Jun Wang: How digital DNA could help you make better health choices
준 왕(Jun Wang): 더 나은 건강을 위한 디지털 DNA 의 활용법
At iCarbonX, Jun Wang aims to establish a big data platform for health management. Full bio
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to pose you a question.
for more than 25 years,
이 질문에 대한 답을 찾아왔었는데
for the next 25 years.
저의 고민은 계속될 것 같습니다.
when I was still in undergraduate school.
computers as big calculators,
계산의 용도로만 사용할 때
학습 능력을 갖도록 했습니다.
just to do one thing:
학습하도록 했습니다.
for a twenty-year-old.
아주 놀라운 경험이었습니다.
at all of this wonderful world,
its own learning program.
있다는 걸 알 수 있습니다.
규칙이라 할 수 있죠.
represent different survival strategies.
종마다 상이한 게놈으로부터 비롯되는데,
of years of evolution.
진화의 결과입니다.
every species' ancestor
바로 상호작용이 이뤄진 거죠.
the institute to read them.
공동으로 설립했습니다.
of the prior animal genomes in the world.
절반 이상을 해독했습니다.
one species many, many times ...
수도 없이 시퀀싱했어요.
여러번 시퀀싱 했는데
이해하실 수 없겠지만
a very specific haplotype
단상형 유전자를 나타냅니다.
of positive selection of Tibetans
가장 뚜렷한 양성선택의 특징으로
of integration of Denisovans,
데니소비언, 혹은 그 유사종이
생겨난 결과입니다.
why we need to read those genomes.
유전자를 해독해야 하는 이유입니다.
of learning process
for the millions of years.
it can give you a lot of information --
많은 정보를 얻어낼 수 있습니다.
monogenetic disorders.
단성 유전자 장애도 알아낼 수 있죠.
and dosage needs to be used
알게 될 수도 있겠죠.
but look at that:
될 수 있겠지만, 보세요
중국은 매우 가난했어요.
adult population had diabetes.
제 2형 당뇨병 환자였죠.
could develop totally differently.
발달할 수 있습니다.
very obese, the other is not.
다른 쪽은 아니게 된다던가
and the other does not.
다른 한 명은 아닐 수 있죠.
in a very stressed environment.
말할 필요도 없죠.
저는 10년 전에 이런저런 이유로
of certain diseases when you are born.
통계학적으로 더 클 수는 있겠지만
or decrease the risk of certain diseases.
높이거나 줄이게 됩니다.
where you are on the curve?
어느 부분에 있는지 알고 있나요?
are you facing every day?
over your life journey?
옳은 결정일까요?
미래엔 가능할 지도 모르죠.
the decision you've made,
바꿀 수는 없습니다.
multiple options on me,
on the consequence,
the digital lady beetles
디지털 무당벌레를 만들어서
network could become
and complicated there.
on that digital me --
whatever is good for me.
가장 좋은 걸 선택하는거죠.
digital me on the planet.
'디지털 나'를 가지고 있고
on me, on myself.
엄청 많은 돈을 투자했는데
I have a genetic risk of gout
신경통을 앓을 위험이 높다고 해요.
covering you, or in you.
바이러스를 살펴봐야 해요.
all the smart devices there --
스마트 주택, 스마트 탁자
to track all of your activities there.
모든 활동을 추적하는 거예요.
just has been flushed into the water.
물에 흘러가듯 버려지는데
everything around you
I have a genetic defect.
유전적 결함이 있다고 말했죠.
all the medicine books,
의학서적을 다 찾아보고
drink burdock tea" --
라고 합니다.
세 달 간 마셨습니다.
of wisdom worked for me.
지혜가 저한텐 먹혔어요.
아닐 겁니다.
knowledge in the world
or personalized enough for yourself.
없을 거에요.
that digital me work ...
of questions about yourself:
던져야 합니다.
