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  • >> Announcer: Live from Austin Texas, it's theCUBE,

  • covering South by Southwest 2017, brought to you by Intel.

  • Now, here's John Furrier.

  • >> Welcome back everyone, we are live at the Intel AI Lounge,

  • end of the day, day one at South by Southwest,

  • I'm John Furrier, this is theCUBE,

  • our flagship programming brought to the events

  • and extract a signal from the noise.

  • What a day it is here, it's the packed venue, AI Lounge,

  • with Intel, it's the hottest spot in South by Southwest,

  • of course, where our theme is AI for social good,

  • and our next guest is Bryce Olson with Intel,

  • and your title officially is, global marketing director

  • health and live services, but you are an amazing story,

  • cancer survivor, but a fighter,

  • you took it to technology to stop your cancer,

  • and also, a composer with your friend, called FACTS,

  • Fighting Advanced Cancer Through Song, the stories.

  • Welcome to theCUBE! >> Thank you,

  • it's great to be here, this is awesome,

  • this is amazing environment that we're in today.

  • But yeah, you're right, when you look at data,

  • genomics data, which is looking at your DNA,

  • and running that out and being able to understand

  • what could potentially be fueling disease,

  • that's the biggest of big data.

  • And when I was working at Intel,

  • I was in a non-healthcare oriented group,

  • and then all of a sudden, I got hit with cancer,

  • like very aggressive, advanced cancer.

  • And I went through the whole standard of care,

  • and I went through that one-size-fits-all

  • spin that wheel of treatments and hopefully

  • you get something kind of thing, nothing--

  • >> General purpose, chemotherapy, whatever, blah blah blah.

  • >> Nothing worked.

  • And I came to the point where I was start to come to terms

  • with the fact that I may not see my daughter

  • get through elementary school.

  • So, cancer's starting to grow again, I go back to work,

  • at this point, I only want to work in healthcare,

  • because, why would I want to do anything else?

  • I want to try to--

  • >> John: But you have terminal cancer at this point.

  • >> I have terminal cancer at this point,

  • but I'm not sick yet.

  • You know, I went through all the chemo and all that crap,

  • but I'm not sick yet.

  • So, I asked to get into Intel's healthcare group,

  • because I want to try to help healthcare providers

  • make this digital transformation.

  • They let me in, and what I found out kind of blew my mind.

  • I learned about this new space of genomics

  • and precision medicine.

  • >> Well, it turns out, hold on for a second,

  • you were telling me the story before,

  • but you skipped a step, it turns out

  • Intel has a lot of work going on,

  • so you come into Intel, you're like,

  • they open up the kimono--

  • >> Open up the kimono, and I learn about this new era

  • called, just basically genomics, so what is genomics?

  • Genomics, essentially, is a way

  • to look at disease differently.

  • Why can't we go in and find out what's fueling disease

  • deep in the DNA?

  • Because every disease is diagnosable by DNA,

  • we just have never had the technology,

  • and the science, combining together

  • to get to that answer before.

  • Now we do.

  • So I found out that Intel is working

  • with all these genomic sequencing companies

  • to increase the throughput so you can actually

  • take something that costs $2 billion dollars back in 2003,

  • and took 10 years to do, get it down to $1,000

  • and do it in a day, right?

  • So now, it democratizes sequencing,

  • so we can look at what's fueling disease and get the data.

  • Then I learned about Intel working with all these major

  • bioinformatics open stores and commercial providers,

  • the Broad Institute at MIT, Harvard,

  • largest genomic sequencing place on the planet,

  • about how they take that data and then analyze it,

  • get to what is really fueling disease.

  • And then I learn about the cool things

  • we're doing with customers, which I could talk about,

  • like actual hospitals. >> Well, let's hold on

  • for a second on that, your shirt says Sequence Me,

  • but this is really key for the audience out there listening

  • and watching, is that, literally 10 years ago

  • the costs were astronomical, no one could afford it.

