WEBVTT - E-Commerce Outlook, DNA/RNA Sequencing 

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<v Speaker 1>This is Bloomberg Business Week, insight from the reporters and

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<v Speaker 1>editors that bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news as it happens. Bloomberg

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<v Speaker 1>Business Week with Carol Masser and Tim Steneveek on Bloomberg Radio.

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<v Speaker 2>It is Bloomberg Business Week. Some news in the world

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<v Speaker 2>of retail today Carol Macy's issuing a downbeat outlook for

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<v Speaker 2>sales in the current quarter. It was a sign that

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<v Speaker 2>executives might have been too optimistic about their expectations for

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<v Speaker 2>the holiday shopping season. Abercrombie and Fitch announced better than

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<v Speaker 2>expected sales for the holidays, but at share price tumbled

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<v Speaker 2>this after its sales growth target fell short of some

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<v Speaker 2>analyst expectations. They closed out the day lower by more

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<v Speaker 2>than fifteen percent, close to sixteen percent. I do know

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<v Speaker 2>that Travis has watches this stuff closely, the CEO of

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<v Speaker 2>Big Commerce. It's an e commerce platform that works with

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<v Speaker 2>businesses around the world to help them sell you their stuff.

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<v Speaker 2>Companies such as Yetti Cycles, Johnny Walker, Uplift Desk are

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<v Speaker 2>among Big Commerces customers. It's publicly traded on the NASDAK

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<v Speaker 2>it's a small cap market value just shy of five

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<v Speaker 2>hundred million dollars. Travis joins us here in the Bloomberg

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<v Speaker 2>Interactive Brokers studio. Travis, good to see you doing some

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<v Speaker 2>research on this, and you probably hate this comparison, but

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<v Speaker 2>it's the world we know. I'm looking at the website,

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<v Speaker 2>I'm understanding your business. Are you competitor Shopify?

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<v Speaker 3>Of course, yeah, I certainly have come out of that

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<v Speaker 3>ecosystem as well. I think our approach philosophically is different.

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<v Speaker 3>So composibility is at the core of what we're doing,

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<v Speaker 3>and if you want to draw an analogy, it's more

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<v Speaker 3>open versus closed. I think our perspective on this is

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<v Speaker 3>we believe more disruption and innovation will come by way

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<v Speaker 3>of third party ISVs and software providers, and as a result,

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<v Speaker 3>our focus is really about the ingestion of those capabilities

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<v Speaker 3>now and in the future, as opposed to building them

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<v Speaker 3>innately into the platform themselves.

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<v Speaker 4>Would you say they are the biggest competitor out there?

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<v Speaker 3>It depends on the market, certainly for traditional D two

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<v Speaker 3>C and certainly digital native vertical brands. Unquestioned. I think

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<v Speaker 3>if you look at the meaning director direct.

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<v Speaker 5>To consumer correct go ahead, it's finish your point.

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<v Speaker 4>Yeah.

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<v Speaker 3>I think if you look at different markets, different geographies,

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<v Speaker 3>you're certainly going to have a different types of competitors,

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<v Speaker 3>but certainly they're the most outward and vocal about it

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<v Speaker 3>and certainly the one most obvious to understand.

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<v Speaker 5>So tell us a company comes to you a retail

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<v Speaker 5>and tell us what you do for them.

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<v Speaker 3>Yeah. I think for retailers, brand manufacturers, manufacturers and distributors,

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<v Speaker 3>we are optimizing revenue for them while driving profitability independent

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<v Speaker 3>of channel. I think the name of the game now

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<v Speaker 3>is to go where customers want to interface with you

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<v Speaker 3>as a brand, regardless of where they may buy your

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<v Speaker 3>product or service. And I think the key challenges organizational

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<v Speaker 3>agility at the organizational level to be able to go, experiment,

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<v Speaker 3>drive value exchange through those different channels with speed agility

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<v Speaker 3>at scale.

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<v Speaker 5>So this means potentially building out an e commerce platform,

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<v Speaker 5>but also then helping them with what back office maybe

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<v Speaker 5>at actual retail operations, and making it all work together

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<v Speaker 5>one hundred percent.

