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<v Speaker 1>Welcome to Farmer Talk Radio. This podcast is focused on

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<v Speaker 1>enverching clinical trials with patient reported outcomes, discussing best practices,

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<v Speaker 1>potential pitfalls, and new approaches from the twenty twenty five

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<v Speaker 1>Chief Medical Officer summ at three sixty. For more information,

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<v Speaker 1>I'm on the CMO Summit. Editorials, podcasts or webcasts, please

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<v Speaker 1>visit CMO three sixty dot org. Thank you enjoy the podcast.

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<v Speaker 2>So we'll start with some introductions and then get into

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<v Speaker 2>the heart of the discussion. I'm Barry Tico, I'm chief

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<v Speaker 2>Medical officer at Stoke Therapeutics, and we'll just go down

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<v Speaker 2>the line here. Everybody introduce themselves in their affiliations.

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<v Speaker 3>Hello everyone, My name is well Sam samble CeON, founder

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<v Speaker 3>of delve Health. We focus on patient engagement pros wearables

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<v Speaker 3>will probably have one of the more prominent set of

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<v Speaker 3>wearables for collecting patient outcomes.

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<v Speaker 2>Hi.

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<v Speaker 4>I'm Dave Vessels. I'm the chief medical officer of Signant Health.

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<v Speaker 4>We are a clinical endpoints company, so we focus on

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<v Speaker 4>patient reported outcomes. Clinical reported outcomes. We have about two

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<v Speaker 4>thousand employees, fifty of them are scientists and physicians, and

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<v Speaker 4>we will we help our clients to select the right

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<v Speaker 4>patient reported outcomes to implement them and then also to

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<v Speaker 4>make sure during the trial that the quality of the

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<v Speaker 4>data that you collect is of the highest standard that.

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<v Speaker 5>It can be.

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<v Speaker 6>Hi, good morning. My name is Natalie Agafonov. I'm chief

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<v Speaker 6>medical officer of company and Drivon. We are clinical stage

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<v Speaker 6>company phase two move into phase three dvincient therapy using

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<v Speaker 6>bond marrow derived missing humans themselves. Our focus is a

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<v Speaker 6>rare pediatric indications such as hyperplastic left heart syndrome and

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<v Speaker 6>also we're working with Alzheimer disease. Over twenty years in

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<v Speaker 6>clinical research, I develop really deep passion for the patient

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<v Speaker 6>reported outcome, for the patient voice to shape up clinical

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<v Speaker 6>outcome assessment. Very excited to have this conversation.

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<v Speaker 5>Thanks.

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<v Speaker 7>Hi. I'm Jason Sager.

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<v Speaker 8>I am the chief medical officer of Accent Therapeutics. We're

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<v Speaker 8>a small molecule clinical stage oncology company running two phase

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<v Speaker 8>one for a modifying protein enzymes inhibition and really looking

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<v Speaker 8>forward to deciding how to incorporate this in oncology because

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<v Speaker 8>it's always been a challenge to look at pros and

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<v Speaker 8>something that I think is getting more and more important

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<v Speaker 8>as we move forward.

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<v Speaker 2>Thank you everyone, So as Jason mentioned, PRO is becoming

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<v Speaker 2>more and more commonplace. And let me just get a

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<v Speaker 2>hands here of how many people have used the clinical

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<v Speaker 2>trial PRO in one of the article trials that they've designed. Yeah,

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<v Speaker 2>pretty much almost everyone.

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<v Speaker 7>I expected.

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<v Speaker 2>Now the question how many of used the PRO as

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<v Speaker 2>a primary endpoint.

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<v Speaker 7>In one of your trials?

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<v Speaker 2>Okay, so it's already pretty good that they're that many, because,

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<v Speaker 2>as we'll talk about, there are quite a few challenges

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<v Speaker 2>in you using pros in general, but as primary endpoints

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<v Speaker 2>they are especially challenging. But they're going to become more

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<v Speaker 2>and more needed, both from the regulatory perspective, where right

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<v Speaker 2>now probably about half of all trials have some PRO

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<v Speaker 2>and in Europe about half of all labels include some

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<v Speaker 2>PRO information. FDA is a little bit more reticent, so

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<v Speaker 2>recently only about twenty percent of labels actually are including

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<v Speaker 2>PRO information, but that's likely to change. We heard from

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<v Speaker 2>ken Getz this morning about how trials are becoming complicated

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<v Speaker 2>and their.

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<v Speaker 7>More and more endpoints.

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<v Speaker 2>Well, one of the main contributors to the additional endpoints

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<v Speaker 2>is likely many of you know, are the pros that

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<v Speaker 2>are being collected, but they're not even being collected for

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<v Speaker 2>regulatory purposes. They're they're becoming, I think, even more required

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<v Speaker 2>for payers, and that's part of why. So I'll tell

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<v Speaker 2>you we have a Phase three program for genetic form

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<v Speaker 2>of epilepsy called drave syndrome, and we have made our

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<v Speaker 2>trial quite complicated because we're including additional endpoints just for

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<v Speaker 2>the payers. One of them is a collection of the

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<v Speaker 2>impact of the disease on the family and the parents

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<v Speaker 2>work time, employment time. So I can tell you that

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<v Speaker 2>there is no regulatory agency that cares about that, but

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<v Speaker 2>the payers want to know how much time can this

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<v Speaker 2>person be full time employed and pay premiums? And we've

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<v Speaker 2>had to incorporate video is, we've had to incorporate EEGs,

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<v Speaker 2>there are quite a few other patient reported outcomes that

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<v Speaker 2>we've had to incorporate, especially for payers. So what I

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<v Speaker 2>like to do is have the panel members talk briefly

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<v Speaker 2>about one or two p r ohs that they've they've

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<v Speaker 2>focused on. And I know we're going to hear about wearables,

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<v Speaker 2>We're gonna hear about others that can give some advice

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<v Speaker 2>to this audience as to how best to incorporate p

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<v Speaker 2>rros into your clinical protocols.