  • Big grants, philanthropy-funded R&D centers,

  • now, literally, you had your genome sequenced

  • for thousands of dollars.

  • >> Well, so, and this is what happened, right?

  • I learned about all this stuff that Intel's up to,

  • and I get kind of upset.

  • I get kind of pissed off, right?

  • Because nobody's giving this to me.

  • Nobody's sequencing my cancer, right?

  • So I go back to the cancer center that I was working with,

  • this is January 2015, turns out they were getting ready,

  • they were perfecting their lab diagnostic test on this,

  • it was like a perfect storm, they were ready, I wanted it,

  • they gave it to me, turns out my cancer

  • grows along this particular mutated pathway

  • that we had no idea.

  • >> So the data was, so in your DNA sequence step one,

  • step two is you go in massive compute power,

  • which is available, and you go look at it,

  • and it turns out there's a nuance to your cancer

  • that's identifiable!

  • >> Yeah, a needle in that haystack, right?

  • The signal in the noise, if you will, right?

  • So there's a specific molecular abnormality,

  • and in my case, there was a pathway that was out of control,

  • and the reason why I say it was out of control is,

  • the pathway was mutated, but then

  • there's this tumor suppressor gene

  • that's supposed to stop cancer, he's gone!

  • So it's like a freeway of traffic--

  • >> So he's checked out, and all of a sudden,

  • this is going wild, but this is cancer

  • for everyone has their own version of this.

  • >> Yes they do. >> So this is now

  • a new opportunity.

  • >> Yes!

  • Now we understand what's fueling my unique cancer.

  • We took data, we took technology and science,

  • and we got to the point where we understand

  • what's fueling my cancer.

  • With that data, I find a clinical trial

  • testing a new inhibitor of that pathway.

  • >> So I just got to stop and just pause,

  • because it's very emotional, and first of all,

  • man, yours is an inspiration to me and everyone watching.

  • I'm looking at some sign this year at the Intel AI booth,

  • and it says, "Your amazing starts with Intel,"

  • this is truly an amazing story.

  • >> Yeah, thank you. >> It's really beyond amazing,

  • it's life saving!

  • >> And that's what happened to me.

  • >> This is now at the beginning, so take me through,

  • in your mind, where is the progress bar on this,

  • in the AI evolution, or when I say AI,

  • I mean like machine learning, compute,

  • end-to-end technology innovation.

  • It's available, obviously, when is it going to be mainstream?

  • >> Yeah, so, we're at a point right now where

  • we can go in, if you have advanced cancer,

  • we're at a point now where we can sequence

  • that person's cancer and find out what's driving it,

  • we can do that.

  • But where it's going to get problematic is,

  • look at my case.

  • The mutated pathway hypersegmented by cancer, right,

  • so prostate cancer, a common cancer,

  • now became a rare cancer, because we hypersegmented it

  • by DNA, and I went after a treatment that was targeted,

  • so when my cancer starts to grow again,

  • now I'm a rare cancer.

  • So how are going to find people that are just like me

  • out there in the world?

  • >> So your point about rare being,

  • there's no comparable data to look at benchmarking,

  • so that's the challenge. >> Yeah, no given hospital

  • will ever have enough data in this new molecular

  • genomics-guided medicine world to solve my problem,

  • because the doctors are going to want to look,

  • and they're going to say, "Who out there looks just like Bryce

  • "from a DNA perspective, uniquely?

  • "What treatments were given to people like that,

  • "and what were the outcomes?"

  • The only way we're going to solve that

  • is as all these centers and hospitals start amassing data,

  • it has to work together, it has to collaborate in a way

  • that preserves patient privacy,

  • and also protects individual IP.

  • >> Okay, so Bryce, let me ask you a question,

  • if you could put a bumper sticker or a soundbite around

  • what AI means to this evolution innovation

  • around fighting cancer and using data and technology,

  • what is the impact of AI to this?