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<v Speaker 3>So whether it's an own channel or a non owned

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<v Speaker 3>channel that could be sitting brick and mortar with an

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<v Speaker 3>own brick and mortar retail, it could be non owned marketplace.

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<v Speaker 3>It could be a social channel or those that made

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<v Speaker 3>it come in the future.

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<v Speaker 2>I want to talk about cart abandoned mint because this

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<v Speaker 2>is an issue for retailers.

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<v Speaker 4>Yeah time, Yeah, you put all the time. Well, what

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<v Speaker 4>causes you to do it?

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<v Speaker 5>Because I'm just not quite sure I really want something?

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<v Speaker 5>Or I'm thinking about do I really need this? And

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<v Speaker 5>it's so easy when you're just going through like yeah,

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<v Speaker 5>and then I'm just like I'm done. So you know

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<v Speaker 5>when I get those annoying emails like you left something

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<v Speaker 5>in your car and I'm like, nope, I meant to.

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<v Speaker 4>You got to return the card, Carrol.

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<v Speaker 2>What causes me for card abandonment is maybe more lazy

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<v Speaker 2>than Carol. It's the payment part. And one thing that

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<v Speaker 2>I love seeing when.

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<v Speaker 4>I'm checking out is Apple pay right there.

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<v Speaker 2>Of course, all I have to do is put my

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<v Speaker 2>face in my phone and press the button twice.

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<v Speaker 4>It's bought.

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<v Speaker 2>I don't have to pull out my credit card, enter

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<v Speaker 2>the info, put in my eyes, wait to your.

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<v Speaker 5>Two little ones can do.

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<v Speaker 2>That they're allowed to do. No, that's not going to

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<v Speaker 2>be good. What's the what's the check thought process? How

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<v Speaker 2>do you make sure it's standardized? So it's so easy

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<v Speaker 2>to part with your money.

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<v Speaker 3>Well, to exactly your point, I mean, we take an

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<v Speaker 3>agnostic approach to check out, so as far as ingestion

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<v Speaker 3>of payment providers, whether that's Apple pay or PayPal or

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<v Speaker 3>Stripe or whomever, obviously whatever fits the best use cases

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<v Speaker 3>for a particular brand and size and business logic. But yes,

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<v Speaker 3>it's to remove friction. It's to make that decision very quick,

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<v Speaker 3>very easy, very seamless, so less steps.

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<v Speaker 4>Along the PROCEMCE.

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<v Speaker 2>Do you have your your own equivalent of shop pay, Like,

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<v Speaker 2>if I'm buying something I don't even know if it's

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<v Speaker 2>a Shopify powered site, I put in my phone number,

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<v Speaker 2>they send me a text message boom.

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<v Speaker 4>My information is already there. I don't need a password

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<v Speaker 4>or anything. I got my stuff.

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<v Speaker 3>We do that today. PayPal just lost fast Lane launched

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<v Speaker 3>fast Lane, which is an alternative that with a much

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<v Speaker 3>deeper install basis. Certainly, if you're anonymous coming to a

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<v Speaker 3>site and you begin to check out and you're not

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<v Speaker 3>logged in, the fact that they have your account information

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<v Speaker 3>will prepopulate that and again remove friction and make it

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<v Speaker 3>more accelerated.

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<v Speaker 6>You don't have a native one for your company Historically,

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<v Speaker 6>we've not gone to mart with native We've certainly talked

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<v Speaker 6>about it, we've considered it that maybe something we explore

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<v Speaker 6>in the future, but the business model for us has

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<v Speaker 6>not been We are not a bank.

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<v Speaker 3>We have not monetized and commercialized a business model based

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<v Speaker 3>on a payment capacity. We've believed in very much, you know,

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<v Speaker 3>and ingesting that agnostically.

