Andy Halliday

But they did it across millions of people who have done sleep studies.

I don't know if it's actually millions.

It's hundreds of thousands probably that Stanford's done over the last 20 years.

And what they were able to find with AI is that there are markers that human analysts couldn't really see, but there are markers in the patterns of all of this data coming from the sleep study

that has a very high predictive value for certain conditions.

And so they could predict with good accuracy, like 0.8 probability of accuracy, that you would have this health condition if you showed these patterns in your sleep study data.

And this...

This portends a time when you'll be able to hook yourself up with your, you know, watch and or ring and, and, you know, something else, maybe a little cap that you put on for, and sort of remote ECG, uh,

you'll be able to track your own sleep pattern, and that will have some predictive value in your health context.

And you might be able to identify that, oh, this person, just from watching them sleep and having all these, you know, access to this sensor data, watching this person sleep, we know that this person has the early signs of ALS, for example.

way before it could be detected by other clinical methods.

So that's pretty interesting.

And this is just one method, just looking at the sleep cycles.

Now imagine all the information being accessible to a master AI data analysis of all of the health information across many, many individuals and getting the predictive value out of that.

So healthcare is really moving forward here.

A hundred percent.

Yeah, while technology is moving forward, of course, our actual national healthcare systems are going backwards.

You probably heard on the news that the Department of Health and Human Services has recommended now that you eat more meat and more cheese.

Yes.

Yeah.