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[narrator]
On "Tomorrow's World Today,"
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we explore
the cutting-edge advances
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that are shaping
four different worlds --
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the world of inspiration,
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where the wonders
of the natural world
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amaze and inspire us.
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The world of creation,
where ideas come to life
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from traditional arts.
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The world of innovation,
where ideas and inventions
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move us all forward.
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The world of production,
where innovations
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are mass produced
to improve our lives.
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From Inventionland
World Headquarters,
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here's your host,
George Davison.
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Ready to jump into a world
where tomorrow's tech
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is today's reality?
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Welcome to
"Tomorrow's World Today."
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Around 5,000 years ago,
humans began experimenting
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with plants and minerals,
discovering and testing
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early drugs,
such as willow bark
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to alleviate headache pain.
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You know, back then,
trying to relieve a headache
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meant chugging
a murky mixture of willow bark.
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Then in the 1800s, alchemists
began conducting experiments
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probably because they
noticed side effects.
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They must have been convinced
that there had to be
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a better way than creating
mysterious mixtures
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with no consistent promise that
it's gonna work for everyone.
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Now, eventually, they began
lab testing to extract pure,
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safe compounds and developed
consistent recipes
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that could be produced,
along with a warning
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to some people who might have
a bad reaction to that medicine.
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Now, of course, back then,
there wasn't some
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large bank of human data,
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so the results were,
at best, chaotic.
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So, let's fast forward
to today.
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We have warning labels
on the back of all
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of our prescription bottles.
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For example,
a label may tell us that
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we should take a medicine with
food or maybe not take it at all
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if you were pregnant.
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Lab testing helps to make sure
that the medicines that we take
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are safe today, especially
when a specific medicine is
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going to go out
and scale on a national
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or international level.
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You've got to go out
and collect and test
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all sorts of samples from around
the world in a timely manner,
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and then analyze all this data
to validate this new medicine.
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Can you imagine the complexity
of doing all that?
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Now, I've heard that a global
lab testing network system
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has been invented,
and I'm intrigued.
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So, I'm gonna send Greg
to the world of innovation
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to explore it.
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[Greg]
At any one time, there are
thousands of clinical trials
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being conducted
around the world, resulting
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in tens of thousands of samples.
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Now, all of those samples
have to be collected,
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transported,
processed, analyzed,
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and cataloged correctly.
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And that's why we're
here at LabConnect
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in Johnson City, Tennessee.
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We're gonna meet with Chief
Executive Officer Wes Wheeler
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and his team of experts
to discuss innovative solutions
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to these challenges and more
today and in tomorrow's world.
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-Hi, Wes.
-Hey, Greg.
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-Welcome to LabConnect.
-Thank you very much.
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I'm super excited
to find out about everything
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that you do here.
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Let's kind of get
an overall idea, though,
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of what it is that LabConnect
is all about.
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You are a vital part of
the drug development process.
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Tell me about that.
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Well, drugs are developed
over a period of about 10
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to 12 years, and there's
a drug discovery portion,
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there's a drug development
portion, and then there's
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a drug launch,
approval and launch.
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We fit in the middle of that.
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LabConnect is a provider
of central lab services.
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We work for our clients.
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Once the patients are
recruited, we are able to bring
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lab kits to the patients' home
or to the patients' clinic
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and take the blood, bring
the blood back to the lab.
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The labs are local, typically.
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We will test the data
from the blood,
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and then we bring the data
back to a central location
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and deliver it to our clients.
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Now, operating labs
like that around the country
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or around the world, that can be
a really expensive proposition.
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How do you handle that?
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We have decided, because of
the way drug development
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is done now, patients
from around the world
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are required for clinical trials
and for filing.
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So we have to find labs
around the world that are local
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because the blood has to find
its way to a testing lab
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within a certain amount
of hours, 24 to 48 hours.
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So we find local labs
around the world that are close
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to the patients, and then
we can bring the data back
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to a central location
back here, for example,
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collect the data for
the delivery to the client.
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OK, great, well, I'd love
to learn more about that.
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Yeah, let's talk
about that now.
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Wes, you mentioned
that you have laboratories
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all around the world.
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How do you find
these labs to work with?
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It starts with a protocol.
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Our client will tell us
exactly where the patients
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have to come from.
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That varies from protocol to
protocol, from trial to trial.