  • >> So, where I'm kind of going with this analogy

  • is that without artificial intelligence

  • to sift through my data, and all the other

  • millions of potential cancer patients

  • to start getting DNA data, humans can't do it,

  • it's impossible, humans will not have the mental ability

  • to sift through reams and reams of DNA data

  • that exists for every patient out there

  • to look at treatments and outcomes and synthesize it,

  • we can't do it.

  • The only way someone like me will survive into the long term

  • will be through artificial intelligence.

  • Without it, I will extend my life, but I won't turn cancer

  • into a manageable disease without AI.

  • >> So the AI will extend your life.

  • >> Because AI is going to solve the problems

  • that humans can't.

  • When you have the biggest of big data--

  • >> Love that soundbite, love that, say that again!

  • AI solves the problems that--

  • >> AI is going to solve the problems that humans can't,

  • they simply, humans don't have the capability

  • to look at the entire genome, and all this other genomic,

  • molecular, proteomic, all this other data,

  • we can't make sense of it! >> Alright, so let me

  • throw something out at you, 'cause I agree 100%,

  • but also, there's a humanization factor,

  • 'cause now algorithms are also biased by humans,

  • so what's your thoughts, given your experience,

  • the role of the human race, actual human beings,

  • that have a pulse, not robots or algorithms?

  • >> Yeah, so let me give you a real practical example.

  • So, the way that we fought my cancer

  • was through a targeted therapy.

  • Molecular abnormality, targeted drug.

  • The other way that people are fighting cancer

  • is through immunotherapy.

  • Wake up the immune system to fight it.

  • Guess what?

  • Right now, there are 800 combination therapies going on

  • with immunotherapy to try to stop people's cancer.

  • How the heck are we going to know

  • what is the right combination for each person out there?

  • Unless we have like an algorithm marketplace

  • where people are creating these,

  • and taking in predictive biomarkers,

  • prognostic biomarkers, looking at all the data,

  • and then pushing a button to help an oncologist decide

  • which of the 800 combos to use, we'll never get there.

  • So-- >> That's awesome.

  • So let me ask you a question, so for people watching

  • that are younger, like my daughter, she's 16,

  • my other daughter's a premed, she's a sophomore in college,

  • they're like, school's like old,

  • like, school's like linear, they get classes,

  • but this younger generation are hungry for data,

  • they're hungry, they want to, they're young,

  • they're what people do, they disrupt,

  • they're bomb throwers, they want to create value,

  • and so their incentive to go after cancer,

  • and the means are out there, cancer cells,

  • we all have relatives who have died of cancer,

  • it's a sucky situation.

  • There's a motivated force out there

  • of scientists, and young people.

  • How do they get involved?

  • How would you look at, based on your experience,

  • and your experience, obviously, you got these songs here,

  • but on a more practical level, what discovery,

  • what navigation can someone take in their life

  • to just get involved, not a catalog, not the courseware.

  • >> I think, so there's a number of different things

  • that can happen, if you look at the precision medicine

  • landscape, and you start with a patient,

  • patients don't understand this.

  • "Genomic what?

  • "Sequencing what?"

  • They don't understand that there's a new way

  • to fight cancer, so guess what's going to become

  • a 20% per year growth rate job in the next 10 to 20 years?

  • Genomics counselors.

  • You don't have to be a doctor, but you have

  • to be able to understand enough about biology--

  • >> And math. >> To be able to offload

  • doctors, and have a discussion with patients to say,

  • "Let me explain something to you.

  • "There's a way to understand your disease, it's in DNA,

  • "this is what it means," and then help them

  • guide them into new clinical trials

  • and other therapy that's got it by that,

  • huge growth opportunity for kids.

  • >> But also, it's compounded by the fact

  • we just said earlier, where these become

  • rare cases on paper, are also need to be aggregated

  • into a database of some sort so you can understand the data,

  • so there's also a data science angle here.

