ABOUT THE SPEAKER
Jamie Heywood - Healthcare revolutionary
When MIT-trained mechanical engineer Jamie Heywood discovered that his younger brother was diagnosed with the terminal illness ALS, he focused all his energy on founding revolutionary healthcare initiatives to help his brother and others like him.

Why you should listen

After finding out that his brother, Stephen, had the terminal illness ALS, Jamie Haywood founded the ALS Therapy Development Institute in 1999. ALS TDI is the world’s first non-profit biotechnology company and accelerated research on the disease by hiring scientists to develop treatments outside of academia and for-profit corporations. They were the first to publish research on the safety of using stem cells in ALS patients.

In 2005,Jamie and his youngest brother Ben, along with close friend Jeff Cole, built PatientsLikeMe.com to give patients control and access to their healthcare information and compare it to others like them. Its bold (and somewhat controversial) approach involves aggregating users health info in order to test the effects of particular treatments, bypassing clinical trials. It was named one of "15 companies that will change the world" by CNN Money.

Although his brother passed away in the fall of 2006, Jamie continues to serve as chairman of PatientsLikeMe and on the board of directors of ALS TDI. Jamie has raised over $50 million dollars for ALS TDI and was the subject of the biography His Brother’s Keeper, written by Jonathan Weiner. He was also featured in the documentary So Much So Fast, exploring the development of ALS TDI and the personal story of he and Stephen.

More profile about the speaker
Jamie Heywood | Speaker | TED.com
TEDMED 2009

Jamie Heywood: The big idea my brother inspired

杰米 海伍德:我弟弟激发出的好点子

Filmed:
594,245 views

当吉米.海伍德的弟弟被诊断为肌萎缩性侧索硬化症后,吉米自己也投身于与这个疾病的抗争之中。海伍德兄弟建立了一个新颖独特的网站,在这个网站上,病人们可以分享和跟踪监测疾病相关的数据。进而,他们发现这些来自集体的数据能够发挥强大的支持、解释和预测的作用。
- Healthcare revolutionary
When MIT-trained mechanical engineer Jamie Heywood discovered that his younger brother was diagnosed with the terminal illness ALS, he focused all his energy on founding revolutionary healthcare initiatives to help his brother and others like him. Full bio

Double-click the English transcript below to play the video.

00:15
When my brother哥哥 called me in December十二月 of 1998,
0
0
3000
1998年12月,我弟弟打电话告诉我,
00:18
he said, "The news新闻 does not look good."
1
3000
2000
他的病情不太好了。
00:20
This is him on the screen屏幕.
2
5000
2000
屏幕上这个人就是他。
00:22
He'd他会 just been diagnosed确诊 with ALSALS,
3
7000
2000
他那时刚刚被诊断为肌萎缩性侧索硬化症。
00:24
which哪一个 is a disease疾病 that the average平均 lifespan寿命 is three years年份.
4
9000
4000
患上这个病后,平均寿命仅剩三年。
00:28
It paralyzes瘫痪 you. It starts启动 by killing谋杀
5
13000
2000
它通过杀死脊髓中的运动神经元,
00:30
the motor发动机 neurons神经元 in your spinal cord.
6
15000
3000
致使病人瘫痪。
00:33
And you go from being存在 a healthy健康,
7
18000
2000
它使你从一个健康的、
00:35
robust强大的 29-year-old-岁 male
8
20000
3000
强壮的29岁男人,
00:38
to someone有人 that cannot不能 breathe呼吸,
9
23000
2000
变成一个无法呼吸,
00:40
cannot不能 move移动, cannot不能 speak说话.
10
25000
3000
无法移动,无法说话的人。
00:46
This has actually其实 been, to me, a gift礼品,
11
31000
4000
然而,这对于我来说,确是一个礼物,
00:50
because we began开始 a journey旅程
12
35000
3000
因着它,我们开始了一段
00:53
to learn学习 a new way of thinking思维 about life.