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<v Speaker 3>Yes, I mean so pros and co as our core

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<v Speaker 3>capability for what we do. So we do we work

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<v Speaker 3>across multiple disease dates. On cology Alzheimer probably two of

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<v Speaker 3>the most sophisticated ones that we see. Compliance by far

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<v Speaker 3>is probably one of the biggest issues that everybody deals with,

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<v Speaker 3>especially if you're you know, well, really depends on how

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<v Speaker 3>often you want to collect that that diaries and the

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<v Speaker 3>p r os.

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<v Speaker 7>And one of the most.

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<v Speaker 3>Complex aspects that we see often is how many diaries

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<v Speaker 3>are you actually trying to collect on a daily basis

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<v Speaker 3>or on a weekly basis, you know, take bristle mile

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<v Speaker 3>stool for example, right, you're trying to get compliance how

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<v Speaker 3>many times the patient goes to the bathroom, especially in

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<v Speaker 3>an oncology trial. So some of those aspects are complex,

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<v Speaker 3>and one of the ways that we look at it

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<v Speaker 3>is more of every patient is different, right, every environment

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<v Speaker 3>and disease state is different. And even are you really

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<v Speaker 3>trying to push out three pros a day for oncology patients?

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<v Speaker 3>Cancer patients that go in for a treatment and go

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<v Speaker 3>home and they're really sick, and yet we're complaining that

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<v Speaker 3>compliance is really bad. So I think what we've seen

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<v Speaker 3>is what models can we incorporate to help ease the

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<v Speaker 3>patient burden, but also ease the site burden as well.

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<v Speaker 3>And that can be from whether it's from a protocol design,

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<v Speaker 3>whether it's from you know, patient engagement rules, et cetera.

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<v Speaker 4>So from our side, it really depends on the therapeutic area.

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<v Speaker 4>So if you look at at oncology for example, so

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<v Speaker 4>we see that, I'm gonna let me just step that back.

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<v Speaker 4>So one of the principles that I brought in earlier

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<v Speaker 4>in my career that I still believe is that you

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<v Speaker 4>need to make sure that you know what you're going

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<v Speaker 4>to measure and why you're measuring it. We spoke a

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<v Speaker 4>lot about the the earlier today about the complexity of

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<v Speaker 4>clinical trials. Your phase three trial is not the time

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<v Speaker 4>to test e pro You have to do it much

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<v Speaker 4>earlier because you don't want to learn anything new in

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<v Speaker 4>your phase three trials for that. For the rest of

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<v Speaker 4>it's it depends so much about the patient situation, It

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<v Speaker 4>depends about the environment that the patient is in, and

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<v Speaker 4>then also it depends on the disease area for that.

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<v Speaker 4>So it's it's something that we're going to have to

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<v Speaker 4>bring out more and more in the future. But let's

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<v Speaker 4>make sure that you just understand why you're doing it.

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<v Speaker 6>I actually have the same idea to initiate thinking about

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<v Speaker 6>the PRO as soon as possible and don't use phase

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<v Speaker 6>three as a validation study for the PURO. I think

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<v Speaker 6>we always have to be mindful that perro a very

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<v Speaker 6>important tool to understand patient voice, to understand fit for purpose. Also,

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<v Speaker 6>I think the biggest challenge is sometimes when you in

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<v Speaker 6>phase two to understand this disease area, and even with

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<v Speaker 6>the available tools, you can actually develop your PRO and

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<v Speaker 6>validate during the phase two and incorporate and phase three,

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<v Speaker 6>or in my experience, sometimes when you get to phase

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<v Speaker 6>three and you have this aha moment, it's a little

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<v Speaker 6>bit too late, and then you have to overcome this

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<v Speaker 6>regulatory hurtle and be creative how to overcome that.

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<v Speaker 8>Yeah, I mean in oncology, and I'm glad it's come

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<v Speaker 8>up already from my perspective.

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<v Speaker 7>You know, really things.

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<v Speaker 8>Are we're moving away as we develop these molecular targeted

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<v Speaker 8>precision medicines, especially the oral ones that are going to

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<v Speaker 8>be used on a day by day basis for months

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<v Speaker 8>at a time. You really need to move away from

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<v Speaker 8>the model of the traditional dose limiting toxicity where you

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<v Speaker 8>see in a cute dose it's reported to the doctor.