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So we will aggregate
a lot of that information
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and start to decide
what regions of the world
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we have to have labs in.
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Over the years, all the trials
we've done, we now know
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the clusters are
where the patients typically
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will come from for
a global trial.
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So we have, based on that data,
selected seven regions
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of the world, for example,
Australia, Europe, of course,
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North Asia, the US,
Latin America.
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The labs are selected
to be close to the patients,
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close to the clinics,
so that we make sure we get
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those samples back
to the lab within 48 hours.
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[Greg] Well, how can you
be sure that those labs
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that you're working with
all around the world are
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following the protocols
that LabConnect needs
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in order to make sure
those samples
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are collected the right way?
-No, it's a great question.
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I think you have to realize
every lab is different.
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They're all owned by different
people and different companies.
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They have different equipment.
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We have to make sure
that the equipment,
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even if the equipment's
not exactly the same,
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that the test is done
the same way, that we can,
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the assay,
which is what we call it,
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is done in a consistent
manner so that the data
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is collected in a very
consistent way,
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that the parameters,
the data output,
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the data format comes to us
in a certain way that we can
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harmonize the data
for our clients.
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Well, this seems like a fairly
large logistical undertaking,
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and I know that you have
a nimble approach.
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Tell me more about that.
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Patients could be
anywhere in the world.
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We're collecting
their blood or their urine
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or some biospecimen.
It could be a tumor cell.
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It could be a biopsy.
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That data, that sample has to
get to the lab within 48 hours.
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We have to be nimble enough
to be able to be at the location
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where the sample is being drawn
and have the courier collect it,
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get it to the airline,
get it to the aircraft in time.
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The aircraft has to be on time,
and then we have to have
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a courier on the other end
to take it to the lab.
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That's what we call nimble.
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[Greg] There's a lot
of moving parts involved.
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Now, I know that one of
the really important ways that
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you make sure that the labs are
doing things the way LabConnect
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needs them to be done is with
the specialized testing kits
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that you assemble right here.
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And I'd really like to get
a look at that happening.
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I'm gonna have Julia
tell you about that now.
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-Let's go.
-[Greg] Sounds great.
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I just met with Chief Executive
Officer Wes Wheeler
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to get an overview
of what LabConnect does.
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Now it's time to get into
the nuts and bolts of things
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with Chief Commercial
and Strategy Officer
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Julia Tarasenko.
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-Hi, Julia.
-Hi.
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-Nice to meet you.
-Nice to meet you.
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So, Julia, in talking to Wes,
I realized that one of the most
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important parts of making sure
that the various labs
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follow the LabConnect
protocols is the assembly
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of the specialized test kits.
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And he tells me that you're
the person to show me
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how that's done.
-[Julia] Yeah, absolutely.
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The specialized test kit is
very important to successful
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clinical trials.
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So let me tell you
and show you how it's done.
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Julia, there are a lot
of different components here.
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How do you determine what goes
into a particular test kit?
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So test kit is a part
of our study design.
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So the protocol,
the individual protocol,
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will determine what kind
of kits we use and when.
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All kits will be custom.
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They will be custom to a visit,
and they will be in many cases
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custom to the patient.
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Every component
will be pre-labeled.
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So when the site use them,
we know which test belongs
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to which patient --
so, I will give you an example.
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This is one of the tubes
we can use.
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So it's going to be very
important how much blood
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we will draw --
even the color of the tube
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will be very important
and will be protocol specific.
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So we can have kits
that contain 10 components,
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and we can have kits
that contain 50 or even more
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for highly-specialized
oncology trials
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in as a part of the personalized
medicine development.
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OK, well, I know that
the way these kits are
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then put together is really
important to minimize errors
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and make sure that the data
all comes back to LabConnect
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the way that you want it.
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So, can I get a look at
somebody putting one of
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the kits together?
-Yeah, absolutely.
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Let's have a look.
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So this is part of the assembly
area for our clinical kits.
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But what we also
increasingly do here
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is what we call
companion diagnostic.
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That kind of kit determines
if the patient is eligible
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to take certain drugs.
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With the rise
of personalized medicine,
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the drug that's suitable
to you might not work on me.
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So these kits help
to determine that eligibility.
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And here we have April who can
help us through the process.
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-Hi, April.
-Hi.
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So this is an example of
our clinical trial kits.
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Each kit is laid out
in the order of the draw
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for ease of use at the sites.
