What your breath could reveal about your health | Julian Burschka

98,282 views ・ 2019-02-25

TED


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Translator: Joseph Geni Reviewer: Camille Martínez
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I have a tendency to assume the worst,
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and once in a while, this habit plays tricks on me.
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For example, if I feel unexpected pain in my body
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that I have not experienced before and that I cannot attribute,
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then all of a sudden, my mind might turn a tense back into heart disease
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or calf muscle pain into deep vein thrombosis.
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But so far, I haven't been diagnosed with any deadly or incurable disease.
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Sometimes things just hurt for no clear reason.
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But not everyone is as lucky as me.
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Every year, more than 50 million people die worldwide.
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Especially in high-income economies like ours,
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a large fraction of deaths is caused by slowly progressing diseases:
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heart disease, chronic lung disease, cancer, Alzheimer's, diabetes,
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just to name a few.
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Now, humanity has made tremendous progress in diagnosing and treating many of these.
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But we are at a stage where further advancement in health
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cannot be achieved only by developing new treatments.
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And this becomes evident when we look at one aspect
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that many of these diseases have in common:
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the probability for successful treatment
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strongly depends on when treatment is started.
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But a disease is typically only detected once symptoms occur.
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The problem here is that, in fact, many diseases can remain asymptomatic,
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hence undetected, for a long period of time.
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Because of this, there is a persisting need for new ways
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of detecting disease at early stage,
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way before any symptoms occur.
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In health care, this is called screening.
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And as defined by the World Health Organization,
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screening is "the presumptive identification of unrecognized disease
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in an apparently healthy person,
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by means of tests ... that can be applied rapidly and easily ..."
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That's a long definition, so let me repeat it:
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identification of unrecognized disease
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in an apparently healthy person
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by means of tests that can be applied both rapidly and easily.
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And I want to put special emphasis on the words "rapidly" and "easily"
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because many of the existing screening methods
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are exactly the opposite.
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And those of you who have undergone colonoscopy
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as part of a screening program for colorectal cancer
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will know what I mean.
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Obviously, there's a variety of medical tools available
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to perform screening tests.
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This ranges from imaging techniques such as radiography
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or magnetic resonance imaging
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to the analysis of blood or tissue.
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We have all had such tests.
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But there's one medium that for long has been overlooked:
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a medium that is easily accessible,
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basically nondepletable,
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and it holds tremendous promise for medical analysis.
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And that is our breath.
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Human breath is essentially composed of five components:
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nitrogen, oxygen, carbon dioxide, water and argon.
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But besides these five, there are hundreds of other components
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that are present in very low quantity.
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These are called volatile organic compounds,
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and we release hundreds, even thousands of them
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every time we exhale.
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The analysis of these volatile organic compounds in our breath
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is called breath analysis.
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In fact, I believe that many of you have already experienced breath analysis.
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Imagine: you're driving home late at night,
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when suddenly, there's a friendly police officer
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who asks you kindly but firmly
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to pull over and blow into a device like this one.
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This is an alcohol breath tester
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that is used to measure the ethanol concentration in your breath
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and determine whether driving in your condition is a clever idea.
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Now, I'd say my driving was pretty good,
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but let me check.
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(Beep)
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0.0, so nothing to worry about, all fine.
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(Laughter)
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Now imagine a device like this one,
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that does not only measure alcohol levels in your breath,
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but that detects diseases like the ones I've shown you
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and potentially many more.
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The concept of correlating the smell of a person's breath
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with certain medical conditions,
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in fact, dates back to Ancient Greece.
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But only recently, research efforts on breath analysis have skyrocketed,
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and what once was a dream is now becoming reality.
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And let me pull up this list again that I showed you earlier.
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For the majority of diseases listed here,
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there's substantial scientific evidence
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suggesting that the disease could be detected by breath analysis.
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But how does it work, exactly?
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The essential part is a sensor device
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that detects the volatile organic compounds in our breath.
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Simply put: when exposed to a breath sample,
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the sensor outputs a complex signature
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that results from the mixture of volatile organic compounds that we exhale.
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Now, this signature represents a fingerprint of your metabolism,
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your microbiome
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and the biochemical processes that occur in your body.
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If you have a disease,
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your organism will change,
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and so will the composition of your exhaled breath.
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And then the only thing that is left to do is to correlate a certain signature
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with the presence or absence of certain medical conditions.
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The technology promises several undeniable benefits.
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Firstly, the sensor can be miniaturized
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and integrated into small, handheld devices
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like this alcohol breath tester.
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This would allow the test to be used in many different settings
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and even at home,
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so that a visit at the doctor's office
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is not needed each time a test shall be performed.
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Secondly, breath analysis is noninvasive
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and can be as simple as blowing into an alcohol breath tester.
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Such simplicity and ease of use would reduce patient burden
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and provide an incentive for broad adoption of the technology.