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<v Speaker 8>You get into like sort of how do those patients

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<v Speaker 8>feel on a chronic basis thing, and then there are

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<v Speaker 8>those and you already mentioned diarrhea. There's only a handful

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<v Speaker 8>of things, but fatigue, nausea, these things are not reported

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<v Speaker 8>well and they're not reported well in the paper versions

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<v Speaker 8>of the pros because of just you know, a lack

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<v Speaker 8>of timing and you know, if you only get to

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<v Speaker 8>see the patients once every three weeks, you're not going

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<v Speaker 8>to find those things out. And so getting a tool

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<v Speaker 8>into the patient's hands that you could be handheld on

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<v Speaker 8>a handheld device and making it so that they benefit

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<v Speaker 8>from using it with a report that comes to them

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<v Speaker 8>that they can then bring to the doctor to actually

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<v Speaker 8>ease the burden of that communication is something that we're

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<v Speaker 8>looking into and working with a company called represent with

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<v Speaker 8>a puro in there and to see if we can

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<v Speaker 8>actually optimize that patient reporting from the get go. Just

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<v Speaker 8>so you know, in oncology we now have to deal

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<v Speaker 8>with project optimists and it's a huge question of how

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<v Speaker 8>are you going to choose that second dose? And I

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<v Speaker 8>won't get into that but I would love to see

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<v Speaker 8>pros start to enable some of that decision process in

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<v Speaker 8>a smart way.

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<v Speaker 4>Yeah, it's interesting. We actually just published a paper on

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<v Speaker 4>that exact idea. So and what we did is we

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<v Speaker 4>postialized and this was together with industry we published it,

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<v Speaker 4>and we postialize that that you actually miss a lot

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<v Speaker 4>of the adverss event if you don't do it as

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<v Speaker 4>part of a ePRO, and your dough selection becomes a

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<v Speaker 4>problem later on. And if you look at the phase

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<v Speaker 4>three trials, the majority if your phase three trials, you

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<v Speaker 4>start it off and then you have to reduce the

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<v Speaker 4>dose afterwards, and that's a huge cost burden to the

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<v Speaker 4>trial that you have to put through, administrative burden for

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<v Speaker 4>protocol amendments and safety reports, all these kind of things.

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<v Speaker 4>So yeah, it's definitely there, and we bring your own

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<v Speaker 4>devices the way that you can design e pros. It

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<v Speaker 4>makes it really very easy for the patient to collect

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<v Speaker 4>that data.

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<v Speaker 2>So this is an important discussion the difference between paper

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<v Speaker 2>and the e pros. And I'll tell you running an

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<v Speaker 2>epilepsy trial, we collect daily seizure record from the families

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<v Speaker 2>and this is a method that's been used now for

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<v Speaker 2>decades we're still using paper. I just got a copy

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<v Speaker 2>of the binder that the families are going to take

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<v Speaker 2>paper home with and record every day, and it really

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<v Speaker 2>disappoints me that that's actually the way we're going. But

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<v Speaker 2>I tell you that we spent months and months trying

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<v Speaker 2>to figure out how do we use an electronic diary.

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<v Speaker 2>Do we give the family a device, do we make

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<v Speaker 2>the family use their own device, what's the cost, the

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<v Speaker 2>time for startup, and then all the regulatory requirements because

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<v Speaker 2>that's an issue around the differences between what the FDA wants,

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<v Speaker 2>EMA wants in terms of collected collection device. And then

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<v Speaker 2>on top of it, one of the regulatory agencies wanted

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<v Speaker 2>a paper copy to verify what we're collecting on the

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<v Speaker 2>phones from the family. So after all that, we ended

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<v Speaker 2>up with paper. But I'd like to hear a little

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<v Speaker 2>bit from the panel on thoughts about trying to move

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<v Speaker 2>us more into the electronic age as we go forward

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<v Speaker 2>with our trials.

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<v Speaker 3>Yeah, I've seen I think the first time that I

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<v Speaker 3>saw a paper diary was back in twenty ten and

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<v Speaker 3>it was an Alzheimer's study and it was interesting because

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<v Speaker 3>I was managing a study for a larger company and

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<v Speaker 3>as you talked to the investigator, they're talking about you know,

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<v Speaker 3>they were actually explaining the situation.

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<v Speaker 7>They're like, hey, I'm sitting here with this patient.

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<v Speaker 3>And it was a patient and their caregiver and asked

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<v Speaker 3>me like, hey, how was your pain like two days

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<v Speaker 3>ago or something like that, and he's like it was

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<v Speaker 3>a seven and then the caregivers like, are you sure

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<v Speaker 3>it sounded more like a nine? Right, So it was

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<v Speaker 3>like it was one of those initially interaction and then

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<v Speaker 3>twenty sixteen, actually I started del because my mom had

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<v Speaker 3>cancer and she was part of a study.

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<v Speaker 7>And you know, like we go to Mayo Clinic.

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<v Speaker 3>And they're like, oh my god, I didn't fill out

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<v Speaker 3>all these pros. Right, So you said there in the

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<v Speaker 3>parking lot filling out all the pros. But now, like

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<v Speaker 3>we pass forward to kind of where we are today,

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<v Speaker 3>we want more of that real time aspect what really

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<v Speaker 3>happened to you. And that's the reason why a lot

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<v Speaker 3>of prs are like a diary needs to be responded

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<v Speaker 3>to within twenty four hours, maybe forty eight hours of max.

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<v Speaker 7>Right of course, depending on the diary.