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So when a clinician receives
this, they can actually see
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they go tube by tube
right down the line
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and then they put it back
in the same order.
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So when it comes
into the lab for processing,
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it's exactly laid out like this.
-Exactly.
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How many kits does a facility
like this produce?
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So a facility like this
produces about
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30,000 kits per month,
with well over 300,000 kits
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a year made globally.
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[Greg]
That is really impressive.
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Well, April,
thank you very much.
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So, Julia,
I guess at this point,
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the next thing for me to see
is the lab itself
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so I can see a kit come back in
and head into processing.
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Can we do that?
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Absolutely.
Follow me.
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All right.
Thank you, April.
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[April] Thank you.
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So this is our sample
processing area, and this is
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where we prepare our samples
before we send them out to
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our partner labs
for subsequent testing.
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And Dr. Zarin here will walk us
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through the process
of what's happening here.
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-Dr. Zarin, nice to meet you.
-Nice to meet you.
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So tell me a little bit about
this portion of the facility.
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So a lot of the samples
that are collected
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during clinical trials
have a stability
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of roughly 24 to 48 hours.
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However, sometimes that
stability is as low six hours.
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So here we receive samples
within that critical timeframe
245
00:10:47,400 --> 00:10:49,400
for stability, and we isolate
either white blood cells
246
00:10:50,467 --> 00:10:53,500
through peripheral blood
mononuclear cell extraction
247
00:10:54,600 --> 00:10:57,867
or circulating tumor DNA
or genomic DNA, and we extract
248
00:10:58,967 --> 00:11:00,767
those isolates and freeze
them during that critical
249
00:11:01,834 --> 00:11:03,166
time period where we can
then further send those out
250
00:11:04,367 --> 00:11:06,567
into third-party labs where
they will analyze those cells
251
00:11:07,467 --> 00:11:09,567
and that DNA
for further interpretation.
252
00:11:10,767 --> 00:11:11,767
That is really impressive.
Thank you very much, Dr. Zarin.
253
00:11:12,567 --> 00:11:13,500
Julia, what else
do you have for me?
254
00:11:14,467 --> 00:11:15,900
We have sample receiving now,
so follow me.
255
00:11:16,600 --> 00:11:17,100
Dr. Zarin, thank you very much.
256
00:11:17,467 --> 00:11:18,200
Take care.
257
00:11:30,266 --> 00:11:31,500
[Greg] So, Julia,
we're in the receiving
258
00:11:32,033 --> 00:11:32,767
and accession area.
259
00:11:33,934 --> 00:11:35,667
And what we're looking at here,
this is a part of your new
260
00:11:36,600 --> 00:11:37,667
sustainability effort.
Tell me about this.
261
00:11:38,667 --> 00:11:39,867
So, just to put it
in perspective, we accession
262
00:11:41,133 --> 00:11:44,066
we're receiving accession about
100,000 biospecimens per month.
263
00:11:44,967 --> 00:11:46,166
And as an industry,
they're all arriving
264
00:11:46,934 --> 00:11:47,867
in the styrofoam boxes
like this.
265
00:11:48,900 --> 00:11:50,567
This helps us to keep
an insulation, which means
266
00:11:51,533 --> 00:11:53,066
the sample stays within
the right temperature.
267
00:11:54,233 --> 00:11:56,467
What we have been doing is
replacing styrofoam completely
268
00:11:57,700 --> 00:11:59,567
with this fully biodegradable
and recyclable packaging made
269
00:12:00,200 --> 00:12:01,166
entirely out of paper.
270
00:12:02,300 --> 00:12:05,100
So, as you can see here,
the insulation is made entirely
271
00:12:05,667 --> 00:12:06,667
of the pressed paper.
272
00:12:07,867 --> 00:12:08,667
[Greg] And this is gonna be
as efficient as the styrofoam?
273
00:12:09,166 --> 00:12:10,000
Yeah, absolutely.
274
00:12:11,033 --> 00:12:12,200
And we have manufacturing
data to support that,
275
00:12:13,066 --> 00:12:14,166
and we have taken it
one step further.
276
00:12:15,300 --> 00:12:17,500
And we tested this packaging
in a real-world condition,
277
00:12:18,467 --> 00:12:19,600
and the results come back
extremely strong.
278
00:12:20,800 --> 00:12:22,767
And basically, at the end of
its life, this box will become
279
00:12:23,500 --> 00:12:24,266
another box?