13
38000
3000
重新认识生命的旅程。
00:56
And even though虽然 Steven史蒂芬 passed通过 away three years年份 ago
14
41000
4000
尽管斯蒂夫三年前离开了,
01:00
we had an amazing惊人 journey旅程 as a family家庭.
15
45000
2000
我们还是作为一个家庭,共度了这个奇妙的旅程。
01:02
We did not even --
16
47000
3000
我们甚至没有——
01:05
I think adversity逆境 is not even the right word.
17
50000
2000
我想,“不幸”甚至都不适于用来形容这段经历。
01:07
We looked看着 at this and we said, "We're going to do something with this
18
52000
3000
我们审视着这个事实,而后决定,
01:10
in an incredibly令人难以置信 positive way."
19
55000
2000
我们要用一种惊人的积极来面对它。
01:12
And I want to talk today今天
20
57000
2000
于是,我今天将要
01:14
about one of the things that we decided决定 to do,
21
59000
3000
说一说其中一件我们决定要做的事。
01:17
which哪一个 was to think about a new way of approaching接近 healthcare卫生保健.
22
62000
4000
我们想探索一条医疗保健的新路。
01:21
Because, as we all know here today今天,
23
66000
2000
因为,正如我们所知,
01:23
it doesn't work very well.
24
68000
2000
现今的医疗方法并不尽如人意。
01:25
I want to talk about it in the context上下文 of a story故事.
25
70000
3000
下面,我将结合一个故事,讲讲我们所做的这件事。
01:28
This is the story故事 of my brother哥哥.
26
73000
2000
这是关于我弟弟的故事。
01:30
But it's just a story故事. And I want to go beyond the story故事,
27
75000
3000
但,我希望跨出这件事的范围,
01:33
and go to something more.
28
78000
2000
触及更深远的东西。
01:35
"Given特定 my status状态, what is the best最好 outcome结果
29
80000
3000
“鉴于我现在的状态,什么是我能期待达到的最好的结果,
01:38
I can hope希望 to achieve实现, and how do I get there?"
30
83000
3000
我又如何去得到它?”
01:41
is what we are here to do in medicine医学, is what everyone大家 should do.
31
86000
3000
这句话是我们在这里针对医疗所做的探索,也是每个人应该做的思考。
01:44
And those questions问题 all have variables变量 to them.
32
89000
2000
每个人的问题和解答都不同
01:46
All of our statuses状态 are different不同.
33
91000
2000
因为我们每个人的状况都不一样,
01:48
All of our hopes希望 and dreams, what we want to accomplish完成,
34
93000
2000
我们的期望和梦想不一样,
01:50
is different不同, and our paths路径 will be different不同,
35
95000
2000
我们接近梦想的道路也不一样,
01:52
they are all stories故事.
36
97000
2000
这些都可以写成不同的故事。
01:54
But it's a story故事 until直到 we convert兑换 it to data数据
37
99000
2000
是的,在我们把这转换为数据之前,这仅仅只是一个故事。
01:56
and so what we do, this concept概念 we had,
38
101000
2000
所以,我们提出的概念,
01:58
was to take Steven's史蒂芬的 status状态, "What is my status状态?"
39
103000
3000
是列出斯蒂夫的状态——“我的状态是什么”,
02:01
and go from this concept概念 of walking步行, breathing呼吸,
40
106000
5000
从走路,呼吸
02:06
and then his hands, speak说话,
41
111000
3000
到动手,说话
02:09
and ultimately最终 happiness幸福 and function功能.
42
114000
4000
最后,是幸福感和功能性。
02:13
So, the first set of pathologies病理, they end结束 up in the stick man
43
118000
2000
这第一系里的病理组成了这个条状的人
02:15
on his icon图标,
44
120000
2000
的标志。
02:17
but the rest休息 of them are really what's important重要 here.