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<v Speaker 3>And I think we're really seeing that, we're seeing the change,

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<v Speaker 3>we're seeing the results, and what we're seeing from our

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<v Speaker 3>perspective is how do we design the pros and make

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<v Speaker 3>sure that if we're doing pr if we're doing BYOD,

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<v Speaker 3>for example, we need to make sure that every single

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<v Speaker 3>device that a patient's gonna pull up is going to

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<v Speaker 3>look exactly the same in every single device. And that's

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<v Speaker 3>you know, that's one of the you know, probably the

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<v Speaker 3>biggest things that we've seen from regulatory agencies. So how

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<v Speaker 3>do we make sure that we identify the pros design

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<v Speaker 3>and make sure that they look exactly the same. But

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<v Speaker 3>patient engagement also like a huge component as part of this.

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<v Speaker 3>If we're really worried about compliance, we got to think

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<v Speaker 3>that it's not just like a website that you're going

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<v Speaker 3>to give to somebody, right, how are you going to

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<v Speaker 3>nudge their make sure that they're aware, hey, you've got

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<v Speaker 3>a pr O that's ready for you, or how do

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<v Speaker 3>you nudge maybe like a caregiver and maybe that network

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<v Speaker 3>of people around them. So technology is here, I think

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<v Speaker 3>it's how can we really utilize it better in today's

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<v Speaker 3>agent world?

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<v Speaker 4>Ye, So we've been working with the Epilepsy Consortium on

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<v Speaker 4>exactly developing that epilepsy diary. So we understand the challenges

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<v Speaker 4>of it, but I mean there's and it sounds obvious

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<v Speaker 4>coming from a ePRO, so it's a vendor. But there's

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<v Speaker 4>already there's a lot of studies out there. There's a

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<v Speaker 4>study that's quite old, I think it's more than fifteen

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<v Speaker 4>years old, where it was quite eloquently designed. It was

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<v Speaker 4>a paper diary. It was giving two hundred patients and

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<v Speaker 4>they were told to complete it. But that wasn't the

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<v Speaker 4>real study. The real study was there was a chip

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<v Speaker 4>at each page and you can actually see when they

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<v Speaker 4>open it and complete it. And something like eight percent

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<v Speaker 4>of the patients finished the diary before the month, so

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<v Speaker 4>they were just proactively writing out what they're going to do.

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<v Speaker 4>The majority of the patients actually did it in the

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<v Speaker 4>parking lot while they were waiting to come back, so

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<v Speaker 4>you could see it all those dates times. So the

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<v Speaker 4>challenge with paper, unfortunately is that we see that people

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<v Speaker 4>don't I mean, people have busy lives, they forget to

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<v Speaker 4>do this, and so that's one part of it. The

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<v Speaker 4>other thing that we also see is that if you

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<v Speaker 4>use electronic diaries, for example, you can identify abnormal patterns

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<v Speaker 4>on when the data gets completed. And you can identify

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<v Speaker 4>some sites that completes the data at very different times

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<v Speaker 4>than the rest of their sites as well, and it's

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<v Speaker 4>something that we don't talk a lot about, but it

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<v Speaker 4>is out there. Clinical trials is expensive, there's a lot

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<v Speaker 4>of money in there, and there is still fraud that's

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<v Speaker 4>happening there. But basically coming back to the epilepsy part,

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<v Speaker 4>so our approach is to work worth a consult with

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<v Speaker 4>the epilepsy consort, Tium or the epilepsy group and just

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<v Speaker 4>work through all these processes with regards to timelines, setups

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<v Speaker 4>and so on. AI has really made a difference in

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<v Speaker 4>that and where we see the biggest the biggest difference

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<v Speaker 4>is actually in the user testing because you can now

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<v Speaker 4>do in a few minutes, you can do ten thousand

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<v Speaker 4>tests and then you can identify exactly where the problems

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<v Speaker 4>are and fix it very accurately. So it improves your

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<v Speaker 4>quality and you don't have to get any programming down

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<v Speaker 4>to one day or something like that. You just need

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<v Speaker 4>to get it off your critical path and that's already

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<v Speaker 4>been done. So there's a huge movement with that in

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<v Speaker 4>the last year and you'll see more and more of that.

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<v Speaker 6>Yeah, it's very challenging and and as you, I would

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<v Speaker 6>just want to emphasize the al Zeimer disease especially. It's

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<v Speaker 6>very surprising to me that not only patients but also

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<v Speaker 6>caregivers have difficulties to work with electronic data. But I

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<v Speaker 6>know we have issues and problems. I want to bring

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<v Speaker 6>fresh idea. If it's if I made that we have

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<v Speaker 6>AI people in a room. A couple of days ago,

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<v Speaker 6>I just visited MIT Museum and there is an amazing

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<v Speaker 6>tool predict whether or not you have opportunity to have

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<v Speaker 6>Parkinson disease based on how you type, how many letters

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<v Speaker 6>you miss. I think in the future, it just brought

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<v Speaker 6>just idea came to my mind. We can actually use

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<v Speaker 6>difficulties for patient to complete data electronically and predict their

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<v Speaker 6>severity based on how patient type. So it's just an idea,

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<v Speaker 6>let's do it.

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<v Speaker 8>So the way I've been trying to get at this

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<v Speaker 8>is when we had discussions because obviously your safety in

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<v Speaker 8>phase one for oncology is the primary goal, and yet

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<v Speaker 8>it's very tightly regulated, and so that's where you know

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<v Speaker 8>there's a lot of questions, Well, what if the pro

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<v Speaker 8>database doesn't match your hospital database, what's the after you're

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<v Speaker 8>going to say to us, and all these sorts of things.

