Liberate Bio’s Post

Transcript

I did a podcast a, I don't know, a month or so ago with a guy, a machine learning expert, AI machine learning guy, Andrew Satz and he, he, I love this line. I've quoted it many times. You said machine learning and and biopharma is like sex in high school. The people who say they're doing it really aren't and those who really are aren't talking about it. Well, I love that. I love that. Like, yeah, I get that, right. So start, start worried like automation in vivo, high throughput screening and machine learning. Let's talk about each of those individually. Sure, maybe maybe I can give you like a big picture and then Walter can fill in the details to actually make it real for everyone to recognize that we are in fact doing something in this space. But it makes me think we need to, we need to incorporate at least one more buzzword technology to really hit like the trifecta or the bingo of investor interest. So what I what I will say is like let's take a big step back and in the most basics we're developing, you know anything in the pharma space, the the design, make, test, analyze cycle if you will DM TA. I mean it's been around for decades when it comes to small molecules running through that cycle allows you to come up with an idea test to see if it works, understand the results and then make changes. It's the scientific method in a circle, right. What we've really tried to do is look at what that cycle looks like. Or the development of new delivery vehicles and then identify opportunities to accelerate every aspect of that. You know the DMT a cycle, it's scientific method, it's proven, it's great. It can be very, very slow if you don't discover ways to improve the efficiency and the throughput of those discoveries and frankly find ways to reduce the cost so that you can scale it more efficiently. And so when we talk about automation, high throughput biologic, you know. Vivo results talk about machine learning. Those are the concepts and the tools that we're using to accelerate each one of those cycles.