How digital DNA could help you make better health choices | Jun Wang

66,257 views ・ 2017-10-02

TED


請雙擊下方英文字幕播放視頻。

譯者: Lilian Chiu 審譯者: 易帆 余
00:12
Today I'm here, actually, to pose you a question.
0
12772
2568
今天我來這裡其實 是要問各位一個問題。
00:15
What is life?
1
15876
1150
生命是什麼?
00:17
It has been really puzzling me for more than 25 years,
2
17560
3663
這個問題困惑了我 25 年,
00:21
and will probably continue doing so for the next 25 years.
3
21247
3582
可能在接下來的 25 年 繼續困惑著我。
00:25
This is the thesis I did when I was still in undergraduate school.
4
25594
4571
這是我在大學時做的論文。
00:31
While my colleagues still treated computers as big calculators,
5
31255
6942
當我的同學仍然把電腦 視為是大型計算機時,
00:38
I started to teach computers to learn.
6
38221
2301
我就開始教電腦學習了。
00:41
I built digital lady beetles
7
41381
3383
我打造了數位瓢蟲,
00:44
and tried to learn from real lady beetles, just to do one thing:
8
44788
4587
試圖向真實的瓢蟲學習, 讓它們只做一件事:
00:49
search for food.
9
49399
1150
尋找食物。
00:51
And after very simple neural network --
10
51141
2774
經過了非常簡單的神經網路──
00:53
genetic algorithms and so on --
11
53939
2271
基因演算法等等──
00:56
look at the pattern.
12
56234
1357
看這個模型,
00:57
They're almost identical to real life.
13
57615
3022
它們幾乎和真實的生命一模一樣。
01:01
A very striking learning experience for a twenty-year-old.
14
61797
3888
對一個 20 歲的小伙子來說 這是很驚人的學習經驗。
01:07
Life is a learning program.
15
67423
2907
生命本身就是一個學習程式。
01:12
When you look at all of this wonderful world,
16
72079
3533
這個大千世界,
01:15
every species has its own learning program.
17
75636
3192
每個物種都有自己的學習程式。
01:19
The learning program is genome,
18
79405
2761
這學習程式就是基因組,
01:22
and the code of that program is DNA.
19
82190
3604
程式碼就是 DNA。
01:26
The different genomes of each species represent different survival strategies.
20
86977
5977
每個物種的不同基因組 代表著不同的生存策略。
01:33
They represent hundreds of millions of years of evolution.
21
93438
4214
代表著數億年的進化演變,
01:38
The interaction between every species' ancestor
22
98699
3792
記錄了每個物種的祖先
01:42
and the environment.
23
102515
1970
與環境之間的互動。
01:45
I was really fascinated about the world,
24
105970
2439
我完全迷上了這個世界,
01:48
about the DNA,
25
108433
1182
迷上了 DNA,
01:49
about, you know, the language of life,
26
109639
2943
迷上了,你知道的,生命的語言,
01:52
the program of learning.
27
112606
1646
學習的程式。
01:54
So I decided to co-found the institute to read them.
28
114587
4733
所以我決定找人共同創辦一個 讀取基因組的機構。
01:59
I read many of them.
29
119344
1362
我讀了很多基因組。
02:01
We probably read more than half of the prior animal genomes in the world.
30
121409
4129
我們可能解讀了 世界上超過一半的動物基因組。
02:06
I mean, up to date.
31
126135
1404
我是指,與時俱進。
02:09
We did learn a lot.
32
129263
1235
我們學到了很多。
02:11
We did sequence, also, one species many, many times ...
33
131117
3868
我們對一個物種進行了 多次基因定序,做了許多次……
02:15
human genome.
34
135009
1159
即人類基因組。
02:16
We sequenced the first Asian.
35
136192
1762
我們完成了第一個 亞洲人基因組的定序。
02:17
I sequenced it myself many, many times,
36
137978
2838
剛好利用平台的優勢,
02:20
just to take advantage of that platform.