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<v Speaker 8>At the end of the day, what it came down

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<v Speaker 8>for us is to basically slip it into an exploratory

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<v Speaker 8>endpoint in phase one. I think in sort of in

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<v Speaker 8>honor of don't wait until phase three, let's learn about

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<v Speaker 8>what the signal is, but let's do it in a

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<v Speaker 8>way that's more flexible, where we have the opportunity to

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<v Speaker 8>do an pro such that once it's validated and you

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<v Speaker 8>start to get that data, you can then escalate it

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<v Speaker 8>as you go through so that by the time you're

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<v Speaker 8>in phase three, you can make it a primary endpoint

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<v Speaker 8>or something that is akin to something that's going to

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<v Speaker 8>get into your label.

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<v Speaker 7>One of ken.

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<v Speaker 2>Gets his favorites the exploratory endpoints, right. It's complexifying exactly,

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<v Speaker 2>and well, I'd like to turn a little bit two

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<v Speaker 2>wearables now and just where you as panel members see

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<v Speaker 2>from those of you who've had experience with wearables, how

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<v Speaker 2>are we going to be able to incorporate those? Are

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<v Speaker 2>those going to be used more and more or are

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<v Speaker 2>they too complex for us to utilize at this point,

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<v Speaker 2>especially when you consider the number of data points that

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<v Speaker 2>was talked about before. One wearable one heart monitor can

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<v Speaker 2>generate five million data points in a day. So when

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<v Speaker 2>you're thinking about data complexity and the data we need

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<v Speaker 2>to collect, how are we going to start using wearables

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<v Speaker 2>efficiently in our studies?

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<v Speaker 3>So we live and breede wearables almost every single day,

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<v Speaker 3>you know, we've got we have had studies that do

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<v Speaker 3>as much as five wearables on the same patient, and

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<v Speaker 3>we've had as little as one. I think the time

356
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<v Speaker 3>is coming for wearables. We're definitely seeing that wearable data

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<v Speaker 3>can enhance pr O data. Right, it's all part of

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<v Speaker 3>patient outcomes. Right, you've got the pr O data here's

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<v Speaker 3>how I feel. Then you've got the wearable data that

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<v Speaker 3>tells us here's what really happened at home. There's been

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<v Speaker 3>a couple of studies, probably a few studies that have

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<v Speaker 3>used wearables as a primary endpoint. I don't think it's

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<v Speaker 3>not I don't think it is for every study, at

364
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<v Speaker 3>least not yet, but they're here. If you're considering it,

365
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<v Speaker 3>I'll probably go back to the same mentality as use

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<v Speaker 3>it on a phase one or a phase two, so

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<v Speaker 3>that way you understand how wearables work in your clinical

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<v Speaker 3>trial and think at the end of mind, Right, what

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<v Speaker 3>exactly are you trying to understand is it their movement,

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<v Speaker 3>is it their sleep patterns or you know, And you

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<v Speaker 3>have to think about it as patterns over time rather

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<v Speaker 3>than just one data point for a day.

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<v Speaker 7>Right.

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<v Speaker 3>So it's a different mentality, different mind shift from the

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<v Speaker 3>PR data. I think it's but I think it's coming.

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<v Speaker 3>We're seeing definitely a lot more interests in almost every

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<v Speaker 3>single disease state.

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<v Speaker 4>Yeah, I think that's very very valid. We're learning a

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<v Speaker 4>lot st all about wearables. Were currently just starting a

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<v Speaker 4>study with Lead University where we are looking at wearables

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<v Speaker 4>e pros and then also some of the hard biomarkers

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<v Speaker 4>genetic testing, et cetera in elderly patients with cordiovascular disease

383
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<v Speaker 4>and diabetes. And there's some glucose monitors, etc. And then

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<v Speaker 4>heart monitors. It's a lot of data and again you

385
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<v Speaker 4>need to understand why are you doing that? And then

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<v Speaker 4>secondly you just have to think about the practical part

387
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<v Speaker 4>of it is how are these patients going to remember

388
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<v Speaker 4>to charge the device, how are they going to wear

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<v Speaker 4>the device every day? How are they going to forget

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<v Speaker 4>about the device? And all those questions. You have to

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<v Speaker 4>sit down and really think about it before you come

392
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<v Speaker 4>up with yeah, I'm going to implement this on my

393
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<v Speaker 4>study or not. It's otherwise it just becomes another shiny

394
00:23:46.319 --> 00:23:49.440
<v Speaker 4>tool and then we end up with massive amount of

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<v Speaker 4>data that we don't know what to do with.

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<v Speaker 6>So I see this as a future, and especially working

397
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<v Speaker 6>with pediatric rare diseases. One all of our pros basically

398
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<v Speaker 6>come from parents the infants.

399
00:24:06.039 --> 00:24:07.160
<v Speaker 7>We inject.

400
00:24:08.359 --> 00:24:12.480
<v Speaker 6>Cells during the second stage sogery when the infants are

401
00:24:12.519 --> 00:24:16.519
<v Speaker 6>four month old, and using right vigicle ejection fraction as

402
00:24:16.559 --> 00:24:21.440
<v Speaker 6>a primary endpoint. But there are biases and evaluation based

403
00:24:21.440 --> 00:24:29.240
<v Speaker 6>on evaluator assessment, etc. So and the way parents describe milestones.

