It was a subsequent ultrasound, but it was the test that alerted you to that situation.
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