Jun Wang: How digital DNA could help you make better health choices
Jun Wang: Hogyan hozhatunk digitális DNS-sel jobb döntéseket
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,
for the next 25 years.
a következő 25 évben is.
when I was still in undergraduate school.
computers as big calculators,
számolásra használták a számítógépet,
just to do one thing:
a valódi katicáktól:
for a twenty-year-old.
egy húszéves fiatalnak.
at all of this wonderful world,
its own learning program.
represent different survival strategies.
megvalósító saját genomja van.
of years of evolution.
evolúció formálta őket:
every species' ancestor
the institute to read them.
megfejtésére intézetet alapítok.
of the prior animal genomes in the world.
több mint a felét elolvastuk.
one species many, many times ...
a very specific haplotype
a tibeti lakosságra jellemző
of positive selection of Tibetans
a tibetiek pozitív alkalmazkodását
of integration of Denisovans,
a gyenyiszovai emberrel
keveredés eredménye.
why we need to read those genomes.
of learning process
for the millions of years.
it can give you a lot of information --
egy bizonyos gén defektusáról.
monogenetic disorders.
and dosage needs to be used
milyen adagolásban kell szednünk,
ha rákosak vagyunk.
but look at that:
de nézzenek a kivetítőre!
adult population had diabetes.
változhat meg 30 év alatt;
could develop totally differently.
eltérően fejlődhetnek.
very obese, the other is not.
and the other does not.
in a very stressed environment.
környezetről nem beszéltem.
hogy bizonyos körülmények miatt
of certain diseases when you are born.
a statikus kockázat bizonyos betegségekre.
or decrease the risk of certain diseases.
bizonyos kórok kockázatát.
where you are on the curve?
are you facing every day?
over your life journey?
amin nem változtathatnak
the decision you've made,
multiple options on me,
több lehetőséget önmagunkon,
on the consequence,
előrejelezni a döntések következményeit,
the digital lady beetles
digitális önmagamat...,
network could become
and complicated there.
on that digital me --
ezen a digitális önmagamon,
whatever is good for me.
digital me on the planet.
a legátfogóbb digitális énem.
on me, on myself.
I have a genetic risk of gout
köszvényre van hajlamom
covering you, or in you.
baktériumokra és vírusokra.
all the smart devices there --
to track all of your activities there.
kövessük tevékenységünket.
just has been flushed into the water.
húzunk le a vécén minden nap.
everything around you
köröttünk mindent megmérni
I have a genetic defect.
all the medicine books,
könyv átnézése után azt mondta:
drink burdock tea" --
of wisdom worked for me.
knowledge in the world
or personalized enough for yourself.
vagy személyre szóló.
that digital me work ...
hogy a digitális ént munkára fogjuk:
of questions about yourself:
föltenniük magukról:
supposedly to live longer?
with the folks here,
a different speech.
glucose-level reactions
of controlled experiments,
magamon végeznem,
food ingredients on me,
a különböző élelmiszer-összetevők,
the precise nutrition for me,
all the Chinese old wisdom
az összes ősi kínai javallatot,
and healthier.
sokáig és egészségesebben.
with six partners of mine.
dramatically over 24 hours there.
gyökeresen megváltozott.
totally different at the very beginning.
eleve másmilyen volt.
an interesting treatment in the future
a rák és hasonló kórok
don't want to try,
nem akarnak megkóstolni,
from a healthier individual,
vízzel kevert ürülékét,
of bacterias and drink it,
all possible conditions.
all kinds of experiments at all ...
learning programs on this planet.
hétmilliárd tanulóprogram van.
is running in different conditions
eltérő feltételekkel folyik,
I wrote an essay in "Science"
10-year anniversary.
10. évfordulójára.
a maguk és mások kedvéért!"
into a digital we,
digitális "mi"-vé változtatjuk,
from their experience,
a digital me by themselves
kialakíthatják a digitális "mi"-t,
totally different with a digital me.
hasonlítani a digitális énre.
their own digital me,
a maga digitális énjét,
will you learn more about you,
meg többet magukról,
at the very beginning:
One quick question for you.
a személyre szabott orvoslás
technical possibilities
they're only going to be affordable
all the sequencing and so forth.
that the knowledge that you get
pretty quickly disseminated
when I co-founded BGI,
megalapítottuk a BGI-t,
of the company there,
per human genome.
100 millió dollárt tett ki.
for a human genome.
is to get more people to benefit from it.
részesüljenek az előnyeiből.
it's the same thing.
to digitize a person.
that urgently need that.
akiknek sürgős szükségük van rá.
this merging of the technology,
of why I founded iCarbonX,
could have the benefit.
élvezhesse az eljárás előnyeit.
elite health services for few,
kiválasztott orvosi ellátása,
much more cost effective --
költséghatékonyabb legyen.
from some early adopters,
magukévá az ötletet,
everybody's benefit.
it's got to be true to say
tudományos koponyája.
scientific minds on the planet,
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