45
122000
3000
然而,在这里,其余的信息才是真正关键的东西。
02:20
Because Steven史蒂芬, despite尽管 the fact事实 that he was paralyzed,
46
125000
3000
因为,尽管斯蒂夫已经瘫痪,
02:23
as he was in that pool, he could not walk步行,
47
128000
3000
你可以看到他在那个游泳池里,无法走动,
02:26
he could not use his arms武器 -- that's why he had the little floaty轻飘 things on them,
48
131000
2000
无法使用手臂,因此,你看到吗?
02:28
did you see those? --
49
133000
2000
他身上戴着那些小的浮力块。
02:30
he was happy快乐. We were at the beach海滩,
50
135000
2000
但他很幸福。当时我们在一个沙滩上,
02:32
he was raising提高 his son儿子, and he was productive生产的.
51
137000
2000
他正举着他的儿子。并且他还具有很好的创造力。
02:34
And we took this, and we converted转换 it into data数据.
52
139000
5000
于是我们提取这个信息,也将它转换成数据。
02:39
But it's not a data数据 point at that one moment时刻 in time.
53
144000
2000
但这并不是在一个时间点上的一个数据点。
02:41
It is a data数据 point of Steven史蒂芬 in a context上下文.
54
146000
2000
只是一个代表了斯蒂夫在一定生活环境下的数据。
02:43
Here he is in the pool. But here he is healthy健康,
55
148000
2000
这个点,表示他在游泳池里。而这个点,表示他还是一个健康的建筑工人,
02:45
as a builder建设者: taller, stronger,
56
150000
3000
高大、强壮,
02:48
got all the women妇女, amazing惊人 guy.
57
153000
2000
赢得所有女人的青睐,非常迷人。
02:50
Here he is walking步行 down the aisle走道,
58
155000
2000
这个点表示他从小岛上走下来,
02:52
but he can barely仅仅 walk步行 now, so it's impaired受损.
59
157000
3000
但他已经基本无法走路,所以已经是受损的。
02:55
And he could still hold保持 his wife's妻子 hand, but he couldn't不能 do buttons纽扣 on his clothes衣服,
60
160000
2000
他仍然可以牵着太太的手,但他无法自己扣扣子,
02:57
can't feed饲料 himself他自己.
61
162000
2000
无法自己吃饭。
02:59
And here he is, paralyzed completely全然,
62
164000
2000
而到这里,他已经完全瘫痪,
03:01
unable无法 to breathe呼吸 and move移动, over this time journey旅程.
63
166000
2000
在这段时间里,他已经无法呼吸和移动。
03:03
These stories故事 of his life, converted转换 to data数据.
64
168000
3000
这样,我们将他的生命旅程转换为这些数据。
03:06
He renovated装修 my carriage运输 house
65
171000
2000
他曾翻修过我的马厩,
03:08
when he was completely全然 paralyzed, and unable无法 to speak说话,
66
173000
2000
当他完全瘫痪,无法说话、
03:10
and unable无法 to breathe呼吸, and he won韩元 an award for a historic历史性 restoration恢复.
67
175000
6000
无法呼吸之后,他赢得了一个保护历史建筑的奖励。
03:16
So, here's这里的 Steven史蒂芬 alone单独, sharing分享 this story故事 in the world世界.
68
181000
2000
到此为止,这是斯蒂夫一个人在与全世界分享他的故事。
03:18
And this is the insight眼光, the thing that we are
69
183000
3000
而这正是这件事的内在意义,
03:21
excited兴奋 about,
70
186000
2000
是我们为之感到激动的原因。
03:23
because we have gone走了 away from the community社区 that we are,
71
188000
3000
因为我们已经从我们所在的社区走出来,
03:26
the fact事实 that we really do love each other and want to care关心 for each other.
72
191000
3000
因为我们彼此相爱、我们希望照顾对方的缘故,
03:29
We need to give to others其他 to be successful成功.
73
194000
2000
我们应该使得对方成功。
03:31
So, Steven史蒂芬 is sharing分享 this story故事,
74
196000
3000
因此,斯蒂夫在分享他的故事,
03:34
but he is not alone单独.
75
199000
2000
但他并不是孤单的。
03:36
There are so many许多 other people sharing分享 their stories故事.