37
140840
2559
我對自己的基因也進行了多次定序。
02:24
Look at all those repeating base pairs:
38
144788
2906
看著所有那些重覆的鹼基對:
02:27
ATCG.
39
147718
1468
ATCG。 (註:四種 DNA 鹼基)
02:29
You don't understand anything there.
40
149210
1914
你幾乎無法從中讀懂任何含義。
02:31
But look at that one base pair.
41
151148
1594
但看看這一組鹼基對。
02:32
Those five letters, the AGGAA.
42
152766
2523
AGGAA,這五個字母。
02:35
These five SNPs represent a very specific haplotype
43
155704
3477
這五個 SNP(單核苷酸多態性) 代表了一種非常特別的單倍型,
02:39
in the Tibetan population
44
159205
1841
它們是藏族人的身體中
02:41
around the gene called EPAS1.
45
161070
1999
一種叫做 EPAS1 的基因。
02:43
That gene has been proved --
46
163093
1731
這個基因已被證明是──
02:44
it's highly selective --
47
164848
1263
高度選擇性的結果──
02:46
it's the most significant signature of positive selection of Tibetans
48
166135
4347
這是藏族人對高海拔適應性 進行正向選擇的重要指標。
02:50
for the higher altitude adaptation.
49
170506
1682
02:52
You know what?
50
172922
1214
你知道嗎?
02:54
These five SNPs were the result of integration of Denisovans,
51
174160
5787
這五個 SNP 是來自 滅絕的丹尼索瓦人,
02:59
or Denisovan-like individuals into humans.
52
179971
3252
或與丹尼索瓦人有親緣關係的 個體 DNA 與人類雜交的結果。
03:04
This is the reason why we need to read those genomes.
53
184049
2531
這就是為什麽我們需要 讀這些基因組的原因。
03:06
To understand history,
54
186604
1381
它可以讓你了解歷史,
03:08
to understand what kind of learning process
55
188009
4098
了解基因組這套學習程序
03:12
the genome has been through for the millions of years.
56
192131
3374
在數百萬年中經歷了什麽樣的演變。
03:17
By reading a genome, it can give you a lot of information --
57
197318
2923
透過閱讀基因組, 你能得到許多資訊──
03:20
tells you the bugs in the genome --
58
200265
1673
它能告訴你基因組中的一些錯誤──
03:21
I mean, birth defects, monogenetic disorders.
59
201962
3180
我指的是像天生缺陷、 單基因遺傳病。
03:25
Reading a drop of blood
60
205166
1306
而僅僅需要一滴血的判讀,
03:26
could tell you why you got a fever,
61
206496
2108
就能告訴你為什麼會發燒,
03:28
or it tells you which medicine and dosage needs to be used
62
208628
3104
或告訴你在你生病,
03:31
when you're sick, especially for cancer.
63
211756
2721
特別是得了癌症時, 需要服用什麼藥、多少劑量。
03:35
A lot of things could be studied, but look at that:
64
215495
3120
可以研究的東西很多,但看看這個:
03:38
30 years ago, we were still poor in China.
65
218639
2960
三十年前,我們中國還很窮。
03:42
Only .67 percent of the Chinese adult population had diabetes.
66
222928
3662
只有 0.67% 的 中國成年人有糖尿病。
03:47
Look at now: 11 percent.
67
227007
2143
看看現在:11%。
03:49
Genetics cannot change over 30 years --
68
229697
3128
遺傳學不會在三十年間改變──
03:52
only one generation.
69
232849
1261
才一個世代而已。
03:54
It must be something different.
70
234725
1627
一定有什麼其他原因。
03:56
Diet?
71
236376
1198
飲食嗎?
03:57
The environment?
72
237598
1150
環境嗎?
03:59
Lifestyle?
73
239372
1150
生活方式嗎?
04:01
Even identical twins could develop totally differently.
74
241219
4242
即使是同卵雙生的雙胞胎 也可能有完全不同的發展。
04:06
It could be one becomes very obese, the other is not.