-[Julia] Correct.
280
00:12:25,333 --> 00:12:27,266
It will be fully recycled
and becomes another box.
281
00:12:28,333 --> 00:12:28,567
-Julia, thank you very much,
and thank you
-Yeah.
282
00:12:29,834 --> 00:12:30,166
for spending the time with us.
-Of course.
283
00:12:30,900 --> 00:12:31,467
My pleasure.
Thank you so much.
284
00:12:48,467 --> 00:12:50,767
With Julia, we saw the ins
and outs of what it takes
285
00:12:51,600 --> 00:12:53,000
to put together
a customized lab kit.
286
00:12:53,867 --> 00:12:54,600
Now, we're going
to learn about logistics
287
00:12:55,700 --> 00:12:57,467
and route optimization
with Chief Technology Officer,
288
00:12:58,166 --> 00:12:59,767
Charles Castano.
Hey, Charles.
289
00:13:00,533 --> 00:13:00,767
Hi, Greg.
Nice to meet you.
290
00:13:01,500 --> 00:13:02,100
Nice to meet you, too.
291
00:13:03,333 --> 00:13:06,367
So, Charles, tell me, why is
LabConnect a lab like no other?
292
00:13:06,934 --> 00:13:07,900
Great question, Greg.
293
00:13:09,066 --> 00:13:11,667
So, LabConnect is transforming
the clinical trial space.
294
00:13:12,800 --> 00:13:13,500
And the thing that makes us
different from any company
295
00:13:14,233 --> 00:13:15,166
out there is that
we can work
296
00:13:15,934 --> 00:13:17,700
across any lab partners
worldwide.
297
00:13:18,867 --> 00:13:20,000
And what this means is that
depending on whether you are
298
00:13:21,266 --> 00:13:24,567
in Africa, in Asia, in the US,
we can actually take your data,
299
00:13:25,734 --> 00:13:28,500
ingest it, and create a data set
that you can read through
300
00:13:29,400 --> 00:13:30,700
our client portal
from that perspective.
301
00:13:31,500 --> 00:13:31,967
At the core
of this transformation
302
00:13:32,667 --> 00:13:33,667
is what we call LabConnector.
303
00:13:34,867 --> 00:13:36,166
And what it does is it allows us
to harmonize the information
304
00:13:37,100 --> 00:13:37,967
from the data test results
that we receive
305
00:13:38,900 --> 00:13:40,500
from across the world
into consistent data
306
00:13:41,333 --> 00:13:42,266
that we can provide
to our clients.
307
00:13:43,100 --> 00:13:44,467
So, essentially,
you're decentralizing
308
00:13:45,233 --> 00:13:46,367
the traditional model,
but that's
309
00:13:47,266 --> 00:13:48,367
unifying you globally?
-Yeah, absolutely.
310
00:13:49,567 --> 00:13:50,767
At the same time, I think
what's important is that we try
311
00:13:51,767 --> 00:13:52,600
as much as possible
to be as close as possible
312
00:13:53,233 --> 00:13:54,367
to where the patients are.
313
00:13:55,467 --> 00:13:56,467
And I think that's the core
value of what LabConnect
314
00:13:57,600 --> 00:13:58,900
can offer, which is to work
with companies everywhere
315
00:13:59,967 --> 00:14:01,567
in the world, as close
as possible to the patients,
316
00:14:02,700 --> 00:14:04,567
so we can do clinical trials
at any place in the world.
317
00:14:05,600 --> 00:14:07,600
Well, that seems to present
some pretty sizable
318
00:14:08,800 --> 00:14:10,200
logistical challenges to work
around the globe like that.
319
00:14:11,367 --> 00:14:13,200
There's a lot of challenges,
but with our technology that
320
00:14:14,233 --> 00:14:16,000
we call SampleGistics,
with HAWK-Eye technology,
321
00:14:17,066 --> 00:14:18,266
we can address that question.
Let me show you how.
322
00:14:18,800 --> 00:14:19,467
-Please do.
-Yeah.
323
00:14:23,467 --> 00:14:24,567
Now we're talking.
324
00:14:26,767 --> 00:14:28,500
Well, Charles, I really
want to take a deep dive
325
00:14:29,033 --> 00:14:29,667
on this technology.