76
201000
2000
这里有许多其他的病人在分享他们的故事。
03:38
Not stories故事 in words, but stories故事 in data数据 and words.
77
203000
3000
这些并不是仅仅用文字写成的故事,
03:41
And we convert兑换 that information信息 into this structure结构体,
78
206000
3000
于是,我们将那些信息转换成这样的结构,
03:44
this understanding理解, this ability能力 to convert兑换
79
209000
3000
这样的理解方式,这样一种
03:47
those stories故事 into something that is computable可计算,
80
212000
2000
能将那些故事转换成可计算形式的能力。
03:49
to which哪一个 we can begin开始 to change更改 the way
81
214000
2000
借由此,我们就能开始
03:51
medicine医学 is doneDONE and delivered交付.
82
216000
2000
改变实现医疗的方式。
03:53
We did this for ALSALS. We can do this for depression萧条,
83
218000
2000
我们不仅针对肌萎缩性侧索硬化症,我们还可以将此推广到抑郁症、
03:55
Parkinson's帕金森氏 disease疾病, HIVHIV.
84
220000
2000
帕金森病、艾滋病上。
03:57
These are not simple简单, they are not internet互联网 scalable可扩展性;
85
222000
2000
这样的推广并不容易,不只是用户的增加
03:59
they require要求 thought and processes流程
86
224000
2000
而需要更多的考量和处理,
04:01
to find the meaningful富有意义的 information信息 about the disease疾病.
87
226000
3000
来找到关于这个疾病真正有用的信息。
04:04
So, this is what it looks容貌 like when you go to the website网站.
88
229000
3000
这个,就是你登陆这个网站将看到的。
04:07
And I'm going to show显示 you what Patients耐心 Like Me,
89
232000
3000
现在我将展示由我和我最小的弟弟,
04:10
the company公司 that myself, my youngest最年轻的 brother哥哥
90
235000
2000
以及一个来自麻省理工的好朋友
04:12
and a good friend朋友 from MITMIT started开始.
91
237000
2000
共同创建的这个公司。
04:14
Here are the actual实际 patients耐心, there are 45,000 of them now,
92
239000
3000
这些是真正的病人,现在总量达到了45,000人,
04:17
sharing分享 their stories故事 as data数据.
93
242000
2000
他们在这里用数据的形式分享他们的故事。
04:19
Here is an M.S. patient患者.
94
244000
2000
这是一位患有“多发性硬化症”的病人。
04:21
His name名称 is Mike麦克风, and he is uniformly均匀 impaired受损
95
246000
2000
他的名字叫迈克,
04:23
on cognition认识, vision视力, walking步行, sensation感觉.
96
248000
3000
他的认知、视觉、行走以及感觉能力都受到了同等的损伤。
04:26
Those are things that are different不同 for each M.S. patient患者.
97
251000
2000
不同的多发性硬化症病人,在这些方面的受损情况都不同,
04:28
Each of them can have a different不同 characteristic特性.
98
253000
2000
他们每个人都具有不同的特质。
04:30
You can see fibromyalgia纤维肌痛, HIVHIV, ALSALS, depression萧条.
99
255000
5000
你在这里可以看到纤维肌痛、艾滋病、肌萎缩性侧索硬化症以及抑郁症。
04:35
Look at this HIVHIV patient患者 down here, ZinnyZinny.
100
260000
3000
让我们一起来看看这位艾滋病患者,他叫基尼。
04:38
It's two years年份 of this disease疾病. All of the symptoms症状 are not there.
101
263000
3000
这是他患上艾滋病的第二年,还没有出现所有的症状,
04:41
But he is working加工 to keep his CD光盘4 count计数 high
102
266000
2000
不过他在努力保持高水平的免疫细胞数量,
04:43
and his viral病毒 level水平 low so he can make his life better.
103
268000
3000
并降低病毒水平,获得较好的生活质量。
04:46
But you can aggregate骨料 this and you can discover发现 things about treatments治疗.