저 스스로는 느껴지네요.
supposedly to live longer?
with the folks here,
비디오 리허설을 했었는데요.
a different speech.
시달렸으니까요.
받게 되기를 바랍니다.
glucose-level reactions
of controlled experiments,
food ingredients on me,
the precise nutrition for me,
all the Chinese old wisdom
and healthier.
with six partners of mine.
단식을 한 거예요.
dramatically over 24 hours there.
급격히 변화했습니다.
totally different at the very beginning.
아주 달랐는데도 말이에요.
an interesting treatment in the future
암이나 그런 질병에 대한
되지 않을까 싶어요.
don't want to try,
from a healthier individual,
마신다든가 하는 것처럼요.
느끼게 해준다고 해도요
나온 내용입니다.
여전히 싫습니다.
of bacterias and drink it,
all possible conditions.
너무 어렵네요.
all kinds of experiments at all ...
learning programs on this planet.
배움 프로그램이 있죠.
is running in different conditions
서로 다른 조건에서 실행되고
I wrote an essay in "Science"
에세이를 썼어요.
10-year anniversary.
당신과 모두를 위해서"
into a digital we,
디지털 우리로 바꿀 때,
형성하려 할 때,
from their experience,
a digital me by themselves
totally different with a digital me.
완전 다른 것이 될 것입니다.
만들어질 수 있죠.
their own digital me,
만들어야 합니다.
will you learn more about you,
더 많이 알 수 있을 뿐 아니라
at the very beginning:
알 수 있어요.
One quick question for you.
technical possibilities
기다려지긴 하지만
they're only going to be affordable
그 가격을 감당할 수 있는건
all the sequencing and so forth.
매우 많은 돈이 드니까
that the knowledge that you get
pretty quickly disseminated
생각하시나요?
when I co-founded BGI,
of the company there,
per human genome.
시작했었는데
for a human genome.
is to get more people to benefit from it.
수혜자가 되도록 하기 위함이었고요.
it's the same thing.
to digitize a person.
백만 달러가 들 수도 있겠죠.
생각합니다.
that urgently need that.
무료가 되어야 해요.
this merging of the technology,
of why I founded iCarbonX,
could have the benefit.
elite health services for few,
엘리트 건강서비스를 만드는 것이 아니라
much more cost effective --
이용 가능하도록 만들어야 겠군요.
from some early adopters,
사람으로부터 시작했습니다.
everybody's benefit.
모든 사람을 위한 일입니다.
it's got to be true to say
이 세상에서
scientific minds on the planet,
과언이 아닌 것 같습니다.
ABOUT THE SPEAKER
Jun Wang - Genomics researcherAt iCarbonX, Jun Wang aims to establish a big data platform for health management.
Why you should listen
In 1999, Jun Wang founded the Bioinformatics Department of Beijing Genomics Institute (BGI, now known as BGI Shenzhen), one of China’s premier research facilities. Until July 2015, Wang led the institution of 5,000+ people engaged in studies of genomics and its informatics, including genome assembly, annotation, expression, comparative genomics, molecular evolution, transcriptional regulation, genome variation analysis, database construction as well as methodology development such as the sequence assembler and alignment tools. He also focuses on interpretation of the definition of "gene" by expression and conservation study. In 2003, Wang was also involved in the SARS genome analysis and the silkworm genome assembly and analysis in cooperation with Chinese Southeast Agricultural University. The Pig Genome Project was completed at BGI under his leadership, as well as the chicken genome variation map and the TreeFam in collaboration with the Sanger Institute. In 2007, he and his group finished the first Asian diploid genome, the 1000 genome project, and many more projects. He initiated the "million genomes project" which seeks to better understand health based on human, plant, animal and micro-ecosystem genomes.
In late 2015, Wang founded a new institute/company, iCarbonX, aiming to develop an artificial intelligence engine to interpret and mine multiple health-related data and help people better manage their health and defeat disease.
Jun Wang | Speaker | TED.com