Matt Henriksen

It wasn't the smooth delivery of insulin every five minutes.

That was the game factor.

It was when was the right time to deliver the insulin in the first place.

Yeah, and maybe that's, you know, we can jump into the islet pump.

How is that designed to kind of, you know, have that dual mandate of one accuracy and being able to deliver the right insulin at the right time, but also that ease of use factor?

Interesting.

And I was about to ask, kind of dive in a little bit deeper into that carb counting, because that is an important input for some of these other pumps.

I was going to ask how your algorithm is able to avoid requiring those carb counting.

But it sounds like it takes, it's a few days of learning the patient's behavior.

So is it kind of, your algorithm is being able to use kind of that big data machine learning capabilities to be able to

Maybe the same thing as we're talking about, understanding the patient and the impact of the carbs before the patient even realizes it.

Yeah.

And so, I mean, we're focused on carb counting.

Is that kind of the key kind of benefit, ease of use that the patients get?

Are there other ones as well that are worthwhile to note here?

I have a question.

How do the engineers at Beta Bionics enjoy or maybe not so much enjoy the fact that you're a user as well and you can give some first person inputs on the device?

Oh, yeah.

And so then, you know, kind of leading up to the launch itself a few years ago, you know, the randomized pivotal trial data came out.

What was some of the highlights of that data that kind of pointed to these benefits that we've been discussing?