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Medicine's future? There's an app for that

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    A couple of years ago,
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    when I was attending
    the TED conference in Long Beach,
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    I met Harriet.
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    We'd actually met online before --
    not the way you're thinking.
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    We were introduced
    because we both knew Linda Avey,
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    one of the founders of the first
    online personal genomic companies.
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    And because we shared
    our genetic information with Linda,
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    she could see that Harriet and I shared
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    a very rare type of mitochondrial DNA,
    haplotype K1a1b1a,
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    which meant we were distantly related.
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    We actually share the same
    genealogy with Ötzi the Iceman.
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    So -- Ötzi, Harriet and me.
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    And being the current day, of course,
    we started our own Facebook group.
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    You're all welcome to join.
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    When I met Harriet in person
    the next year at the TED conference,
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    she'd gone online and ordered
    our own happy haplotype T-shirts.
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    (Laughter)
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    Why am I telling you this story?
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    What does it have to do
    with the future of health?
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    Well, the way I met Harriet is an example
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    of how leveraging cross-disciplinary,
    exponentially growing technologies
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    is affecting our future
    of health and wellness --
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    from low-cost gene analysis
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    to the ability to do
    powerful bioinformatics
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    to the connection of the Internet
    and social networking.
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    What I'd like to talk about today
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    is understanding
    these exponential technologies.
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    We often think linearly.
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    But if you think about it,
    if you have a lily pad
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    and it just divided every single day --
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    two, four, eight, sixteen --
    in 15 days, you'd have 32,000.
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    What do you think you'd have in a month?
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    We're at a billion.
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    If we start to think exponentially,
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    we can see how this is starting to affect
    all the technologies around us.
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    Many of these technologies,
    speaking as a physician and innovator,
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    we can start to leverage,
    to impact the future of our own health
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    and of health care,
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    and to address many of the major
    challenges in health care today,
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    ranging from the exponential costs
    to the aging population,
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    the way we really don't use
    information very well today,
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    the fragmentation of care
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    and the often very difficult course
    of adoption of innovation.
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    And one of the major things we can do
    is move the curve to the left.
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    We spend most of our money
    on the last 20 percent of life.
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    What if we could incentivize physicians
    in the health care system
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    and our own selves
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    to move the curve to the left
    and improve our health,
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    leveraging technology as well?
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    Now my favorite example
    of exponential technology,
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    we all have in our pocket.
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    If you think about it,
    these are really dramatically improving.
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    I mean, this is the iPhone 4.
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    Imagine what the iPhone 8
    will be able to do.
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    Now, I've gained some insight into this.
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    I've been the track share
    for the medicine portion
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    of a new institution
    called Singularity University,
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    based in Silicon Valley.
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    We bring together each summer
    about 100 very talented students
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    from around the world.
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    And we look at these exponential
    technologies from medicine,
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    biotech, artificial intelligence,
    robotics, nanotechnology, space,
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    and address how we can cross-train
    and leverage these
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    to impact major unmet goals.
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    We also have seven-day executive programs.
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    And coming up next month is FutureMed,
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    a program to help cross-train
    and leverage technologies into medicine.
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    Now, I mentioned the phone.
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    These mobile phones have over 20,000
    different mobile apps available.
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    There's one out of the UK
    where you can pee on a little chip,
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    connect it to your iPhone,
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    and check for an STD.
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    I don't know if I'd try that,
    but it's available.
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    There are other sorts of applications.
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    Merging your phone
    and diagnostics, for example,
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    measuring your blood glucose
    on your iPhone
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    and sending that to your physician,
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    so they can better understand
    and you can better understand
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    your blood sugars as a diabetic.
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    So let's see how exponential
    technologies are taking health care.
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    Let's start with faster.
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    It's no secret that computers,
    through Moore's law,
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    are speeding up faster and faster.
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    We can do more powerful things with them.
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    They're really approaching --
    in many cases, surpassing --
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    the ability of the human mind.
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    But where I think computational speed
    is most applicable is in imaging.
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    The ability now to look
    inside the body in real time
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    with very high resolution
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    is really becoming incredible.
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    And we're layering multiple
    technologies -- PET scans, CT scans
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    and molecular diagnostics --
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    to find and seek things
    at different levels.
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    Here you're going to see the very highest
    resolution MRI scan done today,
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    of Marc Hodosh, the curator of TEDMED.