  • >> Absolutely, and it's not just cancer, by the way,

  • I mean, little kids in the NICU,

  • pediatric ailments.

  • Have you ever know anybody who's got a kid

  • with a very rare neurodevelopmental disorder,

  • and the parents are on a diagnostic odyssey for 10 years,

  • they can't figure out what it is?

  • So they go from specialist to specialist, specialist,

  • $100,000 dollars later, guess what, the answer's in the DNA.

  • >> DNA sequencing, number one.

  • >> DNA sequencing, number one, and then,

  • once you start sequencing that,

  • you got to make sense of all this data,

  • so there's going to be tons of jobs,

  • not only in biology, but in analytics,

  • to take all this data and start finding--

  • >> Alright, we got a few minutes left,

  • I want to get a plugin for your little album here,

  • it's called FACTS, Fighting Against Cancer Through Song.

  • >> So here's the story on that.

  • So, when you go through something that could be terminal,

  • it's really nice when you can have something productive

  • to channel that energy.

  • So for me, to be able to channel

  • feelings of sadness and frustration,

  • I started writing songs.

  • Music was therapeutic for me.

  • I took that, started collaborating

  • with a bunch of musicians throughout Portland,

  • including cancer survivors, and we said,

  • why don't we use music as a way to reach people

  • about a new message of how to fight cancer?

  • So we created that, I have an organization

  • that is raising awareness for a new way to fight cancer,

  • and raising funds, to bring sequencing to more people.

  • >> So the URL is factsmovement.com,

  • so factsmovements.com, check it out.

  • Okay, now, I'm so impressed with you,

  • one, you are on a terminal track, you go back to work.

  • >> But I don't look like I'm terminal!

  • >> You look great, you look great.

  • Now, you're at Intel, Intel's got technology,

  • you harness it, now, you're on a mission now,

  • your passion, it's obvious, the songs,

  • now, what's going on in Intel,

  • 'cause now you're out doing the Intel thing,

  • gives us the Intel update.

  • >> I can talk to you about this precision medicine,

  • it's personalizing diagnostic and treatment plan,

  • which I've already done, I could talk to you

  • about other things that we're doing

  • to help hospitals transform.

  • Predictive clinical analytics,

  • let's look at something like rapid response teamed events.

  • Have you ever been in the hospital

  • and heard the alarms go off?

  • That's usually somebody having a heart attack unexpected.

  • Data is out there, if you look at all the data

  • about people that have had rapid response teams events,

  • we can create predictive signals

  • to actually predict that an hour before it would happen!

  • So predictive clinical analytics,

  • and enabling hospitals to look at populations as a whole

  • to treat them better in this new value-based care,

  • is a technology-driven thing, so we're working

  • on that as well.

  • Yeah. >> Well Bryce,

  • thanks for coming on to theCUBE, we appreciate it,

  • really inspirational, great to meet you in person,

  • and I'm looking forward to following up with you

  • when you get back to Portland,

  • we'll get our gang in Palo Alto to get you on the horn

  • Skype in, and keep in touch, really inspirational,

  • but more importantly, this is very relevant,

  • and the technology's now surfacing to change,

  • not only people's lives in the sense of saving them,

  • but other great things.

  • >> And I'm so proud to be able to work

  • for a company that is using its brand

  • and its technology to basically change people's lives,

  • it's amazing. >> Bryce Olson,

  • my hero here at South by Southwest, amazing story,

  • really, really, you can choose to be a victim

  • or you can choose to go after it,

  • so excited to have met you, it's theCUBE,

  • breaking it all down here at South by Southwest

  • at Intel's AI Lounge, it's hopping,

  • music tonight, music tomorrow night,

  • CUBE tomorrow, panels, AI changing the future

  • powered by Intel, #IntelAI, I'm John Furrier,

  • you're watching theCUBE, thanks for watching,

  • we'll see you tomorrow.

>> Announcer: Live from Austin Texas, it's theCUBE,

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