75
246879
2877
可能其中一個極肥胖, 另一個不會。
04:10
One develops a cancer and the other does not.
76
250854
2502
其中一個得了癌症,另一個沒有。
04:13
Not mentioning living in a very stressed environment.
77
253380
4905
更不用提處在壓力很大的環境中了。
04:19
I moved to Shenzhen 10 years ago ...
78
259386
2595
我十年前搬到深圳…...
04:22
for some reason, people may know.
79
262005
2738
有些人可能知道理由。
04:25
If the gene's under stress,
80
265789
1939
如果基因在壓力下,
04:27
it behaves totally differently.
81
267752
1667
它的行為會全然不同。
04:30
Life is a journey.
82
270683
1381
人生是一趟旅程。
04:32
A gene is just a starting point,
83
272637
2508
基因只是個起始點,
04:35
not the end.
84
275169
1150
不是終點。
04:37
You have this statistical risk of certain diseases when you are born.
85
277106
4488
在你出生時,就註定會有 某些疾病的風險。
04:42
But every day you make different choices,
86
282212
3563
但,你每天做出不同的選擇,
04:45
and those choices will increase or decrease the risk of certain diseases.
87
285799
4538
那些選擇會增加或滅少 某些疾病的風險。
04:51
But do you know where you are on the curve?
88
291248
2259
但你知道你在曲線上的哪個點嗎?
04:54
What's the past curve look like?
89
294263
2159
過去的曲線是什麼樣子的?
04:56
What kind of decisions are you facing every day?
90
296779
2465
你每天在面對的是什麼樣的決策?
04:59
And what kind of decision is the right one
91
299581
2467
什麼樣的決策才是對的,
05:02
to make your own right curve over your life journey?
92
302072
4234
才能為你人生旅程產生出對的曲線?
05:07
What's that?
93
307265
1150
那是什麼?
05:09
The only thing you cannot change,
94
309140
1969
你唯一無法改變的,
05:11
you cannot reverse back,
95
311133
2181
你無法逆轉的,
05:13
is time.
96
313338
1228
就是時間。
05:14
Probably not yet; maybe in the future.
97
314590
2001
目前還不能,但將來不一定。
05:16
(Laughter)
98
316615
1110
(笑聲)
05:17
Well, you cannot change the decision you've made,
99
317749
2819
你無法改變你已做的決定,
05:20
but can we do something there?
100
320592
1541
但我們能不能做點什麼?
05:22
Can we actually try to run multiple options on me,
101
322463
5102
我們能否對自己測試多個選項,
05:27
and try to predict right on the consequence,
102
327589
3559
試著預測正確的結果,
05:31
and be able to make the right choice?
103
331172
2183
以做出正確的選擇?
05:33
After all,
104
333973
1172
畢竟,
05:35
we are our choices.
105
335169
1852
我們就是我們的選擇所決定的。
05:38
These lady beetles came to me afterwards.
106
338233
2574
這些瓢蟲後來啟發了我。
05:41
25 years ago, I made the digital lady beetles
107
341462
3463
25 年前,我做了數位瓢蟲,
05:44
to try to simulate real lady beetles.
108
344949
1784
試圖模擬自然界的真實瓢蟲。
05:47
Can I make a digital me ...
109
347323
1785
我是否可以同樣做出數位化的我……
05:49
to simulate me?
110
349717
1324
來模擬真實的我?
05:51
I understand the neural network could become
111
351775
2561
我當然明白其中的神經網絡可能會
05:54
much more sophisticated and complicated there.
112
354360
3086
更精密且複雜許多。
05:57
Can I make that one,
113
357470
1554
但我能否做到,
05:59
and try to run multiple options on that digital me --
114
359048
3882
然後試著用那個數位化的我 來測試多重選項……
06:02
to compute that?
115
362954
1260
來計算出不同的選擇結果?