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<v Speaker 5>You know, it's so funny that you say that, Tim,

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<v Speaker 5>that I do. I agree that, Like, you know, it's

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<v Speaker 5>just sometimes been its Apple Page's just so easy. But

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<v Speaker 5>sometimes with like shop pay and like the information comes

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<v Speaker 5>up and I'm like, oh, yeah, somebody else has all

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<v Speaker 5>my information, and like sometimes that freaks me out. How

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<v Speaker 5>do you like continue to think about security of shoppers information?

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<v Speaker 3>I think securities front and center obviously, and I think

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<v Speaker 3>that the more personalized we get, it's kind of threading

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<v Speaker 3>the needle. You want to serve up a very relevant,

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<v Speaker 3>personalized experience, but not so much where it feels intrusive,

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<v Speaker 3>where people are hesitant to obviously share information, because the

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<v Speaker 3>more information they share, the more relevant immersive experience we

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<v Speaker 3>can kind of deliver to them at scale. And so

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<v Speaker 3>it is a fine balance for brands obviously wanting to

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<v Speaker 3>capture consumer informational leverage it in a way that would

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<v Speaker 3>be you know, viable and meaningful and driving efficacy, but

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<v Speaker 3>not so much so it feels intrusive.

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<v Speaker 5>You are shopping platforms, so you see, right, you see

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<v Speaker 5>a lot of information, A lot of data goes through

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<v Speaker 5>like you have access we know or like like I

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<v Speaker 5>am curious about someone like you? Guys that what it

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<v Speaker 5>tells us about what's going on with consumers and like

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<v Speaker 5>the retail environment.

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<v Speaker 3>Yeah, we certainly can see consumer behavior as far as

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<v Speaker 3>what's being added to col I.

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<v Speaker 5>Wasn't trying to get you to tell me what tim

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<v Speaker 5>last spot. But anyway, God, it's all good.

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<v Speaker 3>Yes, of course we're I mean, and there's many companies

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<v Speaker 3>that have access to these sorts of things that they

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<v Speaker 3>want us to. Of course, we're going to see behavior

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<v Speaker 3>of what's being added the car, where people are browsing,

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<v Speaker 3>how often they're browsing, and what they're clicking on, what

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<v Speaker 3>they're abandoning, and how that's facilitating abandoned card emails and

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<v Speaker 3>things like that. And of course we're leveraging those capabilities

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<v Speaker 3>and serving it back to organizations, and they're also using

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<v Speaker 3>their own algorithms and analytics and insights internally to get

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<v Speaker 3>better at what it is that they're doing.

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<v Speaker 5>Well, what does it tell you about the consumers that

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<v Speaker 5>you do have that access? Just big broad strokes here.

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<v Speaker 3>I think consumers most recently become more promotionally oriented. I

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<v Speaker 3>think a lot of people are abandoning carts because they're

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<v Speaker 3>testing the waters on could I get a better deal

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<v Speaker 3>if I wait to.

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<v Speaker 5>Look at the un copons all the time? Yep, like wherever?

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<v Speaker 3>And you've seen this trend through the holiday traffic. I

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<v Speaker 3>think brands that have historically weren't promotional have gotten very promotional.

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<v Speaker 3>I think you've seen a promotionally oriented economy in many capacities,

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<v Speaker 3>certainly in traditional segments like fashion and health and beauty

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<v Speaker 3>and things like that. I think most folks want some

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<v Speaker 3>semblance of a recurring revenue models or anything that's subscriptively

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<v Speaker 3>oriented becomes a bit easier to predict and a bit stickier,

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<v Speaker 3>and those that aren't, again, especially with fast fashion and

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<v Speaker 3>other industries where they're constantly turning over, it's all about

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<v Speaker 3>velocity of skew volume. It does tend to be promotional,

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<v Speaker 3>but it's also eroding margins. And again it's a fine line,

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<v Speaker 3>especially with potentially looming tariffs. What impact is that going

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<v Speaker 3>to have on profitability? If those tariffs negatively in fact

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<v Speaker 3>a supply chain and cost of goods.

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<v Speaker 2>Do you see the tariffs being implemented, Does that happen?

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<v Speaker 4>Well?