104
271000
4000
另一方面,我们可以综合这些信息,来发明更好的治疗方法。
04:50
Look at this, 2,000 people almost几乎, on Copaxone帕松.
105
275000
2000
从这里我们看到,有近2000个病人使用帕克松治疗多发性硬化症。
04:52
These are patients耐心 currently目前 on drugs毒品,
106
277000
2000
这些是现在在用药的病人,
04:54
sharing分享 data数据.
107
279000
2000
他们在分享有关的数据。
04:56
I love some of these, physical物理 exercise行使, prayer祷告.
108
281000
3000
我非常喜欢其中的一些内容,比如锻炼,比如祷告。
04:59
Anyone任何人 want to run a comparative比较 effectiveness效用 study研究
109
284000
2000
有没有人想研究祷告的人和其他人相比,用药效果有什么区别?
05:01
on prayer祷告 against反对 something? Let's look at prayer祷告.
110
286000
2000
让我们一起来看看祷告的人。
05:03
What I love about this, just sort分类 of interesting有趣 design设计 problems问题.
111
288000
4000
我喜欢的是这其中有趣的设计思路。
05:07
These are why people pray祈祷.
112
292000
2000
这些是人们做祷告的原因,
05:09
Here is the schedule时间表 of how frequently经常 they -- it's a dose剂量.
113
294000
2000
这里是他们做祷告的频率和时间——也就是“剂量”。
05:11
So, anyone任何人 want to see the 32 patients耐心 that pray祈祷 for 60 minutes分钟 a day,
114
296000
3000
接下来,有人想知道这32位每天祷告60分钟的病人的病情是否比别人要好吗,
05:14
and see if they're doing better, they probably大概 are.
115
299000
2000
也许是的喔。
05:16
Here they are. It's an open打开 network网络,
116
301000
3000
这就是结果。另一方面,这是一个开放的关系网,
05:19
everybody每个人 is sharing分享. We can see it all.
117
304000
3000
每个人都在分享自己的数据,大家都可以看得见。
05:22
Or, I want to look at anxiety焦虑, because people are praying祈祷 for anxiety焦虑.
118
307000
3000
或者,如果我想关注焦虑的情况,因为很多人因为焦虑而祷告,
05:25
And here is data数据 on 15,000 people's人们 current当前 anxiety焦虑, right now.
119
310000
5000
那么现在马上就可以看到15,000个病人现在的焦虑情况,
05:30
How they treat对待 it,
120
315000
3000
以及他们是如何治疗焦虑的。
05:33
the drugs毒品, the components组件 of it,
121
318000
3000
他们用的药,药的成分,
05:36
their side effects效果, all of it in a rich丰富 environment环境,
122
321000
3000
药的副作用,所有都可以显示在一个完整的环境下。
05:39
and you can drill钻头 down and see the individuals个人.
123
324000
2000
接下来,你可以继续追踪下去,去研究这些个体。
05:41
This amazing惊人 data数据 allows允许 us to drill钻头 down and see
124
326000
3000
这些惊人的数据使得我们可以不断挖掘,
05:44
what this drug药物 is for --
125
329000
3000
发现这个药物有什么作用。
05:47
1,500 people on this drug药物, I think. Yes.
126
332000
2000
有1,500个人在用这个药,是的,
05:49
I want to talk to the 58 patients耐心 down here
127
334000
2000
我希望与其中58位病人交谈,
05:51
who are taking服用 four milligrams毫克 a day.
128
336000
2000
他们每天摄入4毫克这个药物。
05:53
And I want to talk to the ones那些 of those that have been doing
129
338000
2000
我还希望了解其中那些
05:55
it for more than two years年份.
130
340000
6000
用药两年以上的病人。
06:01
So, you can see the duration持续时间.
131
346000
2000
因为在这里我们还可以看到持续服药的时间。
06:03
All open打开, all available可得到.
132
348000
4000
这所有数据都是开放的,随时可以获取。
06:07
I'm going to log日志 in.