404
00:24:28.480 --> 00:24:29.039
<v Speaker 7>Et cetera.

405
00:24:29.640 --> 00:24:33.279
<v Speaker 6>This is all we have right now. So I'm actually

406
00:24:33.359 --> 00:24:37.440
<v Speaker 6>right now designing new clinical trial thinking about how we

407
00:24:37.480 --> 00:24:44.279
<v Speaker 6>can use wearables in this tiny patient population, how they move,

408
00:24:45.200 --> 00:24:49.720
<v Speaker 6>how they breathe, what they do. But again, I think

409
00:24:50.400 --> 00:24:53.680
<v Speaker 6>more work needs to be done because I'm always nervous

410
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<v Speaker 6>when I get a lot of data. It's not just

411
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<v Speaker 6>getting data, it's exactly what question you ask, what data

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<v Speaker 6>do you want to receive, and how you're going to

413
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<v Speaker 6>analyze it and why you're using this. But I see

414
00:25:07.920 --> 00:25:12.319
<v Speaker 6>this as a big future, especially for rare disease indications

415
00:25:12.599 --> 00:25:14.920
<v Speaker 6>patient cannot express themselves.

416
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<v Speaker 8>I'm interested in actually surveying the audience on this because

417
00:25:21.039 --> 00:25:23.480
<v Speaker 8>how you know that like almost everyone raise their hand

418
00:25:23.480 --> 00:25:26.000
<v Speaker 8>when you ask about the pros, But how about for wearables?

419
00:25:26.400 --> 00:25:30.839
<v Speaker 8>Anyone integrate that into your protocols? Okay, and then keep

420
00:25:30.880 --> 00:25:36.160
<v Speaker 8>your hands up if it was in an oncology protocol. Yeah,

421
00:25:36.240 --> 00:25:40.160
<v Speaker 8>that's what I kind of thought. So no respondents, just

422
00:25:40.200 --> 00:25:42.920
<v Speaker 8>a bed a couple, Yeah, maybe one in the back.

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<v Speaker 7>I'll talk to you later.

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<v Speaker 8>But you know, I think that it's been a challenge,

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<v Speaker 8>and especially for the elderly population, all the technical aspects

426
00:25:51.720 --> 00:25:54.240
<v Speaker 8>that you mentioned, and I just haven't seen it get

427
00:25:54.240 --> 00:25:56.759
<v Speaker 8>there yet. I'm hoping that kind of maybe the phone

428
00:25:56.759 --> 00:25:59.720
<v Speaker 8>itself becomes the wearable, that that's the thing that's most

429
00:26:00.039 --> 00:26:03.119
<v Speaker 8>attached to them, that they're keeping charge for whatever reason,

430
00:26:03.160 --> 00:26:05.519
<v Speaker 8>and therefore we can get more information out of it.

431
00:26:05.720 --> 00:26:08.839
<v Speaker 4>Yeah, And actually that's one of the points that we're

432
00:26:08.839 --> 00:26:11.240
<v Speaker 4>going to measure in the study with leads, is whether

433
00:26:11.279 --> 00:26:13.400
<v Speaker 4>you have a smartphone or not, whether that has an

434
00:26:13.400 --> 00:26:18.559
<v Speaker 4>outcome on your and positive or negative outcome on your life.

435
00:26:19.119 --> 00:26:23.839
<v Speaker 4>As an endpoint around that, so yeah, great.

436
00:26:23.880 --> 00:26:24.119
<v Speaker 5>Thanks.

437
00:26:24.119 --> 00:26:26.640
<v Speaker 2>Well, we have some time for some questions from the audience,

438
00:26:27.200 --> 00:26:29.720
<v Speaker 2>so if you want to step up to the mic

439
00:26:29.759 --> 00:26:33.519
<v Speaker 2>any of you see someone walking up here, we'll take

440
00:26:33.559 --> 00:26:34.359
<v Speaker 2>your question first.

441
00:26:35.759 --> 00:26:38.200
<v Speaker 9>People are CMO I want to treat so thank you,

442
00:26:38.359 --> 00:26:40.519
<v Speaker 9>Thank you very much for these I would say, very

443
00:26:40.559 --> 00:26:45.440
<v Speaker 9>inspiring panel discussion. I was convinced before the penal discussion

444
00:26:45.519 --> 00:26:50.519
<v Speaker 9>of the importance of PIERO, but even more convinced. And

445
00:26:50.599 --> 00:26:56.880
<v Speaker 9>I do agree that understanding patient perspective is challenging, and

446
00:26:56.960 --> 00:27:00.799
<v Speaker 9>I do agree that Piers can really help. Now my

447
00:27:00.960 --> 00:27:05.039
<v Speaker 9>question is, oh, my next challenge is a following, how

448
00:27:05.039 --> 00:27:10.640
<v Speaker 9>can we do even better than understanding but considering the

449
00:27:10.720 --> 00:27:15.319
<v Speaker 9>patient perspective into the clinical trial design? And I would say,

450
00:27:15.359 --> 00:27:18.839
<v Speaker 9>not on the secondarian points, but really in the heart

451
00:27:19.359 --> 00:27:21.680
<v Speaker 9>of the design of the new studies. I think this

452
00:27:21.839 --> 00:27:24.400
<v Speaker 9>is probably the next challenge. I'd like to get your

453
00:27:24.440 --> 00:27:26.440
<v Speaker 9>opinion on this one.