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<v Speaker 3>Is that something that I think that's I think it's

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<v Speaker 3>been signal letting, you know, lover hate the incoming administration.

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<v Speaker 3>I think arguably you can judge past behavior that tariffs

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<v Speaker 3>are a real thing. It's been certainly socialized, and depending

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<v Speaker 3>on someone's supply chain and how oriented they are and

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<v Speaker 3>producing things in areas that may be impacted by tariffs,

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<v Speaker 3>it's certainly going to impact their business.

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<v Speaker 4>Your customer is getting ready for it.

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<v Speaker 3>Yeah, I think everyone's getting ready for it, and I

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<v Speaker 3>think you're seeing people hedge, certainly in industries that would

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<v Speaker 3>be heavily impacted by manufacturing in China, maybe looking at

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<v Speaker 3>alternatives in region or maybe bringing things more domestic. Depends

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<v Speaker 3>on the industry, depends on the margin, but certainly it's

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<v Speaker 3>it's front and center, all.

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<v Speaker 2>Right, Travis Hess really cool stuff, Thanks so much for

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<v Speaker 2>joining us. Congrats on the new job too.

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<v Speaker 3>Thank you guys.

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<v Speaker 2>Having CEO of a big commerce joining us here in

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<v Speaker 2>the bloom we're gonnact to Brokers Studio Well. The forty

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<v Speaker 2>third annual JP Morgan Healthcare Conference in San Francisco is underway.

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<v Speaker 2>It brings together healthcare executives and pharmaceutical industry leaders and

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<v Speaker 2>tech innovators to discuss the latest in the sector. One

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<v Speaker 2>of those companies is Oxford Nanoport Technologies. It's the one

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<v Speaker 2>point six billion dollar market cap company that has devices

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<v Speaker 2>that sequence DNA and RNA to offer real time analysis.

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<v Speaker 2>We got with us right now. Doctor Gordon Sangarra, the

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<v Speaker 2>co founder and CEO of Oxford Nanoport Technologies, joins us

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<v Speaker 2>from the JP Morgan Health Conference. Shares surging today as

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<v Speaker 2>much as twenty five percent. It's the steepest gain going

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<v Speaker 2>back to September of twenty twenty one. So you guys

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<v Speaker 2>had some news out a trading update that analysts certainly

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<v Speaker 2>found reassuring. We're going to get to that a minute,

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<v Speaker 2>but let's take a big step back here, because I'm

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<v Speaker 2>interested in for the lay person understanding exactly what your

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<v Speaker 2>device does, what your technology does.

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<v Speaker 7>Sure, I'm afternoon, everybody from sunny San Francisco, warmer than London,

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<v Speaker 7>so we have a genetic analyzer that is analogous to

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<v Speaker 7>what happened in the computer industry. So today the incumbents

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<v Speaker 7>that do genomic analysis are like mainframe computer providers. They're large,

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<v Speaker 7>complex machines, multimillion dollar in multimillion dollar infrastructures. We are

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<v Speaker 7>able to provide cheap, small devices, very similar to the

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<v Speaker 7>change in computing from mainframe to desktop to handheld. Here's

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<v Speaker 7>a sequencer I brought with me. This is our minion.

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<v Speaker 2>So look it's like the size of a smartphone for

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<v Speaker 2>people who are listening.

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<v Speaker 7>It really is, yes, and that was critically important in

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<v Speaker 7>distributed sequencing and understanding all the variants during the COVID epidemic.

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<v Speaker 4>How much is one of these devices?

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<v Speaker 7>Couple of thousand dollars, so very cheap, very affordable. It's

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<v Speaker 7>that's orders of magnitude cheaper than an existing centralized machine

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<v Speaker 7>where you're batching everything to get economies of scale. These

0:10:58.320 --> 0:11:01.720
<v Speaker 7>things are pay as you go. So it's really the

0:11:01.920 --> 0:11:05.960
<v Speaker 7>step change in the way that we saw democratization and

0:11:06.040 --> 0:11:11.480
<v Speaker 7>access of compute. The same for DNA and information. As

0:11:11.520 --> 0:11:16.440
<v Speaker 7>we know from the last pandemic, distributed access to DNR

0:11:16.480 --> 0:11:19.320
<v Speaker 7>and information is going to be important to stamp that

0:11:19.360 --> 0:11:20.000
<v Speaker 7>out quickly.