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    And now we can see inside of the brain
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    at a resolution and ability
    never before available,
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    and essentially learn how to reconstruct
    and maybe even reengineer
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    or backwards engineer the brain,
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    so we can better understand
    pathology, disease and therapy.
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    We can look inside with real-time
    fMRI in the brain at real time.
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    And by understanding these sorts
    of processes and these connections,
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    we're going to understand the effects
    of medication or meditation
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    and better personalize
    and make effective, for example,
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    psychoactive drugs.
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    The scanners for these are getting
    smaller, less expensive
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    and more portable.
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    And this sort of data explosion
    available from these
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    is really almost becoming a challenge.
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    The scan of today takes up
    about 800 books, or 20 gigabytes.
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    The scan in a couple of years
    will be one terabyte, or 800,000 books.
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    How do you leverage that information?
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    Let's get personal.
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    I won't ask who here's had a colonoscopy,
    but if you're over age 50,
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    it's time for your screening colonoscopy.
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    How'd you like to avoid
    the pointy end of the stick?
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    Now there's essentially
    virtual colonoscopy.
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    Compare those two pictures.
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    As a radiologist, you can basically
    fly through your patient's colon,
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    and augmenting that
    with artificial intelligence,
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    potentially identify a lesion
    that we might have missed,
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    but using AI on top of radiology,
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    we can find lesions
    that were missed before.
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    Maybe this will encourage
    people to get colonoscopies
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    that wouldn't have otherwise.
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    This is an example of this paradigm shift.
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    We're moving to this integration
    of biomedicine, information technology,
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    wireless and, I would say, mobile now --
    this era of digital medicine.
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    Even my stethoscope is now digital,
    and of course, there's an app for that.
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    We're moving, obviously,
    to the era of the tricorder.
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    So the handheld ultrasound
    is basically surpassing
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    and supplanting the stethoscope.
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    These are now at a price point
    of what used to be 100,000 euros
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    or a couple hundred-thousand dollars.
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    For about 5,000 dollars,
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    I can have the power of a very powerful
    diagnostic device in my hand.
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    Merging this now with the advent
    of electronic medical records --
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    in the US, we're still
    less than 20 percent electronic;
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    here in the Netherlands,
    I think it's more than 80 percent.
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    Now that we're switching
    to merging medical data,
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    making it available electronically,
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    we can crowd-source the information,
    and as a physician,
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    I can access my patients' data
    from wherever I am,
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    just through my mobile device.
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    And now, of course, we're in the era
    of the iPad, even the iPad 2.
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    Just last month,
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    the first FDA-approved
    application was approved
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    to allow radiologists to do actual
    reading on these sorts of devices.
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    So certainly, the physicians
    of today, including myself,
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    are completely reliable on these devices.
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    And as you saw just about a month ago,
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    Watson from IBM beat
    the two champions in "Jeopardy."
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    So I want you to imagine
    when, in a couple of years,
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    we've started to apply
    this cloud-based information,
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    when we really have the AI physician
    and leverage our brains to connectivity
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    to make decisions and diagnostics
    at a level never done.
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    Already today, you don't need to go
    to your physician in many cases.
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    Only in about 20 percent of visits
    do you need to lay hands on the patient.
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    We're now in the era of virtual visits.
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    From Skype-type visits
    you can do with American Well,
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    to Cisco, that's developed a very complex
    health presence system,
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    the ability to interact with
    your health care provider is different.
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    And these are being augmented
    even by our devices, again, today.
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    My friend Jessica sent me
    a picture of her head laceration,
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    so I can save her a trip
    to the emergency room,
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    and do diagnostics that way.
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    Or maybe we can leverage
    today's gaming technology,
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    like the Microsoft Kinect,
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    hack that to enable diagnostics,
    for example, in diagnosing stroke,
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    using simple motion detection,
    using $100 devices.
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    We can actually now visit
    our patients robotically.
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    This is the RP7;
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    if I'm a hematologist,
    I can visit another clinic or hospital.
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    These are being augmented
    by a whole suite of tools
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    actually in the home now.
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    We already have wireless scales.
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    You step on the scale,
    tweet your weight to your friends,
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    they can keep you in line.
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    We have wireless blood pressure cuffs.
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    A whole gamut of technologies
    are being put together.
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    Instead of wearing kludgy devices,
    we put on a simple patch.
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    This was developed at Stanford.