326
00:14:30,433 --> 00:14:31,467
Tell me more
about SampleGistics.
327
00:14:31,867 --> 00:14:32,467
Absolutely.
328
00:14:33,333 --> 00:14:33,767
I'm so excited
about our SampleGistics
329
00:14:34,400 --> 00:14:35,066
with HAWK-Eye technology.
330
00:14:35,967 --> 00:14:36,867
So what it is,
it's actually comprised of
331
00:14:37,967 --> 00:14:38,567
three different technologies
that we've put together
332
00:14:39,066 --> 00:14:40,066
into one solution.
333
00:14:41,200 --> 00:14:42,567
One part of it is about
a mobile app that we provide to
334
00:14:43,800 --> 00:14:45,767
our site collection partners to
make sure that they have a way
335
00:14:46,600 --> 00:14:47,500
of inputting information
on the sample
336
00:14:48,433 --> 00:14:50,100
that they've collected
on a mobile device.
337
00:14:51,133 --> 00:14:52,100
It allows us to make sure
there's no human error
338
00:14:52,633 --> 00:14:53,467
in terms of writing.
339
00:14:54,433 --> 00:14:55,166
What they can do is take
a picture and type in
340
00:14:56,367 --> 00:14:57,767
information on a mobile app so
that information is provided
341
00:14:58,867 --> 00:15:01,767
to us simultaneously.
The second one is about RFID.
342
00:15:03,000 --> 00:15:05,200
An RFID allows us to actually
track exactly where the sample
343
00:15:05,700 --> 00:15:06,266
is in the network.
344
00:15:07,200 --> 00:15:08,367
So what happens is that
that sample travels
345
00:15:09,367 --> 00:15:11,667
from a LabConnect site
to the site collection,
346
00:15:12,667 --> 00:15:14,266
back to LabConnect,
and then to a lab partner.
347
00:15:15,500 --> 00:15:18,567
The RFID allows us to determine
and detect if the sample tube
348
00:15:19,400 --> 00:15:20,767
has actually arrived
at our facility,
349
00:15:21,333 --> 00:15:22,266
as an example, right?
350
00:15:23,266 --> 00:15:24,767
And then the third one
is courier integration.
351
00:15:26,033 --> 00:15:27,367
And what we do is we work with
many companies' courier partners
352
00:15:28,400 --> 00:15:30,266
out there to make sure
that we're able to gather
353
00:15:31,367 --> 00:15:32,667
information from them
on notification that allows us
354
00:15:33,834 --> 00:15:35,400
to determine if there's a
problem with a specific sample
355
00:15:36,166 --> 00:15:37,500
or a route
from that perspective.
356
00:15:38,500 --> 00:15:40,066
So basically, you're turning
your lab partners,
357
00:15:41,033 --> 00:15:42,400
everybody at LabConnect,
and even your couriers
358
00:15:43,467 --> 00:15:45,000
into one system where they're
all working together
359
00:15:45,867 --> 00:15:46,200
to make sure that
the samples show up
360
00:15:47,166 --> 00:15:48,166
when they're still viable,
because they're --
361
00:15:49,333 --> 00:15:50,667
that window is so critical,
making sure that it gets to
362
00:15:51,500 --> 00:15:52,000
where it's supposed to be.
-Exactly.
363
00:15:52,934 --> 00:15:53,567
-And that's what we're doing.
-Excellent.
364
00:15:54,633 --> 00:15:56,667
Well, now, as we look
to the future and what this
365
00:15:57,567 --> 00:15:58,900
technology might bring
as we move ahead,
366
00:15:59,533 --> 00:16:00,166
everybody talks about AI.
367
00:16:01,333 --> 00:16:01,867
And it's a big word that means
a lot of different things
368
00:16:02,834 --> 00:16:04,100
to a lot of different people.
-It is, yeah.
369
00:16:04,934 --> 00:16:06,000
How do you see
that being integrated
370
00:16:06,567 --> 00:16:07,166
into a system like this?
371
00:16:08,166 --> 00:16:09,967
We do a lot of AI
applications and agentic AIs
372
00:16:10,500 --> 00:16:11,000
across the company.
373
00:16:11,967 --> 00:16:12,500
But let me give an example
of its application
374
00:16:13,000 --> 00:16:13,867
on SampleGistics.
375
00:16:14,834 --> 00:16:16,500
So one example of this
is route optimization.