0:11:20.160 --> 0:11:24.720
<v Speaker 5>Doctor Sinker. From our understanding the presentation you did, are

0:11:24.800 --> 0:11:28.360
<v Speaker 5>doing or planning to do at the JP Morgan Healthcare Conference,

0:11:28.800 --> 0:11:31.280
<v Speaker 5>there's four core end markets for you guys. The biggest

0:11:31.320 --> 0:11:36.040
<v Speaker 5>one is research. So by enabling researchers and R and

0:11:36.120 --> 0:11:40.240
<v Speaker 5>d AT, I guess companies at academic universities and so on,

0:11:40.480 --> 0:11:44.880
<v Speaker 5>and institutions, I guess tell us what that will be

0:11:45.000 --> 0:11:49.160
<v Speaker 5>used for and what that enables these institutions and companies

0:11:49.200 --> 0:11:50.640
<v Speaker 5>to do that they might not be able to do

0:11:50.679 --> 0:11:52.320
<v Speaker 5>today so easily or so cheaply.

0:11:53.480 --> 0:11:56.000
<v Speaker 7>Absolutely so, if we do it in the context of

0:11:56.040 --> 0:12:01.080
<v Speaker 7>human genomes, that's three billion letters on what continuous chain

0:12:01.280 --> 0:12:06.560
<v Speaker 7>for bases GTAC, And for twenty years people have taken

0:12:06.640 --> 0:12:10.760
<v Speaker 7>that DNA, breaking it down into two hundred base bit

0:12:10.800 --> 0:12:13.600
<v Speaker 7>of chains, made a copy. So I've gone from full

0:12:13.679 --> 0:12:16.400
<v Speaker 7>high definition color to black and white, and then you

0:12:16.520 --> 0:12:20.120
<v Speaker 7>get some interesting insights in biology, but you're really losing

0:12:20.200 --> 0:12:24.040
<v Speaker 7>a lot. We're able to read the native DNA as

0:12:24.080 --> 0:12:28.079
<v Speaker 7>it's presented from, for example, a patient sample, which means

0:12:28.200 --> 0:12:31.079
<v Speaker 7>we can look at that DNA in full high definition

0:12:31.280 --> 0:12:35.000
<v Speaker 7>in color in a very simple device in real time

0:12:35.400 --> 0:12:39.760
<v Speaker 7>with affordable, accessible equipment. So those researchers, whether it's a

0:12:39.880 --> 0:12:45.840
<v Speaker 7>PhD student in academia or you know, big biofarmers, they're

0:12:45.920 --> 0:12:50.800
<v Speaker 7>able to illuminate what is often referred to as parts

0:12:50.840 --> 0:12:54.360
<v Speaker 7>of the dark genome, which code for some of the

0:12:54.360 --> 0:12:59.640
<v Speaker 7>most difficult disorders that we cannot get at today, mental health,

0:13:00.120 --> 0:13:05.760
<v Speaker 7>neuroad generation, early early onset cancer, Alzheimer's, things like this,

0:13:06.280 --> 0:13:09.800
<v Speaker 7>And they're now beginning and there are the foothills of

0:13:09.840 --> 0:13:14.199
<v Speaker 7>that journey to understanding the biology that underpins these diseases

0:13:14.280 --> 0:13:17.000
<v Speaker 7>that we've not really moved the needle on fifty years.

0:13:17.480 --> 0:13:20.640
<v Speaker 5>So is this to help not only in treatment of individuals,

0:13:20.640 --> 0:13:25.080
<v Speaker 5>but also to create better modalities.

