Guruduth Banavar

With those three samples, you can get a tremendous amount of the RNA molecules, meaning the expressed genes in your gut, in your mouth, in your blood.

So in your gut and your mouth, it's a majority of your microbiome RNA molecules that we get.

But in your blood, it's your human RNA that we get.

So we connect all those dots, and the amount of data we get from a given individual is like millions and millions.

It's like literally tens of millions of data points for a given individual.

Wow.

And then we select a few of them and combine the dots and create these pathways.

And we measure something like 10,000 very important data points for a given individual, right?

I mean, you talk about companies that are out there who say they have 100 biomarkers, 150 biomarkers, whatever.

They're fighting in the hundreds, right?

We have 10,000 biomarkers that are critical for a given individual.

from your stool, from your blood, from your saliva.

We combine all of those things, and the only way you can do that is through AI.

Wow.

So that's what I've been doing for the last eight years, building up the basic infrastructure, the bioinformatics, the pathway analysis, the biomarker discovery, the recommendation engines, all of those things that are required to understand the RNA and the microbiome through AI.

So I'm going to put all that stuff together and talk about it in a couple of hours.

I'm talking about measuring literally tens of millions of biomarkers in your raw sample, right?

So we measure all of those things and we connect the dots and we build pathways.

And those pathways are based on the 10,000 key biomarkers.

Nice.