06:04
Then I could live in different universes,
116
364845
2963
那樣一來,我就可以
06:07
in parallel, at the same time.
117
367832
2764
同時活在不同的平行宇宙中。
06:10
Then I would choose whatever is good for me.
118
370968
2513
我就可以選擇對我最好的選項。
06:14
I probably have the most comprehensive digital me on the planet.
119
374063
3842
我的生命數據可能是 這個星球最全面的,
06:17
I've spent a lot of dollars on me, on myself.
120
377929
2657
我花了很多錢在我自己身上。
06:21
And the digital me told me I have a genetic risk of gout
121
381807
5206
這個數位化的我, 透過這些東西告訴我,
06:27
by all of those things there.
122
387037
1667
我有痛風的基因風險。
06:29
You need different technology to do that.
123
389074
2111
你需要不同的技術才能做到那樣。
06:31
You need the proteins, genes,
124
391209
1570
你需要蛋白質、基因,
06:32
you need metabolized antibodies,
125
392803
2526
你需要心陳代謝抗體,
06:35
you need to screen all your body
126
395353
2492
你需要掃瞄你的整個身體,
06:37
about the bacterias and viruses covering you, or in you.
127
397869
3624
來找出你身上或體內的細菌及病毒。
06:41
You need to have all the smart devices there --
128
401517
2788
你需要各種智慧的儀器──
06:44
smart cars, smart house, smart tables,
129
404329
3416
智慧車、智慧房屋、智慧桌子、
06:47
smart watch, smart phone to track all of your activities there.
130
407769
3329
智慧手表、智慧手機, 才能追縱你所有的活動。
06:51
The environment is important --
131
411122
1477
環境很重要──
06:52
everything's important --
132
412623
1221
一切都很重要──
06:53
and don't forget the smart toilet.
133
413868
1746
別忘了智慧馬桶。
06:55
(Laughter)
134
415638
1031
(笑聲)
06:56
It's such a waste, right?
135
416693
1774
這真的很浪費,對吧?
06:58
Every day, so much invaluable information just has been flushed into the water.
136
418491
5685
每天有那麼多個人資訊 就這樣被水沖掉了。
07:04
And you need them.
137
424616
1236
你需要這些資訊。
07:05
You need to measure all of them.
138
425876
1524
你需要測量這些資訊。
07:07
You need to be able to measure everything around you
139
427424
2623
你需要能夠測量你周遭的一切,
07:10
and compute them.
140
430071
1217
並計算它們。
07:11
And the digital me told me I have a genetic defect.
141
431933
3883
數位化的我告訴我,我有基因缺陷。
07:16
I have a very high risk of gout.
142
436617
2071
我的痛風風險很高。
07:19
I don't feel anything now,
143
439688
1597
我現在感覺不出來,
07:21
I'm still healthy.
144
441309
1372
我仍然很健康。
07:22
But look at my uric acid level.
145
442705
1501
但看看我的尿酸濃度。
07:24
It's double the normal range.
146
444230
1815
是正常範圍的兩倍。
07:26
And the digital me searched all the medicine books,
147
446739
2821
數位的我搜尋了所有的醫學書籍,
07:29
and it tells me, "OK, you could drink burdock tea" --
148
449584
4168
它告訴我:「好, 你可以喝牛蒡茶」──
07:33
I cannot even pronounce it right --
149
453776
1698
我甚至不會唸這個字──
07:35
(Laughter)
150
455498
1035
(笑聲)
07:36
That is from old Chinese wisdom.
151
456557
1814
那是來自中國的古老智慧。
07:38
And I drank that tea for three months.
152
458896
2759
我喝了那種茶三個月。
07:41
My uric acid has now gone back to normal.
153
461679
2541
我的尿酸現在回到正常了。
07:44
I mean, it worked for me.
154
464938
1675
我是說,它對我有效耶。
07:46
All those thousands of years of wisdom worked for me.
155
466637
2516
數千年的智慧對我有用。
07:49
I was lucky.