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    It's called iRhythm; it completely
    supplants the prior technology
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    at a much lower price point,
    with much more effectivity.
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    We're also in the era today
    of quantified self.
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    Consumers now can basically buy
    $100 devices, like this little Fitbit.
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    I can measure my steps,
    my caloric outtake.
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    I can get insight into that
    on a daily basis
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    and share it with my friends or physician.
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    There's watches that measure
    your heart rate, Zeo sleep monitors,
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    a suite of tools
    that enable you to leverage
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    and have insight into your own health.
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    As we start to integrate this information,
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    we'll know better what to do with it,
    and have better insight
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    into our own pathologies,
    health and wellness.
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    There's even mirrors
    that can pick up your pulse rate.
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    And I would argue, in the future,
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    we'll have wearable devices
    in our clothes, monitoring us 24/7.
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    And just like the OnStar system
    in cars, your red light might go on.
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    It won't say "check engine";
    it'll be a "check your body" light,
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    and you'll go get it taken care of.
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    Probably in a few years,
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    you'll look in your mirror
    and it'll be diagnosing you.
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    (Laughter)
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    For those of you with kiddos at home,
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    how would you like a wireless
    diaper that supports your --
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    (Laughter)
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    More information, I think,
    than you might need,
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    but it's going to be here.
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    Now, we've heard a lot today
    about technology and connection.
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    And I think some of these technologies
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    will enable us to be more connected
    with our patients, to take more time
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    and do the important
    human-touch elements of medicine,
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    as augmented by these technologies.
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    Now, we've talked about
    augmenting the patient.
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    How about augmenting the physician?
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    We're now in the era
    of super-enabling the surgeon,
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    who can now go into the body and do
    robotic surgery, which is here today,
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    at a level that was not really possible
    even five years ago.
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    And now this is being augmented
    with further layers of technology,
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    like augmented reality.
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    So the surgeon can see
    inside the patient, through their lens,
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    where the tumor is,
    where the blood vessels are.
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    This can be integrated
    with decision support.
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    A surgeon in New York can help
    a surgeon in Amsterdam, for example.
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    And we're entering an era
    of truly scarless surgery called NOTES,
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    where the robotic endoscope
    can come out the stomach
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    and pull out that gallbladder,
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    all in a scarless way and robotically.
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    This is called NOTES, and it's coming --
    basically scarless surgery,
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    as mediated by robotic surgery.
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    Now, how about controlling other elements?
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    For those who have
    disabilities -- the paraplegic,
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    there's the brain-computer
    interface, or BCI,
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    where chips have been put
    on the motor cortex
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    of completely quadriplegic patients,
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    and they can control
    a cursor or a wheelchair
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    or, potentially, a robotic arm.
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    These devices are getting smaller
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    and going into more and more
    of these patients.
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    Still in clinical trials,
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    but imagine when we can connect
    these, for example,
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    to the amazing bionic limb,
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    such as the DEKA Arm,
    built by Dean Kamen and colleagues,
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    which has 17 degrees
    of motion and freedom,
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    and can allow the person who's lost a limb
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    to have much higher dexterity or control
    than they've had in the past.
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    So we're really entering the era
    of wearable robotics, actually.
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    If you haven't lost a limb
    but had a stroke,
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    you can wear these augmented limbs.
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    Or if you're a paraplegic -- I've visited
    the folks at Berkeley Bionics --
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    they've developed eLEGS.
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    I took this video last week.
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    Here's a paraplegic patient, walking
    by strapping on these exoskeletons.
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    He's otherwise completely
    wheelchair-bound.
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    This is the early era
    of wearable robotics.
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    And by leveraging
    these sorts of technologies,
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    we're going to change
    the definition of disability
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    to, in some cases, be superability,
    or super-enabling.
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    This is Aimee Mullins, who lost
    her lower limbs as a young child,
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    and Hugh Herr, who's a professor at MIT,
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    who lost his limbs in a climbing accident.
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    And now both of them can climb better,
    move faster, swim differently
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    with their prosthetics
    than us normal-abled persons.
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    How about other exponentials?
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    Clearly the obesity trend is exponentially
    going in the wrong direction,
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    including with huge costs.
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    But the trend in medicine
    is to get exponentially smaller.
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    A few examples: we're now in the era
    of "Fantastic Voyage," the iPill.
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    You can swallow this
    completely integrated device.
