Eric Topol

I tend to agree with you, but I think it's provocative at any rate because now it's almost like use your imagination of what's going to happen next.

Now, going back to a more mundane but a very important topic, as you said, at least 20% of the population has sleep apnea.

And all these years we were relying on CPAP machines or BiPAP machines.

Have we ever gotten out of that?

Have we ever progressed from these machines that people have to carry around when they travel and

make a lot of noise.

Are there better solutions for sleep apnea?

Besides, of course, lose loss of weight with GLP-1 drugs that we've seen some real impressive results.

So one, is there a better approach?

And two, does fixing the apnea spells really change the natural history of a person's health?

And what's interesting is some of the effects of these drugs are independent of weight loss, cardiovascular and

liver, kidney, you know, the benefits are occurring even before there's any weight loss and reduced inflammation being particularly in the brain and in the body.

But here, it looks like it's more a weight loss function.

Now, recently, James Oh and colleagues at Stanford published a very remarkable sleep foundation model where they had 65,000 people out of their sleep labs.

So you probably have even more in Wash U, I imagine, in your lab.

But

they they were able to predict 130 diseases from one night of sleep where they took all the different sensor data and everything and were able to say this person's going to have a heart attack this one's going to have parkinson's this one's going to have heart failure um do you think there's a lot encoded in that physiology of sleep that someday we we'd all should have a formal sleep study and help us prevent the diseases that we're at risk for

Yeah, no, I think it's really intriguing, especially because there's always been the sense that, oh, these sleep lab studies are non-physiologic.

Now, just do it at home or don't do it at all.

But there's something that is captured with all this exquisite, continuous data during a night that is really fascinating how it could be predictive of health and someday may be part of a way to assess a person's risk and to change that data.