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And thirdly, the technology is so flexible
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that the same device could be used
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to detect a broad range of medical conditions.
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Breath analysis could be used to screen for multiple diseases at the same time.
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Nowadays, each disease typically requires a different medical tool
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to perform a screening test.
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But this means you can only find what you're looking for.
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With all of these features, breath analysis is predestined
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to deliver what many traditional screening tests are lacking.
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And most importantly,
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all of these features should eventually provide us
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with a platform for medical analysis
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that can operate at attractively low cost per test.
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On the contrary, existing medical tools
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often lead to rather high cost per test.
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Then, in order to keep costs down,
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the number of tests needs to be restricted,
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and this means (a) that the tests can only be performed
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on a narrow part of the population, for example, the high-risk population;
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and (b) that the number of tests per person needs to be kept at a minimum.
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But wouldn't it actually be beneficial
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if the test was performed on a larger group of people,
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and more often and over a longer period of time for each individual?
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Especially the latter would give access to something very valuable
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that is called longitudinal data.
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Longitudinal data is a data set that tracks the same patient
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over the course of many months or years.
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Nowadays, medical decisions are often based on a limited data set,
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where only a glimpse of a patient's medical history
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is available for decision-making.
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In such a case,
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abnormalities are typically detected
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by comparing a patient's health profile
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to the average health profile of a reference population.
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Longitudinal data would open up a new dimension
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and allow abnormalities to be detected
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based on a patient's own medical history.
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This will pave the way for personalized treatment.
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Sounds pretty great, right?
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Now you will certainly have a question that is something like,
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"If the technology is as great as he says, then why aren't we using it today?"
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And the only answer I can give you is:
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not everything is as easy as it sounds.
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There are technical challenges, for example.
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There's the need for extremely reliable sensors
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that can detect mixtures of volatile organic compounds
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with sufficient reproducibility.
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And another technical challenge is this:
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How do you sample a person's breath in a very defined manner
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so that the sampling process itself
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does not alter the result of the analysis?
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And there's the need for data.
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Breath analysis needs to be validated in clinical trials,
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and enough data needs to be collected
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so that individual conditions can be measured against baselines.
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Breath analysis can only succeed
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if a large enough data set can be generated
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and made available for broad use.
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If breath analysis holds up to its promises,
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this is a technology that could truly aid us
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to transform our health care system --
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transform it from a reactive system
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where treatment is triggered by symptoms of disease
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to a proactive system,
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where disease detection, diagnosis and treatment
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can happen at early stage,
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way before any symptoms occur.
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Now this brings me to my last point, and it's a fundamental one.
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What exactly is a disease?
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Imagine that breath analysis can be commercialized as I describe it,
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and early detection becomes routine.
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A problem that remains is, in fact, a problem
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that any screening activity has to face
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because, for many diseases,
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it is often impossible to predict with sufficient certainty
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whether the disease would ever cause any symptoms
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or put a person's life at risk.
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This is called overdiagnosis,
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and it leads to a dilemma.
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If a disease is identified,
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you could decide not to treat it
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because there's a certain probability that you would never suffer from it.
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But how much would you suffer
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just from knowing that you have a potentially deadly disease?
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And wouldn't you actually regret that the disease was detected
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in the first place?
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Your second option is to undergo early treatment
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with the hope for curing it.
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But often, this would not come without side effects.
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To be precise:
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the bigger problem is not overdiagnosis,
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it's overtreatment,
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because not every disease has to be treated immediately
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just because a treatment is available.
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The increasing adoption of routine screening
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will raise the question:
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What do we call a disease that can rationalize treatment,
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and what is just an abnormality that should not be a source of concern?
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My hopes are that routine screening using breath analysis
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can provide enough data and insight
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so that at some point, we'll be able to break this dilemma
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and predict with sufficient certainty
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whether and when to treat at early stage.
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Our breath and the mixture of volatile organic compounds that we exhale
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hold tremendous amounts of information on our physiological condition.
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With what we know today, we have only scratched the surface.
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As we collect more and more data and breath profiles across the population,
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including all varieties of gender, age, origin and lifestyle,
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the power of breath analysis should increase.
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And eventually, breath analysis should provide us with a powerful tool
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not only to proactively detect specific diseases
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but to predict and ultimately prevent them.
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And this should be enough motivation
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to embrace the opportunities and challenges
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that breath analysis can provide,
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even for people that are not part-time hypochondriacs like me.
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Thank you.
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(Applause)
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