156
469177
1150
我很幸運。
07:50
But I'm probably not lucky for you.
157
470684
3508
但可能對於你們來說就不一定了。
07:55
All of this existing knowledge in the world
158
475009
2165
所有世界上既有的知識
07:57
cannot possibly be efficient enough or personalized enough for yourself.
159
477198
5824
對你自己而言都不夠有效或個人化。
08:03
The only way to make that digital me work ...
160
483692
2655
要讓這個數位化的我 有效的唯一方法,
08:07
is to learn from yourself.
161
487244
2057
就是要向你自己學習。
08:10
You have to ask a lot of questions about yourself:
162
490913
2404
你得要問很多關於你自己的問題:
08:13
"What if?" --
163
493341
1673
「假如……?」
08:15
I'm being jet-lagged now here.
164
495038
1803
我現在在這裡有時差。
08:16
You don't probably see it, but I do.
165
496865
1958
你們可能看不出來,但確實有。
08:19
What if I eat less?
166
499893
1792
如果我吃少一點呢?
08:21
When I took metformin, supposedly to live longer?
167
501709
2948
如果我吃抗糖尿病藥, 會不會比較長壽?
08:25
What if I climb Mt. Everest?
168
505394
1347
如果我去爬聖母峰呢?
08:26
It's not that easy.
169
506765
1302
那並不容易。
08:28
Or run a marathon?
170
508091
1330
或跑馬拉松呢?
08:29
What if I drink a bottle of mao-tai,
171
509952
2314
如果我喝一瓶茅臺酒呢?
08:32
which is a Chinese liquor,
172
512290
1336
那是種中國酒,
08:33
and I get really drunk?
173
513650
1194
且喝得非常醉呢?
08:34
I was doing a video rehearsal last time with the folks here,
174
514868
4429
上次我和這裡的人在做視訊排演,
08:39
when I was drunk,
175
519321
1269
當時我醉了,
08:40
and I totally delivered a different speech.
176
520614
2089
我的演說完全不一樣。
08:42
(Laughter)
177
522727
2869
(笑聲)
08:45
What if I work less, right?
178
525620
2301
如果我工作少一點呢?
08:47
I have been less stressed, right?
179
527945
1882
我就會少點壓力,對吧?
08:49
So that probably never happened to me,
180
529851
1810
那可能永遠不會發生在我身上,
08:51
I was really stressed every day,
181
531685
2098
我每天都非常有壓力,
08:53
but I hope I could be less stressed.
182
533807
1966
但我希望我能少點壓力。
08:56
These early studies told us,
183
536111
2179
早先的研究告訴我們,
08:58
even with the same banana,
184
538314
1983
即使是吃同樣的香蕉,
09:00
we have totally different glucose-level reactions
185
540321
2987
不同的個體也會有全然不同的
09:03
over different individuals.
186
543332
1386
葡萄糖濃度反應。
09:04
How about me?
187
544742
1150
那我呢?
09:06
What is the right breakfast for me?
188
546236
1998
一頓正確的早餐應該吃什麽?
09:08
I need to do two weeks of controlled experiments,
189
548258
2918
我需要做兩週的對照實驗,
09:11
of testing all kinds of different food ingredients on me,
190
551200
3745
測試各種不同食材的反應,
09:14
and check my body's reaction.
191
554969
2288
並檢查我的身體反應。
09:17
And I don't know the precise nutrition for me,
192
557281
3117
我不知道對我來說,精確的營養
09:20
for myself.
193
560422
1150
到底應該包含什麽。
09:23
Then I wanted to search all the Chinese old wisdom
194
563013
4364
接著我想要搜尋所有的中國古智慧,
09:27
about how I can live longer, and healthier.
195
567401
2992
了解我要如何活得更久、更健康。
09:30
I did it.
196
570709
1228
我去做了。
09:31
Some of them are really unachievable.
197
571961
2251
有些真的無法達成。
09:34
I did this once last October,
198
574562
2865
我是在去年十月做的,
09:37
by not eating for seven days.