133
352000
4000
我现在登陆我的帐号。
06:11
And this is my brother's兄弟 profile轮廓.
134
356000
2000
这是我弟弟的资料。
06:13
And this is a new version of our platform平台 we're launching发射 right now.
135
358000
4000
这是我们刚刚为这个平台开发的新版本,
06:17
This is the second第二 generation. It's going to be in Flash.
136
362000
2000
是第二代产品,加入了动画效果。
06:19
And you can see here, as this animates动画 over,
137
364000
3000
在动画结束之后,你可以看到,
06:22
Steven's史蒂芬的 actual实际 data数据 against反对 the background背景 of all other patients耐心,
138
367000
3000
所有病人数据的背景之上,
06:25
against反对 this information信息.
139
370000
3000
是斯蒂夫的数据。
06:28
The blue蓝色 band is the 50th percentile百分. Steven史蒂芬 is the 75th percentile百分,
140
373000
2000
这条蓝色带是50个百分点,而斯蒂夫是75个百分点,
06:30
that he has non-genetic非遗传 ALSALS.
141
375000
3000
并且他换的是非遗传性的肌萎缩性侧索硬化症。
06:33
You scroll滚动 down in this profile轮廓 and you can see
142
378000
2000
向下继续滚动,你可以在这个资料中看到
06:35
all of his prescription处方 drugs毒品,
143
380000
2000
他的所有处方药记录。
06:37
but more than that, in the new version, I can look at this interactively交互式.
144
382000
3000
不仅如此,在这个新的版本中,我还可以看到更互动的形式。
06:40
Wait, poor较差的 spinal capacity容量.
145
385000
2000
重量,受损的脊髓能力。
06:42
Doesn't this remind提醒 you of a great stock股票 program程序?
146
387000
2000
这有没有让你想起那些好用的股票软件?
06:44
Wouldn't岂不 it be great if the technology技术 we used to take care关心 of ourselves我们自己
147
389000
2000
如果我们用来关注健康的技术,
06:46
was as good as the technology技术 we use to make money?
148
391000
3000
能和我们用来挣钱的技术一样好用,岂不是非常美妙?
06:49
DetrolDetrol. In the side effects效果 for his drug药物,
149
394000
2000
我们可以看到,托特罗定的副作用
06:51
integrated集成 into that, the stem cell细胞 transplant移植 that he had,
150
396000
2000
结合他做过的干细胞移植,
06:53
the first in the world世界, shared共享 openly公然 for anyone任何人 who wants to see it.
151
398000
6000
这些信息首次向全世界想要了解它的人公开。
06:59
I love here -- the cyberkineticscyberkinetics implant注入,
152
404000
2000
我还很喜欢这个,植入性人体应用前景,
07:01
which哪一个 was, again, the only patient's耐心 data数据 that was online线上 and available可得到.
153
406000
4000
这又是唯一一个在线、可用的病人数据。
07:05
You can adjust调整 the time scale规模. You can adjust调整 the symptoms症状.
154
410000
2000
你可以调整显示的时间范围,可以调整显示的症状。
07:07
You can look at the interaction相互作用 between之间 how I treat对待 my ALSALS.
155
412000
4000
你还可以看到我治疗肌萎缩性侧索硬化症的各种手段的相互作用:
07:11
So, you click点击 down on the ALSALS tab标签 there.
156
416000
2000
比如你点击“肌萎缩性侧索硬化症”的标签,
07:13
I'm taking服用 three drugs毒品 to manage管理 it. Some of them are experimental试验.
157
418000
3000
我使用了三种药物来控制它,其中有一些是实验性的。
07:16
I can look at my constipation便秘, how to manage管理 it.
158
421000
2000
我还可以关注我的便秘问题,看看如何治疗。
07:18
I can see magnesium citrate柠檬酸盐, and the side effects效果
159
423000
2000
我可以查看柠檬酸镁,
07:20
from that drug药物 all integrated集成 in the time
160
425000
2000
以及在有意义的时间范围内
07:22
in which哪一个 they're meaningful富有意义的.