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    It can take pictures of your GI system,
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    help diagnose and treat
    as it moves through your GI tract.
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    We get into even smaller micro-robots
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    that will eventually, autonomously,
    move through your system,
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    and be able to do things surgeons can't do
  • 11:04 - 11:06
    in a much less invasive manner.
  • 11:06 - 11:08
    Sometimes these might
    self-assemble in your GI system,
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    and be augmented in that reality.
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    On the cardiac side,
    pacemakers are getting smaller
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    and much easier to place,
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    so no need to train an interventional
    cardiologist to place them.
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    And they'll be wirelessly telemetered
    to your mobile devices,
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    so you can go places
    and be monitored remotely.
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    These are shrinking even further.
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    This one is in prototyping
    by Medtronic; it's smaller than a penny.
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    Artificial retinas, the ability to put
    arrays on the back of the eyeball
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    and allow the blind to see --
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    also in early trials,
    but moving into the future.
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    These are going to be game-changing.
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    Or for those of us who are sighted,
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    how about having
    the assisted-living contact lens?
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    Bluetooth, Wi-Fi available --
    beams back images to your eye.
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    (Laughter)
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    Now, if you have trouble
    maintaining your diet,
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    it might help to have some extra imagery
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    to remind you how many calories
    are going to be coming at you.
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    How about enabling the pathologist
    to use their cell phone
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    to see at a microscopic level
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    and to lumber that data back to the cloud
    and make better diagnostics?
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    In fact, the whole era
    of laboratory medicine
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    is completely changing.
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    We can now leverage microfluidics,
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    like this chip made
    by Steve Quake at Stanford.
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    Microfluidics can replace
    an entire lab of technicians;
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    put it on a chip, enable thousands
    of tests at the point of care,
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    anywhere in the world.
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    This will really leverage technology
    to the rural and the underserved
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    and enable what used to be thousand-dollar
    tests to be done for pennies,
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    and at the point of care.
  • 12:23 - 12:26
    If we go down the small
    pathway a little bit further,
  • 12:26 - 12:28
    we're entering the era of nanomedicine,
  • 12:28 - 12:29
    the ability to make devices super-small,
  • 12:30 - 12:32
    to the point where we can
    design red blood cells
  • 12:32 - 12:35
    or microrobots that monitor
    our blood system or immune system,
  • 12:35 - 12:38
    or even those that might clear out
    the clots from our arteries.
  • 12:38 - 12:40
    Now how about exponentially cheaper?
  • 12:40 - 12:43
    Not something we usually think
    about in the era of medicine,
  • 12:43 - 12:47
    but hard disks used to be 3,400 dollars
    for 10 megabytes -- exponentially cheaper.
  • 12:47 - 12:49
    In genomics now, the genome
    cost about a billion dollars
  • 12:49 - 12:52
    about 10 years ago,
    when the first one came out.
  • 12:52 - 12:55
    We're now approaching essentially
    a $1,000 genome, probably next year.
  • 12:55 - 12:57
    And in two years, a $100 genome.
  • 12:57 - 12:58
    What will we do with $100 genomes?
  • 12:58 - 13:01
    Soon we'll have millions
    of these tests available.
  • 13:01 - 13:04
    Then it gets interesting, when we start
    to crowd-source that information,
  • 13:04 - 13:06
    and enter the era
    of true personalized medicine:
  • 13:06 - 13:09
    the right drug for the right person
    at the right time,
  • 13:09 - 13:12
    instead of what we're doing now,
    which is the same drug for everybody,
  • 13:12 - 13:15
    blockbuster drug medications,
    which don't work for the individual.
  • 13:15 - 13:19
    Many different companies are working
    on leveraging these approaches.
  • 13:19 - 13:21
    I'll show you a simple example,
    from 23andMe again.
  • 13:21 - 13:23
    My data indicates
    I've got about average risk
  • 13:23 - 13:26
    for developing macular degeneration,
    a kind of blindness.
  • 13:26 - 13:29
    But if I take that same data,
    upload it to deCODEme,
  • 13:29 - 13:33
    I can look at my risk for type 2 diabetes;
    I'm at almost twice the risk.
  • 13:33 - 13:36
    I might want to watch how much dessert
    I have at lunch, for example.
  • 13:36 - 13:37
    It might change my behavior.