199
577451
1718
七天沒有吃東西。
09:39
I did a fast for seven days with six partners of mine.
200
579969
4124
我和我的六個伙伴一同禁食七天。
09:44
Look at those people.
201
584598
1259
看看那些人。
09:45
One smile.
202
585881
1151
有一個人在笑。
09:47
You know why he smiled?
203
587056
1151
猜猜為何他會笑?
09:48
He cheated.
204
588231
1167
他作弊。
09:49
(Laughter)
205
589422
1000
(笑聲)
09:50
He drank one cup of coffee at night,
206
590446
3136
晚上他喝了一杯咖啡,
09:53
and we caught it from the data.
207
593606
1485
我們從資料中抓到的。
09:55
(Laughter)
208
595115
1045
(笑聲)
09:56
We measured everything from the data.
209
596184
2460
我們從資料中測量一切。
09:58
We were able to track them,
210
598668
2214
我們能夠追縱它們,
10:00
and we could really see --
211
600906
1558
我們真的能看到──
10:02
for example, my immune system,
212
602488
2001
比如,我的免疫系統,
10:04
just to give you a little hint there.
213
604513
1762
給各位一點小暗示。
10:06
My immune system changed dramatically over 24 hours there.
214
606299
4304
我的免疫系統在 24 小時 發生了巨大改變。
10:11
And my antibody regulates my proteins
215
611738
3133
而我的抗體為了適應這樣的變化,
10:14
for that dramatic change.
216
614895
1536
開始對我體內的蛋白質進行調節,
10:16
And everybody was doing that.
217
616455
1381
所有參與體驗的人都是如此,
10:17
Even if we're essentially totally different at the very beginning.
218
617860
3332
儘管每個人的免疫系統各不相同。
10:21
And that probably will be an interesting treatment in the future
219
621216
3045
這很可能是將來治療癌症
10:24
for cancer and things like that.
220
624285
1643
或類似疾病的一個有趣方法。
10:25
It becomes very, very interesting.
221
625952
1630
這件事變得越來越有趣。
10:28
But something you probably don't want to try,
222
628106
2701
但有些方法你可能未必想嘗試,
10:30
like drinking fecal water from a healthier individual,
223
630831
3676
比如去喝健康人的尿
10:34
which will make you feel healthier.
224
634531
1667
會讓你更健康。
10:36
This is from old Chinese wisdom.
225
636222
1715
這是來自古老中國的智慧。
10:37
Look at that, right?
226
637961
1436
你看,是吧?
10:39
Like 1,700 years ago,
227
639421
2166
大約 1700 年前,
10:41
it's already there, in the book.
228
641611
2280
書籍上就有這樣的記載了。
10:44
But I still hate the smell.
229
644428
1327
但我仍然很討厭那味道。
10:46
(Laughter)
230
646057
1150
(笑聲)
10:47
I want to find out the true way to do it,
231
647231
2406
我想要找一種真正的方式來做它,
10:49
maybe find a combination of cocktails of bacterias and drink it,
232
649661
4354
也許用雞尾酒和細菌 來合成,再喝下去,
10:54
it probably will make me better.
233
654039
1524
也許會讓我感覺好些。
10:55
So I'm trying to do that.
234
655587
1191
我在試著這麼做。
10:56
Even though I'm trying this hard,
235
656802
3002
雖然我非常努力在試,
10:59
it's so difficult to test out all possible conditions.
236
659828
5026
但是要測試出所有可能的方法 是非常困難的,
11:04
It's not possible to do all kinds of experiments at all ...
237
664878
5237
完全不可能去做所有各種實驗……
11:11
but we do have seven billion learning programs on this planet.
238
671161
3813
但在地球上我們仍然有 七十億個學習程式。
11:14
Seven billion.
239
674998
1266
七十億。
11:16
And every program is running in different conditions
240
676288
3651
每個程式都以不同的條件在執行,
11:19
and doing different experiments.