0:13:24.720 --> 0:13:32.720
<v Speaker 7>For treatment, absolutely, both accelerating biomarket discovery by moving to

0:13:33.400 --> 0:13:36.880
<v Speaker 7>so people we all talk about the genome. So twenty

0:13:37.000 --> 0:13:40.480
<v Speaker 7>years ago the genome was published, and that's really just

0:13:40.559 --> 0:13:45.440
<v Speaker 7>looking at single point mutations. There is now a movement

0:13:45.640 --> 0:13:49.520
<v Speaker 7>to multi omic genomes. What does that mean, Well, we

0:13:49.600 --> 0:13:53.560
<v Speaker 7>have four bases GTAC. There is actually a fifth base,

0:13:53.840 --> 0:13:57.960
<v Speaker 7>which is chemical corruption of your c base and that

0:13:58.360 --> 0:14:03.280
<v Speaker 7>chemical change is methylation, and methylation is the smoking gun

0:14:03.440 --> 0:14:06.960
<v Speaker 7>in all cancers. And that's been known for twenty years,

0:14:07.000 --> 0:14:12.240
<v Speaker 7>but this technology really allows you to get comprehensive maps

0:14:12.240 --> 0:14:17.240
<v Speaker 7>of methylation which are then having a huge impact immediately. So,

0:14:17.400 --> 0:14:24.720
<v Speaker 7>for example, acute milue leukemia needs treatment immediately. Diagnosis today

0:14:24.920 --> 0:14:28.120
<v Speaker 7>takes three to four days, maybe a week. By looking

0:14:28.200 --> 0:14:32.600
<v Speaker 7>at methylation in those patient samples, so this chemical corruption,

0:14:33.400 --> 0:14:38.720
<v Speaker 7>they can determine the type of leukemia AML in four

0:14:38.720 --> 0:14:41.600
<v Speaker 7>to six hours and that is game changing in terms

0:14:41.640 --> 0:14:46.960
<v Speaker 7>of treatment. So rapid insights in acute and critical care

0:14:48.120 --> 0:14:53.040
<v Speaker 7>is something that this technology allows because it's distributed point

0:14:53.040 --> 0:14:56.400
<v Speaker 7>of care, it's real time, and it's giving you content

0:14:56.520 --> 0:14:58.520
<v Speaker 7>that you do not get with existing tech.

0:14:59.120 --> 0:15:01.840
<v Speaker 2>Who help us underst stand who has the devices versus

0:15:01.880 --> 0:15:03.880
<v Speaker 2>who doesn't have these devices?

0:15:04.800 --> 0:15:05.080
<v Speaker 7>I e.

0:15:05.680 --> 0:15:08.120
<v Speaker 2>What is the market opportunity that you have left at

0:15:08.120 --> 0:15:13.240
<v Speaker 2>this point? Because if it is indeed something that offers

0:15:13.640 --> 0:15:19.640
<v Speaker 2>a service at such a lower cost, then is everybody

0:15:19.640 --> 0:15:21.600
<v Speaker 2>who wanted one do they have one yet?

0:15:22.840 --> 0:15:23.240
<v Speaker 3>Not yet?

0:15:23.560 --> 0:15:26.680
<v Speaker 7>It's a great question, and it's about the evolution of

0:15:26.680 --> 0:15:30.000
<v Speaker 7>a disruptive new technology. We are in the foothills of

0:15:30.040 --> 0:15:34.200
<v Speaker 7>that journey. So who has them today? These are the

0:15:34.280 --> 0:15:40.000
<v Speaker 7>sort of forward thinking academic nissons by a farmer companies,

0:15:40.040 --> 0:15:45.120
<v Speaker 7>particularly you know, the newer waive of synthetic biology, gene editing, bella,

0:15:45.160 --> 0:15:51.160
<v Speaker 7>gene therapy companies. All of these people are creating momentum

0:15:51.760 --> 0:15:55.160
<v Speaker 7>around the use cases and just sort of two to

0:15:55.280 --> 0:15:58.760
<v Speaker 7>three up year outlook, you will see that then moving

0:15:58.800 --> 0:16:04.240
<v Speaker 7>towards routine nical practice. And that's why, in what is