  • 13:38 - 13:40
    Leveraging my knowledge
    of my pharmacogenomics:
  • 13:40 - 13:43
    how my genes modulate,
    what my drugs do and what doses I need
  • 13:43 - 13:45
    will become increasingly important,
  • 13:45 - 13:47
    and once in the hands
    of individuals and patients,
  • 13:47 - 13:50
    will make better drug dosing
    and selection available.
  • 13:50 - 13:53
    So again, it's not just genes,
    it's multiple details --
  • 13:53 - 13:55
    our habits, our environmental exposures.
  • 13:55 - 13:58
    When was the last time your doctor
    asked where you've lived?
  • 13:58 - 14:00
    Geomedicine: where you live,
    what you've been exposed to,
  • 14:00 - 14:02
    can dramatically affect your health.
  • 14:02 - 14:04
    We can capture that information.
  • 14:04 - 14:06
    Genomics, proteomics, the environment --
  • 14:06 - 14:08
    all this data streaming at us
    individually and as physicians:
  • 14:08 - 14:10
    How do we manage it?
  • 14:10 - 14:13
    We're now entering the era
    of systems medicine, systems biology,
  • 14:13 - 14:15
    where we can start to integrate
    all this information.
  • 14:15 - 14:18
    And by looking at the patterns,
    for example, in our blood,
  • 14:18 - 14:20
    of 10,000 biomarkers in a single test,
  • 14:20 - 14:23
    we can look at patterns and detect disease
    at a much earlier stage.
  • 14:23 - 14:27
    This is called by Lee Hood,
    the father of the field, P4 Medicine.
  • 14:27 - 14:30
    We'll be predictive and know
    what you're likely to have.
  • 14:30 - 14:32
    We can be preventative;
    that prevention can be personalized.
  • 14:32 - 14:35
    More importantly,
    it'll be increasingly participatory.
  • 14:35 - 14:37
    Through websites like PatientsLikeMe
  • 14:37 - 14:40
    or managing your data on Microsoft
    HealthVault or Google Health,
  • 14:40 - 14:42
    leveraging this together
    in participatory ways
  • 14:42 - 14:44
    will be increasingly important.
  • 14:44 - 14:46
    I'll finish up with exponentially better.
  • 14:46 - 14:48
    We'd like to get therapies
    better and more effective.
  • 14:48 - 14:51
    Today we treat high blood pressure
    mostly with pills.
  • 14:51 - 14:52
    What if we take a new device,
  • 14:52 - 14:55
    knock out the nerve vessels
    that help mediate blood pressure,
  • 14:55 - 14:58
    and in a single therapy,
    basically cure hypertension?
  • 14:58 - 15:00
    This is a new device
    doing essentially that.
  • 15:00 - 15:02
    It should be on the market
    in a year or two.
  • 15:02 - 15:04
    How about more targeted
    therapies for cancer?
  • 15:04 - 15:07
    I'm an oncologist and know that most
    of what we give is essentially poison.
  • 15:08 - 15:11
    We learned at Stanford and other places
    that we can discover cancer stem cells,
  • 15:11 - 15:15
    the ones that seem to be really
    responsible for disease relapse.
  • 15:15 - 15:17
    So if you think of cancer as a weed,
  • 15:17 - 15:19
    we often can whack the weed away
    and it seems to shrink,
  • 15:19 - 15:21
    but it often comes back.
  • 15:21 - 15:22
    So we're attacking the wrong target.
  • 15:22 - 15:24
    The cancer stem cells remain,
  • 15:24 - 15:26
    and the tumor can return
    months or years later.
  • 15:26 - 15:29
    We're now learning to identify
    the cancer stem cells
  • 15:29 - 15:32
    and identify those as targets
    and go for the long-term cure.
  • 15:32 - 15:34
    We're entering the era
    of personalized oncology,
  • 15:34 - 15:36
    the ability to leverage
    all of this data together,
  • 15:37 - 15:38
    analyze the tumor
  • 15:38 - 15:41
    and come up with a real, specific cocktail
    for the individual patient.
  • 15:41 - 15:43
    I'll close with regenerative medicine.
  • 15:43 - 15:45
    I've studied a lot about stem cells.
  • 15:45 - 15:47
    Embryonic stem cells
    are particularly powerful.
  • 15:47 - 15:49
    We have adult stem cells
    throughout our body;
  • 15:49 - 15:51
    we use those in bone marrow
    transplantation.
