James Foster
Analyst · Morgan Stanley. Your line is open. Please go ahead
So China has been a place with strong growth rate and good margins, some pricing power. And a lot of that is associated with access to incremental animals and other geographic locals in a very large country. So we've continued to increase capacity, both for the product and the service side in RMS in China, and really, we're pleased with the results. And while we definitely have competition over there, most of its local and most of it is much less sophisticated from an animal quality and veterinary point of view. The dialogue about in-vitro technologies, 3D models, AI, I mean, all of that is not new. We're interested and have always been interested at Charles River in making sure that a minimal amount of animals are used and used appropriately for studies. We've seen the mix in animal models over the years with more refined, higher ASP models, so hypertensive animals, immunocompromised animals, double, triple quadruple immuno-compromised animals, inbreds, hybrids, et cetera., with higher ASPs and less sort of outbred models. I'd say a couple of things that, while I think there's a desire on the part of -- we have a public maybe for there to be a reduction or replacement of new technologies for animal models. And by the way, we see most of those technologies, they will not provide a sufficient safety profile. Most -- many of the drugs, many of the diseases for which we have drugs scientists don't understand the mechanism of action in most diseases. If we don't have drugs, they definitely don't understand the mechanism of action. So trying to replicate that the computer of cell culture or ex vivo system is very complicated, and it's unlikely that the drug companies would take the time to validate those technologies or the regulatory agencies with would be comfortable with that. Yeah. I think it's a little bit different with Discovery. So that's regulated safety. So we don't see any changes. You're going to need a whole animal model to get good results and in most cases, two different species. On the Discovery side, most of the big pharma companies have their own in vitro screens, which they don't share with anybody else. We've made a couple of investments right now in AI and machine learning. We'll make more investments in AI and machine learning. And we can see a time where some of the early discovery answers pre getting into animals, could be done in vitro and could be done faster. I think that's one of the places that we will all save time. So a little bit of a tale of two cities.