161
427000
3000
所有副作用的效果。
07:25
But I want more.
162
430000
2000
然而,我还想要更多。
07:27
I don't want to just look at this cool device设备, I want to take this
163
432000
2000
我不想仅仅只是查看这些数据,
07:29
data数据 and make something even better.
164
434000
2000
我希望能用这些数据去发明一些更好的应用。
07:31
I want my brother's兄弟 center中央 of the universe宇宙 and his symptoms症状
165
436000
3000
我要使得我弟弟是宇宙的中心,
07:34
and his drugs毒品,
166
439000
3000
而他的所用症状、所有用药、
07:37
and all of the things that interact相互作用 among其中 those,
167
442000
2000
以及所有作用于其中的因素、
07:39
the side effects效果, to be in this beautiful美丽 data数据 galaxy星系
168
444000
3000
副作用,都成为漂亮的数据星系围绕在他周围。
07:42
that we can look at in any way we want to understand理解 it,
169
447000
3000
我们可以用任何我们希望的方式去理解它。
07:45
so that we can take this information信息
170
450000
3000
这样,我们就可以利用这些信息,
07:48
and go beyond just this simple简单 model模型
171
453000
4000
超越数据记录
07:52
of what a record记录 is.
172
457000
3000
这个简单的模型。
07:55
I don't even know what a medical record记录 is.
173
460000
2000
我甚至不需要知道什么是医疗记录。
07:57
I want to solve解决 a problem问题. I want an application应用.
174
462000
2000
我只要知道如何治疗疾病,我只需要知道如何应用这些数据。
07:59
So, can I take this data数据 -- rearrange改编 yourself你自己,
175
464000
3000
因此,我可以重新整合这些数据,
08:02
put the symptoms症状 in the left, the drugs毒品 across横过 the top最佳,
176
467000
2000
把症状放在左边,药物列在上方,
08:04
tell me everything we know about Steven史蒂芬 and everyone大家 else其他,
177
469000
2000
告诉我关于斯蒂夫和其他所有人的信息,
08:06
and what interacts交互.
178
471000
3000
以及哪些因素在交互作用。
08:09
Years年份 after he's had these drugs毒品,
179
474000
2000
在他服用那些药物的几年之后,
08:11
I learned学到了 that everything he did to manage管理 his excess过量 saliva唾液,
180
476000
3000
我才知道他用来控制口水过量的所有方法,
08:14
including包含 some positive side effects效果 that came来了 from other drugs毒品,
181
479000
3000
包括其他一些曾起过积极副作用的药物,
08:17
were making制造 his constipation便秘 worse更差.
182
482000
2000
都在同时恶化他的便秘问题。
08:19
And if anyone's任何人的 ever had severe严重 constipation便秘,
183
484000
2000
所以,如果有人有过严重的便秘,
08:21
and you don't understand理解 how much of an impact碰撞 that has on your life --
184
486000
2000
并且你不知道这会给你的生活带来什么样的影响,
08:23
yes, that was a pun双关语.
185
488000
3000
是的,那是一个双关语。
08:26
You're trying to manage管理 these,
186
491000
2000
你正在努力去控制这些问题,
08:28
and this grid is available可得到 here,
187
493000
2000
而这个表格就在这里,
08:30
and we want to understand理解 it.
188
495000
3000
我们希望去理解它。
08:33
No one's那些 ever had this kind of information信息.
189
498000
3000
没有人有过这样的信息,
08:36
So, patients耐心 have this. We're for patients耐心.
190
501000
2000
而这里的病人们有,我们这样做就是为了这些病人。
08:38
This is all about patient患者 health健康 care关心, there was no doctors医生 on our network网络.
191
503000
2000
这些都是关于病人的保健信息,我们的网络里没有医生。
08:40
This is about the patients耐心.
192
505000
2000
这些全都是关乎于病人。
08:42
So, how can we take this and bring带来 them a tool工具
193
507000
3000
那么,我们如何利用这些来给他们创造一个工具,
08:45
that they can go back and they can engage从事 the medical system系统?