0:16:04.320 --> 0:16:07.600
<v Speaker 7>an incredibly tough market, with all our peer groups either

0:16:07.640 --> 0:16:11.720
<v Speaker 7>posting no growth or negative growth, we have continued to

0:16:11.840 --> 0:16:16.080
<v Speaker 7>hit our year on year growth twenty three percent and

0:16:16.640 --> 0:16:20.640
<v Speaker 7>half two to half two thirty four percent because there

0:16:20.720 --> 0:16:24.320
<v Speaker 7>is that unmet need is being met and at breakneck

0:16:24.400 --> 0:16:29.400
<v Speaker 7>speed on a weekly basis, we see game changing opportunities.

0:16:30.080 --> 0:16:34.520
<v Speaker 7>The next phase of turning that into routine clinical workflows

0:16:34.920 --> 0:16:37.360
<v Speaker 7>is something that will be big for us in twenty

0:16:37.400 --> 0:16:40.680
<v Speaker 7>five and then twenty six, twenty seven you will start

0:16:40.720 --> 0:16:46.280
<v Speaker 7>to see that market penetration too much broader routine use.

0:16:46.480 --> 0:16:49.800
<v Speaker 5>So doctor Sinkara, So I don't know fast forward then

0:16:50.280 --> 0:16:52.600
<v Speaker 5>is it five years from now, seven years from now?

0:16:53.000 --> 0:16:56.840
<v Speaker 5>How might this product that you guys have developed, how

0:16:56.920 --> 0:17:02.160
<v Speaker 5>might it change our worlds? To think about from our audience,

0:17:02.200 --> 0:17:06.280
<v Speaker 5>a Bloomberg audience, from you know, financial perspective and an

0:17:06.320 --> 0:17:11.280
<v Speaker 5>investing perspective. You know what opportunities that that potentially could

0:17:11.280 --> 0:17:13.280
<v Speaker 5>open up as well, or your device could open up

0:17:13.280 --> 0:17:13.640
<v Speaker 5>as well.

0:17:14.240 --> 0:17:19.359
<v Speaker 7>Absolutely so in the last three or four years five years,

0:17:20.119 --> 0:17:24.399
<v Speaker 7>early detection of cancer become a thing liquid biopsy, so

0:17:24.520 --> 0:17:28.199
<v Speaker 7>where you're looking at short fragments of cancer cells before

0:17:28.200 --> 0:17:30.800
<v Speaker 7>there's a tumor, and if you can pick that cancer

0:17:30.880 --> 0:17:34.560
<v Speaker 7>up early, there's a real opportunity that your treatment outcomes

0:17:34.560 --> 0:17:39.959
<v Speaker 7>can be much, much, incredibly improved. So I m visied

0:17:40.000 --> 0:17:43.280
<v Speaker 7>your world three four or five years out where if

0:17:43.280 --> 0:17:46.840
<v Speaker 7>you've had cancer, you're in remission. Instead of going for

0:17:46.920 --> 0:17:49.159
<v Speaker 7>a six monthly check up, you'll do a monthly blood

0:17:49.160 --> 0:17:52.280
<v Speaker 7>test and if you see that cancer reoccur, you pick

0:17:52.320 --> 0:17:55.439
<v Speaker 7>it up immediately and it gets treated. But ultimately, if

0:17:55.480 --> 0:17:58.320
<v Speaker 7>you come from a high risk grouping, because your whole

0:17:58.359 --> 0:18:01.880
<v Speaker 7>genome has been sequenced and we know that you'll then

0:18:01.960 --> 0:18:07.280
<v Speaker 7>be routinely surveyed and distributed, healthcare will become a big thing.