454
00:27:27.880 --> 00:27:30.480
<v Speaker 4>You want to do Yeah, yeah, I can. I can

455
00:27:31.240 --> 00:27:33.759
<v Speaker 4>try that one. I think it's so important, especially on

456
00:27:34.279 --> 00:27:39.519
<v Speaker 4>rare diseases. Actually to really make your selection of what

457
00:27:40.559 --> 00:27:44.119
<v Speaker 4>clendros or E pros or pros you're going to choose,

458
00:27:45.000 --> 00:27:47.759
<v Speaker 4>spend a lot of time on focusing on that because

459
00:27:47.799 --> 00:27:52.599
<v Speaker 4>these patients have such tough diseases and such tough lives

460
00:27:52.759 --> 00:27:57.720
<v Speaker 4>and there the care takers are exhausted all these kind

461
00:27:57.720 --> 00:28:02.079
<v Speaker 4>of things, you have to be very practical in doing so. Again,

462
00:28:02.160 --> 00:28:07.000
<v Speaker 4>it sounds repetitive and boring, but it's it really depends

463
00:28:07.000 --> 00:28:10.960
<v Speaker 4>on your disease. It really depends on the situation and

464
00:28:11.000 --> 00:28:13.160
<v Speaker 4>what do you want to get from it. So that's

465
00:28:13.200 --> 00:28:16.960
<v Speaker 4>why I would say spend as much time thinking about

466
00:28:17.000 --> 00:28:19.920
<v Speaker 4>it and finding out why you want a certain pro

467
00:28:20.519 --> 00:28:22.160
<v Speaker 4>as implementing it.

468
00:28:24.319 --> 00:28:26.519
<v Speaker 3>Sor And when I think we've done in the past,

469
00:28:26.559 --> 00:28:30.720
<v Speaker 3>we've done you know, smaller like patient surveys and we're

470
00:28:30.720 --> 00:28:33.359
<v Speaker 3>actually we contractor with a third party say like hey,

471
00:28:33.799 --> 00:28:37.200
<v Speaker 3>can you interview maybe like five or ten patient population

472
00:28:37.400 --> 00:28:40.519
<v Speaker 3>from within the specific disease and kind of walk them

473
00:28:40.559 --> 00:28:42.559
<v Speaker 3>through what we're going to do and give us that feedback.

474
00:28:42.920 --> 00:28:45.319
<v Speaker 3>And that's been like amazingly helpful. So if this is

475
00:28:45.359 --> 00:28:48.680
<v Speaker 3>something that really kind of top of mind, something i'd recommend.

476
00:28:49.680 --> 00:28:52.240
<v Speaker 2>Yeah, I recommend it too as well, you know the

477
00:28:52.319 --> 00:28:53.200
<v Speaker 2>question of back here.

478
00:28:53.720 --> 00:28:55.279
<v Speaker 10>Yeah, thank you guys so much for the information.

479
00:28:55.319 --> 00:28:56.000
<v Speaker 7>I appreciate it.

480
00:28:56.039 --> 00:28:58.400
<v Speaker 10>And your collective experience is where have you seen the

481
00:28:58.400 --> 00:29:02.240
<v Speaker 10>best practices of real world evidence being leveraged to show

482
00:29:02.319 --> 00:29:05.759
<v Speaker 10>investors the value of the data that you're getting as

483
00:29:05.759 --> 00:29:07.680
<v Speaker 10>it's happening before it goes to market. You know, one

484
00:29:07.720 --> 00:29:09.960
<v Speaker 10>of the things that is key now with capital strap

485
00:29:10.000 --> 00:29:11.960
<v Speaker 10>markets is figuring out how you can say their phase

486
00:29:12.000 --> 00:29:14.319
<v Speaker 10>one top line is going to show value for the

487
00:29:14.359 --> 00:29:17.440
<v Speaker 10>future when it could get to a registrational pathway. Are

488
00:29:17.440 --> 00:29:19.359
<v Speaker 10>there ways that you all have seen railword evidence being

489
00:29:19.400 --> 00:29:23.920
<v Speaker 10>brought into that into maybe combination studies or different programs

490
00:29:23.960 --> 00:29:26.599
<v Speaker 10>where you've had access to the information to help assist

491
00:29:26.599 --> 00:29:27.880
<v Speaker 10>with your protocols.

492
00:29:29.799 --> 00:29:34.480
<v Speaker 8>Maybe I can't, so I'll answer very quickly and then share.

493
00:29:35.440 --> 00:29:40.039
<v Speaker 8>You know, recently Astrozenica presented their part one selective inhibitor. Now,

494
00:29:40.119 --> 00:29:42.720
<v Speaker 8>obviously they had the wherewithal to be able to do

495
00:29:42.799 --> 00:29:45.119
<v Speaker 8>three doses and so, but you know, they had some

496
00:29:45.160 --> 00:29:47.440
<v Speaker 8>really nice data where they showed that the efficacy of

497
00:29:47.480 --> 00:29:49.519
<v Speaker 8>the top two doses were the same, but you had

498
00:29:49.559 --> 00:29:53.880
<v Speaker 8>a lot less nausea with the second lower dose. Unfortunately,

499
00:29:53.880 --> 00:29:56.359
<v Speaker 8>for biotech where we are limited to two doses, I

500
00:29:56.359 --> 00:29:58.319
<v Speaker 8>think it's still going to remain a challenge. But that's

501
00:29:58.359 --> 00:30:00.680
<v Speaker 8>where I've seen this data lay out in a way

502
00:30:00.720 --> 00:30:01.960
<v Speaker 8>that I think would be very powerful.