  • 15:51 - 15:55
    Geron, last year, started the first trial
    using human embryonic stem cells
  • 15:55 - 15:57
    to treat spinal cord injuries.
  • 15:57 - 15:59
    Still a phase I trial, but evolving.
  • 15:59 - 16:02
    We've been using adult stem cells
    in clinical trials for about 15 years
  • 16:02 - 16:06
    to approach a whole range of topics,
    particularly cardiovascular disease.
  • 16:06 - 16:10
    If we take our own bone marrow cells
    and treat a patient with a heart attack,
  • 16:10 - 16:13
    we can see much improved
    heart function and better survival
  • 16:13 - 16:16
    using our own bone marrow derived cells
    after a heart attack.
  • 16:16 - 16:18
    I invented a device
    called the MarrowMiner,
  • 16:18 - 16:20
    a much less invasive way
    for harvesting bone marrow.
  • 16:20 - 16:23
    It's now been FDA approved;
    hopefully on the market in the next year.
  • 16:24 - 16:25
    Hopefully you can appreciate the device
  • 16:25 - 16:29
    going through the patient's body removing
    bone marrow, not with 200 punctures,
  • 16:29 - 16:32
    but with a single puncture,
    under local anesthesia.
  • 16:32 - 16:33
    Where is stem-cell therapy going?
  • 16:33 - 16:34
    If you think about it,
  • 16:34 - 16:38
    every cell in your body has the same DNA
    you had when you were an embryo.
  • 16:38 - 16:40
    We can now reprogram your skin cells
  • 16:40 - 16:43
    to actually act like a pluripotent
    embryonic stem cell
  • 16:43 - 16:46
    and utilize those, potentially, to treat
    multiple organs in the same patient,
  • 16:46 - 16:48
    making personalized stem cell lines.
  • 16:48 - 16:51
    I think there'll be a new era
    of your own stem cell banking
  • 16:51 - 16:55
    to have in the freezer your own cardiac
    cells, myocytes and neural cells
  • 16:55 - 16:57
    to use them in the future,
    should you need them.
  • 16:57 - 17:00
    We're integrating this now
    with a whole era of cellular engineering,
  • 17:00 - 17:04
    and integrating exponential technologies
    for essentially 3D organ printing,
  • 17:04 - 17:05
    replacing the ink with cells,
  • 17:05 - 17:08
    and essentially building
    and reconstructing a 3D organ.
  • 17:08 - 17:10
    That's where things are heading.
  • 17:10 - 17:11
    Still very early days,
  • 17:11 - 17:14
    but I think, as integration
    of exponential technologies,
  • 17:14 - 17:15
    this is the example.
  • 17:15 - 17:17
    So in closing, as you think
    about technology trends
  • 17:17 - 17:19
    and how to impact health and medicine,
  • 17:19 - 17:21
    we're entering an era of miniaturization,
  • 17:21 - 17:24
    decentralization and personalization.
  • 17:24 - 17:25
    And by pulling these things together,
  • 17:25 - 17:28
    if we start to think about
    how to understand and leverage them,
  • 17:28 - 17:32
    we're going to empower the patient,
    enable the doctor, enhance wellness
  • 17:32 - 17:34
    and begin to cure the well
    before they get sick.
  • 17:34 - 17:38
    Because I know as a doctor, if someone
    comes to me with stage I disease,
  • 17:38 - 17:40
    I'm thrilled; we can often cure them.
  • 17:40 - 17:41
    But often it's too late,
  • 17:41 - 17:43
    and it's stage III or IV
    cancer, for example.
  • 17:43 - 17:45
    So by leveraging
    these technologies together,
  • 17:45 - 17:48
    I think we'll enter a new era
    that I like to call stage 0 medicine.
  • 17:48 - 17:52
    And as a cancer doctor,
    I'm looking forward to being out of a job.
  • 17:52 - 17:53
    Thanks very much.
  • 17:53 - 17:55
    (Applause)
  • 17:55 - 17:57
    Host: Thank you. Thank you.
  • 17:57 - 17:58
    (Applause)
  • 17:58 - 18:00
    Take a bow, take a bow.
Title:
Medicine's future? There's an app for that
Speaker:
Daniel Kraft
Description:

At TEDxMaastricht, Daniel Kraft offers a fast-paced look at the next few years of innovations in medicine, powered by new tools, tests and apps that bring diagnostic information right to the patient's bedside.

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Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
18:01

English subtitles

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