241
679963
1781
做著不同的實驗。
11:21
Can we all measure them?
242
681768
1851
我們能不能把它們全部都量測出來?
11:24
Seven years ago, I wrote an essay in "Science"
243
684782
3215
七年前我在《科學》期刊中 寫了一篇短文,
11:28
to celebrate the human genome's 10-year anniversary.
244
688021
3292
來讚頌人類基因組的十週年紀念。
11:31
I said, "Sequence yourself,
245
691995
1654
我說:「定序你自己,
11:33
for one and for all."
246
693673
1623
為自己,也為所有人。」
11:35
But now I'm going to say,
247
695618
1868
但現在我只打算說:
11:37
"Digitalize yourself for one and for all."
248
697510
3746
「把你自己數位化, 為自己,也為所有人。」
11:42
When we make this digital me into a digital we,
249
702095
5600
當我們把「數位化的我」 變成「數位化的我們」,
11:47
when we try to form an internet of life,
250
707719
3752
當我們嘗試建構數位化生命網路、
11:51
when people can learn from each other,
251
711495
2861
當人們可以從中彼此學習、
11:54
when people can learn from their experience,
252
714380
2707
當人們可以從他們的經驗、
11:57
their data,
253
717111
1731
他們的資料來學習,
11:58
when people can really form a digital me by themselves
254
718866
3601
當人們能真正做出 「數位化的自己」,
12:02
and we learn from it,
255
722491
1611
我們可以從中進行學習,
12:05
the digital we will be totally different with a digital me.
256
725236
5732
那麼「數位化的我們」就會和 「數位化的我」截然不同了。
12:10
But it can only come from the digital me.
257
730992
3420
但它必須要由 「數位化的我」開始建立起。
12:15
And this is what I try to propose here.
258
735923
2979
這是我在這裡想要提議的事。
12:19
Join me --
259
739941
1150
加入我──
12:21
become we,
260
741764
1150
變成「我們」,
12:23
and everybody should build up their own digital me,
261
743612
4938
每個人都應該要建立 自己的「數位化的我」,
12:28
because only by that will you learn more about you,
262
748574
4519
因為只有這樣做, 你才能學到更多關於你自己、
12:33
about me,
263
753117
1424
關於我、
12:34
about us ...
264
754565
1165
關於我們…...
12:36
about the question I just posed at the very beginning:
265
756498
3680
關於我在一開頭提出的問題:
12:40
"What is life?"
266
760202
1150
「生命是什麼?」
12:41
Thank you.
267
761886
1169
謝謝。
12:43
(Applause)
268
763079
5950
(掌聲)
12:49
Chris Anderson: One quick question for you.
269
769053
2761
克里斯安德森:很快請教一個問題。
12:52
I mean, the work is amazing.
270
772638
1974
這項研究很令人驚奇。
12:54
I suspect one question people have is,
271
774636
3198
我想人們可能會有一個疑問,
12:57
as we look forward to these amazing technical possibilities
272
777858
3281
當我們在期待著這些 個人化醫學的
13:01
of personalized medicine,
273
781163
1361
非凡技術可能性時,
13:02
in the near-term it feels like they're only going to be affordable
274
782548
3303
在短期來看, 似乎只有少數的人能負擔,
13:05
for a few people, right?
275
785875
1276
對吧?
13:07
It costs many dollars to do all the sequencing and so forth.
276
787175
2991
需要很多錢才能做這些定序等等。
13:10
Is this going to lead to a kind of,
277
790709
2912
這是否會導致某種……
13:13
you know, increasing inequality?
278
793645
2317
不平等的增加?
13:15
Or do you have this vision that the knowledge that you get
279
795986
3911
或者您是否有這樣的願景:
從這些早期的志願者 身上獲取的知識,
13:19
from the pioneers
280
799921
1352
13:21
can actually be pretty quickly disseminated
281
801297
2096
快速地複製推廣,
13:23
to help a broader set of recipients?
