Jun Wang: How digital DNA could help you make better health choices
ジュン・ワン: デジタルDNAがより良い健康の選択を助ける
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.
皆さんに質問を提起したいと思います
for more than 25 years,
for the next 25 years.
それは続くでしょう
when I was still in undergraduate school.
computers as big calculators,
大きな電卓として扱っていましたが
学習することを教え始めました
just to do one thing:
1つのことを学ぼうと試みました
for a twenty-year-old.
非常に印象的な学習体験でした
at all of this wonderful world,
its own learning program.
あることが分かります
ジノムであり
represent different survival strategies.
それぞれに生存戦略を持ち
of years of evolution.
every species' ancestor
the institute to read them.
共同創立することにしました
of the prior animal genomes in the world.
世界の半分以上の動物ジノムを
one species many, many times ...
a very specific haplotype
EPAS1と呼ばれる遺伝子領域にある
of positive selection of Tibetans
正の自然選択の
of integration of Denisovans,
あるいはデニソワ人由来の個人が
why we need to read those genomes.
ジノムを解読する理由です
of learning process
ジノムがどのような学習プロセスを
for the millions of years.
it can give you a lot of information --
多くのことが分かります
monogenetic disorders.
単一遺伝子疾患なども分かります
and dosage needs to be used
特にがんになった時に伝えてくれるでしょう
but look at that:
これを見てください
adult population had diabetes.
成人人口の0.67%だけでした
could develop totally differently.
全く違った発達をするんです
very obese, the other is not.
もう1人はそうではなく
and the other does not.
もう一方はしないというように
in a very stressed environment.
影響は言うまでもありません
of certain diseases when you are born.
特定の病気のリスクを持っています
or decrease the risk of certain diseases.
疾患リスクを増減します
where you are on the curve?
どこにいるかを知っていますか?
are you facing every day?
over your life journey?
描くために必要なのでしょうか?
the decision you've made,
変えることはできません
multiple options on me,
実際に私の体でシミュレートしてみて
on the consequence,
それに基づいて
できるでしょうか?
また浮かびました
the digital lady beetles
シミュレートしようと
network could become
and complicated there.
複雑になると思います
on that digital me --
whatever is good for me.
digital me on the planet.
「デジタルの私」を持っています
on me, on myself.
I have a genetic risk of gout
私は痛風の遺伝的リスクを
covering you, or in you.
all the smart devices there --
駆使する必要があります
スマートテーブル
to track all of your activities there.
それらであなたの活動を追跡します
just has been flushed into the water.
トイレに流されてしまいます
everything around you
データにする必要があります
I have a genetic defect.
私に遺伝的欠陥があると教えてくれました
all the medicine books,
drink burdock tea" --
と教えてくれます
of wisdom worked for me.
効果があったんです
knowledge in the world
or personalized enough for yourself.
個別に提供されることなど不可能です
that digital me work ...
実現するための唯一の手段は...
of questions about yourself:
多くの質問をしなければなりません
分からないでしょうけれど
supposedly to live longer?
摂取すればどうなる?
with the folks here,
a different speech.
glucose-level reactions
個人で完全に異なるということです
of controlled experiments,
food ingredients on me,
the precise nutrition for me,
all the Chinese old wisdom
and healthier.
見つけたかったのです
with six partners of mine.
7日間の断食をしました
dramatically over 24 hours there.
劇的に変化しました
totally different at the very beginning.
始めに全く異なっていてもです
an interesting treatment in the future
がんのようなものの治療法に
don't want to try,
治療法もあります
from a healthier individual,
健康な人の糞便水を飲むような
of bacterias and drink it,
見つけて飲んだら
all possible conditions.
非現実的です
all kinds of experiments at all ...
到底無理です
learning programs on this planet.
つまり人々がいます
is running in different conditions
プログラムを走らせています
できないでしょうか?
I wrote an essay in "Science"
ヒトジノム発見の10周年を祝う
10-year anniversary.
自分自身をデジタル化しよう」
into a digital we,
「デジタルの皆」になる時
作る時
from their experience,
学ぶことができたときに
学ぶことができたときに
a digital me by themselves
totally different with a digital me.
「デジタルの私」により生まれ変わります
their own digital me,
will you learn more about you,
自分について学びを深めるのです
at the very beginning:
One quick question for you.
簡単な質問をさせてください
可能性を待ちわびながらも
technical possibilities
they're only going to be affordable
手が届くものになるのではないか
all the sequencing and so forth.
多くの費用がかかります
that the knowledge that you get
限られた人数からの知識が
pretty quickly disseminated
when I co-founded BGI,
私がBGIを共同設立し
of the company there,
per human genome.
1億ドルから始まり
for a human genome.
is to get more people to benefit from it.
その恩恵を受けられる事が目標です
it's the same thing.
to digitize a person.
100万ドルはかかるでしょう
that urgently need that.
無料で使えるべきです
this merging of the technology,
of why I founded iCarbonX,
iCarbonX を設立した理由でした
could have the benefit.
elite health services for few,
ヘルスサービスではなく
much more cost effective --
高めるものなんですね
from some early adopters,
everybody's benefit.
it's got to be true to say
scientific minds on the planet,
科学者の1人ですね
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