376
00:16:17,433 --> 00:16:18,000
And what that means
is that, as you know,
377
00:16:18,533 --> 00:16:19,467
you I travel, right?
378
00:16:20,533 --> 00:16:21,667
Sometimes there's a problem
with weather patterns
379
00:16:22,734 --> 00:16:24,567
or sometimes even like
political situations, right?
380
00:16:25,567 --> 00:16:26,567
What we're able to do is
overlay that information
381
00:16:27,633 --> 00:16:30,467
of weather patterns
with the courier notifications
382
00:16:31,667 --> 00:16:33,266
and it allows us to create
what I call "Next Best Action."
383
00:16:34,233 --> 00:16:35,400
It provides our team members
with information
384
00:16:36,567 --> 00:16:38,367
that allows them to determine
what's the next best route
385
00:16:39,300 --> 00:16:41,266
if a specific route has
a problem or issue.
386
00:16:42,367 --> 00:16:44,166
So when it comes to that
critical stabilization period
387
00:16:45,333 --> 00:16:47,767
where a sample has to get
to a particular place in time,
388
00:16:48,700 --> 00:16:49,767
this is and aid in doing that.
-Absolutely.
389
00:16:50,633 --> 00:16:51,266
And I guess this is
one of the things
390
00:16:52,233 --> 00:16:53,567
that makes LabConnect...
-A lab like no other.
391
00:16:54,633 --> 00:16:55,266
Charles, thank you very much.
This has been great.
392
00:16:55,900 --> 00:16:56,367
Thank you very much, Greg.
393
00:17:13,166 --> 00:17:16,266
[Greg] Back at Inventionland,
Wes Wheeler, LabConnect's CEO,
394
00:17:17,233 --> 00:17:18,166
is meeting up with
George Davison to discuss
395
00:17:19,100 --> 00:17:20,767
lab testing innovations
in tomorrow's world.
396
00:17:22,467 --> 00:17:24,100
Hey, Wes, welcome
to Inventionland.
397
00:17:25,066 --> 00:17:25,800
George, great to be here.
Thanks very much.
398
00:17:26,900 --> 00:17:28,100
Well, I was waiting for you
to get here 'cause Greg
399
00:17:29,266 --> 00:17:30,567
was telling me all about this
great technology you guys
400
00:17:31,000 --> 00:17:31,700
are working on.
401
00:17:32,800 --> 00:17:34,100
I was hoping you could expand
on that for me today.
402
00:17:34,967 --> 00:17:36,867
Yeah, I think of us
as a tech company,
403
00:17:37,433 --> 00:17:38,567
not just a lab company.
404
00:17:39,500 --> 00:17:41,367
So we are a company
that doesn't own labs,
405
00:17:42,367 --> 00:17:43,500
but we do pretty much
everything else required
406
00:17:44,033 --> 00:17:44,600
in a clinical trial.
407
00:17:45,567 --> 00:17:48,200
So we'd make the kits,
we set up the systems,
408
00:17:49,200 --> 00:17:50,667
we collect the blood,
we bring the blood back
409
00:17:51,567 --> 00:17:52,667
to our partner labs,
and then we process
410
00:17:53,900 --> 00:17:56,400
that testing data so we can
turn that into a technical file
411
00:17:57,400 --> 00:18:00,066
for our clients to file
for new drug medicines.
412
00:18:00,967 --> 00:18:02,300
We also track the movement
of the samples
413
00:18:03,500 --> 00:18:06,166
from all over the world into
our partner labs in real time.
414
00:18:06,834 --> 00:18:08,000
And how are you doing that?
415
00:18:09,200 --> 00:18:11,567
How are you tracking all of this
through the physical world?
416
00:18:12,800 --> 00:18:14,567
We found an RFID technology
that's working, we're gonna put
417
00:18:15,467 --> 00:18:18,367
an RFID tag on every tube,
and tubes are
418
00:18:19,000 --> 00:18:19,967
how we collect the blood.
419
00:18:21,033 --> 00:18:22,300
So every tube will have
an RFID tag, and every time
420
00:18:23,433 --> 00:18:26,400
that tag hits a reader,
we'll know exactly where it is.
421
00:18:26,900 --> 00:18:27,567
That makes sense.
422
00:18:28,467 --> 00:18:30,166
So because there's labs
all over the world
423
00:18:31,166 --> 00:18:32,266
that you're working with,
somehow or another,
424
00:18:33,500 --> 00:18:35,600
you must have invented a system
that ties everything together.