503
00:30:04.000 --> 00:30:06.960
<v Speaker 6>Thanks for the question. I think actually real world davidence

504
00:30:07.079 --> 00:30:10.559
<v Speaker 6>is becoming a part of our lives right now. You

505
00:30:10.599 --> 00:30:16.359
<v Speaker 6>can use syneatic arms using real patient data on publicly

506
00:30:16.400 --> 00:30:21.200
<v Speaker 6>available domain. For example, there is a single Vincicola trial

507
00:30:21.920 --> 00:30:27.480
<v Speaker 6>with twenty years worth of data an Alzheimer's disease near abnormalities.

508
00:30:27.559 --> 00:30:30.799
<v Speaker 6>You can use this data as a synthetic arm to

509
00:30:31.720 --> 00:30:34.200
<v Speaker 6>kind of compliment your clinical trials. So you can do

510
00:30:34.319 --> 00:30:39.160
<v Speaker 6>open label trial and complimenting this with the synthetic arm

511
00:30:39.279 --> 00:30:42.039
<v Speaker 6>and present to the a FD. And they're really really

512
00:30:42.640 --> 00:30:46.359
<v Speaker 6>accepting this idea right now. It's it's really hot right now.

513
00:30:47.920 --> 00:30:51.720
<v Speaker 2>Time for one more question here, sorry, thank you very much.

514
00:30:52.640 --> 00:30:55.599
<v Speaker 5>So Anil Dargent, Dunny Edward Genomics and we're running an

515
00:30:55.799 --> 00:30:58.720
<v Speaker 5>LS study with a weariable remote monitoring as well as

516
00:30:58.759 --> 00:31:02.440
<v Speaker 5>pros in there. Just a question for the audience what

517
00:31:02.559 --> 00:31:05.880
<v Speaker 5>kind of correlations have you seen between pros, whether it's

518
00:31:05.920 --> 00:31:10.000
<v Speaker 5>ePRO or paper versus what has been collected by remote

519
00:31:10.039 --> 00:31:13.519
<v Speaker 5>monitoring or wearables? Is it one to one when they

520
00:31:13.599 --> 00:31:16.559
<v Speaker 5>say the patients say I walked two times a day,

521
00:31:16.920 --> 00:31:19.319
<v Speaker 5>did the wearable also show that same data? Or is

522
00:31:19.359 --> 00:31:20.319
<v Speaker 5>it not correlated.

523
00:31:21.559 --> 00:31:23.720
<v Speaker 3>I don't know that there's ever really a true one

524
00:31:23.759 --> 00:31:26.119
<v Speaker 3>to one, to be honest with you, because when we

525
00:31:26.200 --> 00:31:30.240
<v Speaker 3>look at this Steffa, so correlation between pros and wearables

526
00:31:30.559 --> 00:31:32.839
<v Speaker 3>is definitely core part of this, right, But as you

527
00:31:32.880 --> 00:31:35.160
<v Speaker 3>look at the wearable data, we need to look at

528
00:31:35.200 --> 00:31:37.240
<v Speaker 3>trends where it happened, right. So for example, if you've

529
00:31:37.240 --> 00:31:40.759
<v Speaker 3>got the pro that asked, you know, how many miles

530
00:31:40.759 --> 00:31:41.720
<v Speaker 3>did you walk yesterday?

531
00:31:41.720 --> 00:31:44.519
<v Speaker 7>And they said one? Did you really? You know? So

532
00:31:44.559 --> 00:31:46.559
<v Speaker 7>that's kind of what the wearable would really show.

533
00:31:47.440 --> 00:31:51.519
<v Speaker 4>Yeah, I think it's it's important to understand what the

534
00:31:51.599 --> 00:31:55.880
<v Speaker 4>patient's going to gain from that answering that question. So

535
00:31:56.039 --> 00:31:58.400
<v Speaker 4>one of the things that we focus on a lot

536
00:31:58.519 --> 00:32:01.640
<v Speaker 4>is training and PA see mitigation training as well, and

537
00:32:01.640 --> 00:32:03.960
<v Speaker 4>this falls into that part. If the patient's going to

538
00:32:04.039 --> 00:32:09.000
<v Speaker 4>gain something by lying, then they'll lie thinking that is it?

539
00:32:09.559 --> 00:32:12.960
<v Speaker 7>So thank you very good.

540
00:32:13.000 --> 00:32:15.319
<v Speaker 2>Well we're all set here, so i'd like to think

541
00:32:15.319 --> 00:32:19.119
<v Speaker 2>again the panel and thank you all for your attention.

542
00:32:19.680 --> 00:32:20.720
<v Speaker 2>Thank you, thank it.

543
00:32:26.759 --> 00:32:29.480
<v Speaker 1>We hope you enjoyed the podcast. For more information about

544
00:32:29.480 --> 00:32:33.799
<v Speaker 1>the CMOS Summit three sixty, editorials, podcasts, or webcasts, please

545
00:32:33.920 --> 00:32:36.799
<v Speaker 1>visit CMO three sixty dot org. Thanks for listening.