282
803417
4124
從而幫助更廣泛的群體?
13:27
Jun Wang: Well, good question.
283
807565
1534
王俊:嗯,好問題。
13:29
I'll tell you that seven years ago, when I co-founded BGI,
284
809123
3551
我可以告訴你, 當我七年前共同創立了華大基因,
13:32
and served as the CEO of the company there,
285
812698
3405
並擔任公司執行長時,
13:36
the only goal there for me to do
286
816127
2381
我唯一想做到的目標
13:38
was to drive the sequencing cost down.
287
818532
1983
是要把做定序的成本降低。
13:40
It started from 100 million dollars per human genome.
288
820864
2775
早先的人類基因組定序要一億元。
13:43
Now, it's a couple hundred dollars for a human genome.
289
823663
2591
現在每個人類基因組只要幾百塊錢。
13:46
The only reason to do it is to get more people to benefit from it.
290
826278
3614
這麼做的唯一理由, 就是想讓更多人從中受益。
13:50
So for the digital me, it's the same thing.
291
830198
2157
所以,對「數位化的我」也一樣。
13:52
Now, you probably need,
292
832379
1489
現在,你可能會需要…...
13:53
you know, one million dollars to digitize a person.
293
833892
3229
一百萬元才能把一個人數位化。
13:57
I think it has to be 100 dollars.
294
837621
1675
我想價格得要降到一百元。
13:59
It has to be free for many of those people that urgently need that.
295
839807
4049
有緊急需求的人要是可以免費的。
14:04
So this is our goal.
296
844192
1267
這是我們的目標。
14:05
And it seems that with all this merging of the technology,
297
845813
3423
似乎,把所有這些科技結合,
14:09
I'm thinking that in the very near future,
298
849260
2592
我想,在不遠的將來,
14:11
let's say three to five years,
299
851876
2365
也許三到五年,
14:14
it will come to reality.
300
854265
1482
它就會實現。
14:15
And this is the whole idea of why I founded iCarbonX,
301
855771
3979
這就是為什麼 我會成立第二間公司 :
14:19
my second company.
302
859774
1219
iCarbonX(碳雲智能)。
14:21
It's really trying to get the cost down
303
861017
2868
我們是真的想把成本下降,
14:23
to a level where every individual could have the benefit.
304
863909
3420
下降到人人都可受惠的程度。
14:27
CA: All right, so the dream is not elite health services for few,
305
867353
3048
克里斯:好,所以這個夢想 並不是給少數人的菁英健康服務,
14:30
it's to really try
306
870425
1234
是真的要試著去
14:31
and actually make overall health care much more cost effective --
307
871683
3111
且實際上去讓整體的 健康照護更有成本效益──
14:34
JW: But we started from some early adopters,
308
874818
2430
王俊:我們需要從一些 早期的先行者開始,
14:37
people believing ideas and so on,
309
877272
2506
從更加相信這個想法的一些人開始,
14:39
but eventually, it will become everybody's benefit.
310
879802
3642
但最終它將能夠讓每個人都受益。
14:44
CA: Well, Jun, I think it's got to be true to say
311
884123
2333
克里斯:王俊,我想這麼說不為過,
14:46
you're one of the most amazing scientific minds on the planet,
312
886480
2958
你是地球上很有 慈善心腸的科學家之一,
14:49
and it's an honor to have you.
313
889462
1429
非常榮幸能邀請到你。
14:50
JW: Thank you.
314
890915
1158
王俊:謝謝。
14:52
(Applause)
315
892097
1150
(掌聲)
關於本網站

本網站將向您介紹對學習英語有用的 YouTube 視頻。 您將看到來自世界各地的一流教師教授的英語課程。 雙擊每個視頻頁面上顯示的英文字幕,從那裡播放視頻。 字幕與視頻播放同步滾動。 如果您有任何意見或要求,請使用此聯繫表與我們聯繫。

https://forms.gle/WvT1wiN1qDtmnspy7