 Welcome to WISIS Forum here in Geneva and joining me is Tatiana Canzaveli. Tatiana, you're the CEO of the Open Health Network based in the USA. Welcome. Thank you for getting me on the show. Glad to be here. The theme of WISIS Forum 2022 is well-being, resilience and inclusion. And the Open Health Network is very much sort of plugged into those goals, isn't it? Yeah, absolutely. We're all about getting insights of diseases from causation to treatment and figuring out how to use lots of data that we can gather to early diagnose things or to find exact set of treatments that will treat very complex diseases at precision level for you. And to do that, we collect lots of lots of data, of course with consent. And we partner with large healthcare organizations for that. And the types of data we collect is, I can give you examples. So we, for example, can ship to people seven different devices and sensors. So in, let's say, for two weeks, we collect every single heartbeat, every single breathing, sleep patterns. But we also collect environmental in the context where you live because that impacts your health, such as, let's say, noise level, humidity. Then we send technicians to take blood tests, then we take genetics data. And when we get that massive amount of multidimensional data sets, we actually creating a digital twin of you. And I think this is, A, super exciting. B, it gives us so many opportunities to provide precision personalized care, but even move things in healthcare beyond that. And that is the future of healthcare. So I'm just thrilled that we can do all of those things as we speak. And it is tightly aligned with, you know, sustainable goal number three, which is health for all. And hopefully we will be able to build digital twins at population level to start with. So we can say, let's take a look at people in underserved communities who have sleep disorders, for example, right? So we can aggregate at that level to start with. And then we can, you know, from reducing cycle for drug development all the way to coming with precision level, you know, and personalized treatment options. But if I'm looking forward, then, you know, I'm looking at having my digital twin that represents, for example, healthy me, right? Yes. And then constantly watching for little things that change in real me that deviate from healthy me so I can potentially identify little things early enough to go and check on them before it's too late. Because humans would tend to ignore, oh, I'm a little bit tired. That's okay. You know, I didn't sleep well. You see what I mean? So we go and see our physician when there's a healthcare emergency. Rather than when the first signs are there. Exactly. That's what we ignore. We don't know, right? But if we can create, you know, an algorithm and have this digital healthy thing that we can constantly compare against. It's so interesting. I wish you the very best of luck with developing all these digital twins. Thank you. Tatiana Kanzavelay, thank you so much for joining us. Thank you.