0:18:07.720 --> 0:18:11.520
<v Speaker 7>But let me take that a step further. I'm Punjabi heritage,

0:18:11.680 --> 0:18:16.280
<v Speaker 7>so I have a high propensity tocodiovascular disease and I

0:18:16.359 --> 0:18:21.560
<v Speaker 7>should and probably should be on statins, but it turns

0:18:21.600 --> 0:18:26.000
<v Speaker 7>out that if you were to eat tomato that are

0:18:26.080 --> 0:18:29.000
<v Speaker 7>rich in something called beta licopene, you can get the

0:18:29.040 --> 0:18:34.080
<v Speaker 7>same benefit of a drug statin. Wow, and so I

0:18:34.240 --> 0:18:38.679
<v Speaker 7>envisited your world where through gene editing, I have a

0:18:38.760 --> 0:18:41.879
<v Speaker 7>custom diet that would allow me to not have to

0:18:41.920 --> 0:18:45.199
<v Speaker 7>take a drug but a nutraceutical, in this case a

0:18:45.280 --> 0:18:48.920
<v Speaker 7>tomato that's been cross spread to have high licopene, which

0:18:48.960 --> 0:18:52.840
<v Speaker 7>would have the same benefit of the statin. But it's natural.

0:18:53.480 --> 0:18:55.760
<v Speaker 7>So I think there's just going to be I'm just

0:18:55.840 --> 0:19:00.000
<v Speaker 7>kind of picturing two bookends of where and how ubiquitous

0:19:00.119 --> 0:19:04.359
<v Speaker 7>us The ability to be able to do things with

0:19:04.480 --> 0:19:07.879
<v Speaker 7>genetics and do it at a personalized level will really

0:19:07.920 --> 0:19:08.560
<v Speaker 7>impact us.

0:19:08.800 --> 0:19:10.280
<v Speaker 2>Hey, before we let you go, we only have about

0:19:10.280 --> 0:19:14.480
<v Speaker 2>forty five seconds left, but we have a viewer listener

0:19:14.480 --> 0:19:16.760
<v Speaker 2>getting in touch and curious about what you think on

0:19:17.280 --> 0:19:21.719
<v Speaker 2>about GLP ones. Given that over the last couple of years, Uh,

0:19:22.000 --> 0:19:25.000
<v Speaker 2>this is probably the medical technology that we've talked about

0:19:25.000 --> 0:19:25.439
<v Speaker 2>the most.

0:19:27.560 --> 0:19:30.600
<v Speaker 7>It is an interesting one. I'm looking forward to seeing

0:19:30.600 --> 0:19:34.119
<v Speaker 7>the large cohorts of patients on GLP one being sequenced

0:19:34.520 --> 0:19:37.560
<v Speaker 7>so we can really get that multiomic view and look

0:19:37.600 --> 0:19:40.320
<v Speaker 7>at the cause and effect and better understand the mode

0:19:40.359 --> 0:19:42.879
<v Speaker 7>of action which will be beneficial for everybody.

0:19:43.440 --> 0:19:45.760
<v Speaker 2>So you don't you see a lot you see learning.

0:19:45.800 --> 0:19:47.320
<v Speaker 2>We need to learn a lot more about them.

0:19:47.760 --> 0:19:50.879
<v Speaker 7>I think so we own it's a great start, but

0:19:51.040 --> 0:19:55.159
<v Speaker 7>there are already people talking about side effects and you know,

0:19:55.520 --> 0:19:58.280
<v Speaker 7>not being as impactful as it needs to be. And

0:19:58.480 --> 0:20:02.160
<v Speaker 7>understanding the biology source code of an individual who's taken

0:20:02.200 --> 0:20:06.879
<v Speaker 7>these medicines is where the future lies. That individualized, personalized

0:20:06.920 --> 0:20:10.359
<v Speaker 7>approach will be game changing well, and I think we

0:20:10.440 --> 0:20:11.640
<v Speaker 7>make GLPS more.

0:20:11.480 --> 0:20:16.520
<v Speaker 5>Efficient, interesting, fascinating conversation. I hope we can get you

0:20:16.600 --> 0:20:19.560
<v Speaker 5>back real soon, Doctor Gordon Senghera. He's co founder and

0:20:19.640 --> 0:20:22.760
<v Speaker 5>chief executive officer of Oxford Nanopore Technologies. As we said

0:20:22.760 --> 0:20:25.840
<v Speaker 5>in the London trade soaring about twenty five percent