Aaron Morris: How your body could become its own diagnostic lab | TED Fellows

37,452 views ・ 2021-06-07

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[SHAPE YOUR FUTURE]
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(Slam) Ow!
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As anyone who’s stubbed a toe in the dark
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or spent an hour searching for their keys knows
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we're often limited by what we can or cannot see.
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In fact, even our own bodies can be black boxes.
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Today, I want to take you through a vision of health care
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that scientists and engineers, myself included, are building.
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We are creating a diagnostic lab inside your body
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that can provide a continuous analysis of your health
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so that we can better see what's happening in patients.
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Currently, if someone is sick,
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we may diagnose them by using a biopsy
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to bring disease tissue outside the body where we can see it.
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We do this if we suspect, for instance, that a growth might be cancerous.
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Unfortunately, this approach can't work all the time
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because of two major problems.
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First, some tissues, like brains or spinal cords,
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can't be routinely biopsied.
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And second, doctors often don't know which tissue is causing the problem,
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so they don't know what to biopsy.
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So far, we've dealt with these issues using external medical tests,
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like MRIs or blood tests.
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These provide a broad overview of the health of a patient,
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but they can't see the molecular and cellular changes
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that occur within tissues,
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and they certainly can't provide enough information
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to proactively treat patients before symptoms develop.
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This is unfortunate
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because it's these invisible changes that ultimately cause disease.
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Our inability to measure these changes
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results in a disparity between what we can see on a test
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and what we know is happening in patients.
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Let's take multiple sclerosis as an example.
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In MS, which is an autoimmune disease,
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the immune system attacks two specific tissues:
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the brain and the spinal cord,
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resulting in damage and in some cases, paralysis.
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Now, we obviously can't catch MS by routinely biopsying people's brains,
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where there would be abundant and active disease-inducing cells.
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And we can't catch it using a blood test
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because the MS-inducing cells are so rare and inactive in the blood
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that we simply can't see them.
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Even brain imaging technologies like MRI can't provide the information we need
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to be proactive about MS.
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So we need to rethink how we see.
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My coworkers at the University of Michigan and I decided to do just that.
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Instead of taking an outside-in approach to diagnostics,
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we're taking an inside-out approach.
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We are creating implantable sites
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that have similarities to other sites in the body,
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and will improve our vision by giving us real-time access
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to molecular and cellular information about diseased tissues.
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These insights will enable us to predict the onset of disease
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and even identify therapies likely to work in an individual patient.
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So what does this inside-out approach look like?
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Step one is to engineer new tissues just under the skin.
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These tissues have similarities to other inaccessible sites in the body,
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like the brain or the lungs.
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By implanting a porous plastic disk made of FDA-approved biomaterials,
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I can harness the body's natural responses to allow cells to migrate into the disk,
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survive at the site and form a tissue.
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Eventually, we're left with an engineered tissue
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with integrated immune cells,
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just the cells we need for diagnosis.
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Although these tissues are complex and chronically inflamed,
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they're also innocuous
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and after a few weeks, nearly imperceptible.
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Our engineered tissues contain information not present in the blood,
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and they can help bridge the gap
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between what we can see on a traditional test
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and cellular changes we know occur in disease.
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Step two is to read this signal.
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Currently, I could take a biopsy of my engineered site and analyze it
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because I made them accessible just under the skin.
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But it would certainly be better
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if we could incorporate and read a sensor noninvasively.
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Within the next decade,
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rapidly converging technologies could enable diagnosis at such an implant
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by harnessing simple detectors,
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like a blood pressure cuff or smartwatch does now.
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The mechanisms for diagnosing and monitoring disease
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could be as simple as opening an app, like Candy Crush on your phone.
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Step three is to harness the huge array of knowledge
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in fields like engineering and material science
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to improve these implants and our ability to read their data.
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Eventually, tens, if not hundreds of individual engineered tissues
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with integrated sensors
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may be implantable with a single application.
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Now, this approach to diagnosis is unconventional, to be sure,
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but it is robust.
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So far, my colleagues and I have used it
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to diagnose models of metastatic cancer,
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type 1 diabetes, multiple sclerosis and organ transplant rejection.
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But this is just the beginning of what we can see.
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With continuous improvements,
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we will be able to truly create
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a diagnostic lab inside your body
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that provides a continuous analysis of your health.
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By changing how we see what's going wrong in patients,
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we will be able to diagnose and treat diseases better
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and faster than ever before.
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If you're willing to rethink how you see,
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you may be surprised what comes into view.
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Thank you.
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