425
00:18:36,500 --> 00:18:38,166
So think of us, again,
as a tech company,
426
00:18:38,734 --> 00:18:39,367
connecting all the dots.
427
00:18:40,567 --> 00:18:41,767
So all the systems we have,
whether it's collecting data,
428
00:18:42,834 --> 00:18:45,266
collecting information,
collecting sample locations,
429
00:18:46,266 --> 00:18:47,200
locations in the freezers
when we store them,
430
00:18:48,433 --> 00:18:51,467
all that data will be connected
together in one total system.
431
00:18:52,433 --> 00:18:53,367
Many different systems,
but connected together
432
00:18:53,934 --> 00:18:55,200
in one digital format.
433
00:18:56,467 --> 00:18:57,867
Well, you know, Wes, it sounds
a little like the technology is
434
00:18:59,066 --> 00:19:01,567
moving in the direction of kind
of like a rideshare company
435
00:19:02,300 --> 00:19:03,700
or a B&B.
-Yeah, very much so.
436
00:19:04,867 --> 00:19:07,000
So we don't own the labs.
We don't need to own the labs.
437
00:19:07,633 --> 00:19:08,300
We partner with the labs.
438
00:19:09,533 --> 00:19:11,467
We're located next to the labs,
but we don't have to own them.
439
00:19:12,467 --> 00:19:14,000
Very similar to a B&B
or a ride share company
440
00:19:15,166 --> 00:19:16,367
where they don't own the fleet,
they don't own the rooms,
441
00:19:17,333 --> 00:19:20,000
but they own the client
and they own the data.
442
00:19:20,767 --> 00:19:21,266
Very similar
to what we're doing.
443
00:19:22,367 --> 00:19:24,667
We own the patients in terms
of how they're recruited
444
00:19:25,233 --> 00:19:26,367
for a clinical trial.
445
00:19:27,367 --> 00:19:27,800
And of course, we own
the data that comes out
446
00:19:28,900 --> 00:19:30,867
of the blood testing that we do
with our partner labs.
447
00:19:31,367 --> 00:19:32,166
That makes sense.
448
00:19:33,100 --> 00:19:35,066
And so if I'm looking out
into the future,
449
00:19:36,200 --> 00:19:37,867
I mean, it sounds to me
like by tying all this together
450
00:19:38,934 --> 00:19:41,166
with this system, you're gonna
speed up the process
451
00:19:42,233 --> 00:19:43,767
of making this happen,
which is quite an invention,
452
00:19:44,333 --> 00:19:45,667
but won't it also add
453
00:19:46,533 --> 00:19:49,000
to all the other
pharmaceutical companies
454
00:19:49,633 --> 00:19:50,300
that need your services --
455
00:19:51,333 --> 00:19:52,467
it's like adding to
the invention process itself
456
00:19:52,967 --> 00:19:53,667
for new medicines.
457
00:19:54,834 --> 00:19:55,667
Clinical trials are getting
a lot more complicated now,
458
00:19:56,667 --> 00:19:59,400
so the more that we can
digitize and tech enable
459
00:20:00,433 --> 00:20:03,266
the movement of blood samples
and testing data,
460
00:20:04,400 --> 00:20:06,100
the faster we can get those
testing data into the file
461
00:20:06,867 --> 00:20:09,166
for approval
of the new medicine.
462
00:20:10,233 --> 00:20:11,767
Well, thanks for making
a better way for all of us.
463
00:20:12,467 --> 00:20:13,667
Thank you for having me today.
464
00:20:14,500 --> 00:20:15,567
Well, everybody,
that's another edition
465
00:20:16,667 --> 00:20:18,700
of "Tomorrow's World Today."
We'll see you next time.
466
00:20:19,834 --> 00:20:20,567
So how about we check out
one of our innovation labs?
467
00:20:21,233 --> 00:20:22,367
-We'll do that.
-All right.
468
00:20:23,367 --> 00:20:24,300
Yeah, we just started
building these new labs.
469
00:20:30,467 --> 00:20:34,166
[George] And remember,
tomorrow's world
is where inspiration
470
00:20:35,133 --> 00:20:38,367
and creation drive
innovation and production.
471
00:20:38,867 --> 00:20:39,467
See you next time.