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My name is near, and I'm the CEO and cofounder with alongside Eric, who is here with me from Canada. Hello, everybody. Thank you for the opportunity to be here.here. Canada. And we're building a company that does builds medical devices. devices. We did land a few hours ago, so if I fall asleep during the presentation. please excuse me. me.So, I'm here to talk about something that's massive unmet need, but it's not really being talked about a lot. lot. And it's called iFloors of virtual capacity. So, it turns out that 52% of adults have iFloors. And I'll just make the assumption that everybody here in the room knows what eye floaters are, and probably most individuals in the room have some sort of eye floaters. And of course some of us have severe floaters which really impacts our ability to do daily functions like reading. writingdriving et cetera.And so today one of the main challenges and one of the main reasons why it's not being talked about as much is there's just no well-established way to treat i floored us.et cetera. us.So there's no approved FDA medical device that's non-invasive to treat eye floaters. eye floaters. The only option is to do what's called a vitrectomy, of course it carries some risks with that.Or YAG laser vitrectomy, which in the US is is technically off label, and there's some concerns around risks with YAG laser, and also it's a very manual approach. So, we are building the world's first non-invasive treatment for eye floaters using 3D image-guided femtosecond laser treatment.To treat floaters. treat floaters. treatment.We're building our system to be highly precise, automated, and make it an on- app, or an office based procedure. procedure. So, my hope for the presentation today is actually showing you where we are in the development stages.stages. SoWhen we are building this image guided, photoacoustic guided treatment, the concept here is that we're tracking and imaging those floras, using that tracking and imaging, we're imaging them in three dimensions. in three dimensions. And then we're delivering femtosecond laser volume treatment in order to eliminate them. So, it's an image-guided treatment, so the first step is to be able to image those floaters, and so We can image floaters. eliminate them. So we've imaged more than 220 eyes to date, and we've shown that we can capture high quality 3D volumes of these eye floaters, and then also be able to quantifyDifferent metrics of what's their shape. floaters. floaters. metrics of what's their shape, what's their size, what what's their capacity, how do they behave, and then we're starting to understand the distribution of loaders within the population and how do we characterize them. And so we've done experiments on I think more than 20 porcine eyes. The second step is of course it has to be safe. right? than 40 porcine eyes to date. And so we are showing that whether treatment patterns were developing. we have about 12 times uh safety buffers today. and we can essentially treat up to 2 millimeters away from the retina. uh, while being safe. The other thing that we're doing is also we're developing effective treatment patterns, right? So we need to image, we need to be safe, we need to be effective. And so what you'll see in the next video here is actually an example of of us testing differentTreatment patterns and then showing that they're actually effective, and so this illustration is just to show you what you're gonna see. see. So there's gonna be a tank that's filled with artificial uh vitreous. And this tank essentially have optics like a human eye. We we develop that, and then we have tweezers in the middle that holds a collagen clump that behaves like a floater material. And so you're seeing here we're centri-imaging. centri-imaging. We have a camera that looks in the back.back. back. The femto comes one way, the camera is on the back. and then we have the collagen fibers, and you can see that we can essentially either remove the entire piece of of collagen. or we can cut a piece of you know one millimeter cube. Inside, and so one millimeter cube treatment takes about 20 seconds.So this is the same, I'm just showing you the before and the after, right? So the top section, you have the pre-treatments on the left, at the left here you can see how we're eliminating that entire collagen piece, and then on the right, how we can Essentially if we want. right? right? how we can Essentially if we want, we can cut a cube outside of that. And so what we're doing is we're doing a lot of work in the lab on test vessels, on pig, ex vivo pig eyes. course, so we're working very hard to get to our first in human treatment studies. treatment studies. ex vivo pig eyes. And so we're essentially building the whole workflow and device of course to be able to prep the eyes, dock onto the eyes, and then do imaging, calibration and treatment.imaging, calibration and treatment. and will be submitted for first in human approvals by the end of this year.this year. this year. In order to make it happen, of course, we built a a world class team. so myself, Eric and our CTO Das, and then we built a a world class board of directors to help us get there.there. there. And so, as I said, our objective for this year and next year is to complete our first in human clinical study on treating patients of course.of course. And you know what I hope you take away from here is is really what we're doing here right? So we're trying to to Solve a massive unmet need. We can image loaders. We can do it safe.
So feel free to reach out. I'd love to connect with you guys. That's it. Thank you. |
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