194
510000
2000
让他们能够回到家里,自己参与到医疗系统中来呢?
08:47
And we worked工作 hard, and we thought about it and we said,
195
512000
3000
我们为此努力工作,同时我们一直在思考,
08:50
"What's something we can use all the time,
196
515000
2000
“有什么东西是我们可以可持续地利用,
08:52
that we can use in the medical care关心 system系统,
197
517000
2000
应用在医疗系统中,
08:54
that everyone大家 will understand理解?"
198
519000
2000
并且大家都能够理解?”
08:56
So, the patients耐心 print打印 it out,
199
521000
2000
这样,病人可以把它打印出来,
08:58
because hospitals医院 usually平时 block us
200
523000
2000
因为医院通常都屏蔽我们,
09:00
because they believe we are a social社会 network网络.
201
525000
3000
他们认为我们是一个社交网络。
09:03
It's actually其实 the most used feature特征 on the website网站.
202
528000
2000
但这实际上是这个网站应用最多的功能。
09:05
Doctors医生 actually其实 love this sheet, and they're actually其实 really engaged订婚.
203
530000
3000
医生们其实很喜欢这个数据单,它在实际应用中真的能派上用场。
09:08
So, we went from this story故事 of Steven史蒂芬
204
533000
3000
我们从网站上斯蒂夫的故事以及他的数据历史,
09:11
and his history历史 to data数据, and then back to paper,
205
536000
3000
回到纸版信息,
09:14
where we went back and engaged订婚 the medical care关心 system系统.
206
539000
1000
结合进入传统的医疗系统。
09:15
And here's这里的 another另一个 paper.
207
540000
2000
这是另一种纸版信息。
09:17
This is a journal日志, PNASPNAS --
208
542000
2000
这是一本杂志——PNAS。
09:19
I think it's the Proceedings论文集 of the National国民 Academy学院 of Science科学
209
544000
2000
这是美国国家科学院院刊
09:21
of the United联合的 States状态 of America美国.
210
546000
2000
的缩写。
09:23
You've seen看到 multiple of these today今天, when everyone's大家的 bragging吹牛 about
211
548000
2000
你已经看过很多类似的东西:
09:25
the amazing惊人 things they've他们已经 doneDONE.
212
550000
2000
人们吹嘘他们完成了一件多么了不起的奇迹。
09:27
This is a report报告 about a drug药物 called lithium.
213
552000
2000
这篇文章报道了一种药,叫做锂。
09:29
Lithium, that is a drug药物 used to treat对待 bipolar双极 disorder紊乱,
214
554000
4000
这个药物以前是用来治疗躁郁症的。
09:33
that a group in Italy意大利 found发现
215
558000
2000
一个意大利研究小组发现,
09:35
slowed放缓 ALSALS down in 16 patients耐心, and published发表 it.
216
560000
3000
这个药在16个病人中减缓了肌萎缩性侧索硬化症的发病,就发表了这篇文章。
09:38
Now, we'll skip跳跃 the critiques批评 of the paper.
217
563000
2000
现在,我们跳过对这篇文章本身的评论,
09:40
But the short story故事 is: If you're a patient患者,
218
565000
2000
来关注一个小故事:如果你是一个病人,
09:42
you want to be on the blue蓝色 line线.
219
567000
2000
你希望自己在这条蓝线上。
09:44
You don't want to be on the red line线, you want to be on the blue蓝色 line线.
220
569000
2000
你不希望自己在红线上,你希望自己在蓝线上。
09:46
Because the blue蓝色 line线 is a better line线. The red line线
221
571000
2000
因为蓝线表示更好的身体状况,
09:48
is way downhill下坡, the blue蓝色 line线 is a good line线.
222
573000
2000
红线表示在走下坡路,而蓝线表示状况良好。
09:50
So, you know we said -- we looked看着 at this, and what I love also
223
575000
4000
因此,你知道我在说什么——我们关注这些数据,我发现,
09:54
is that people always accuse these Internet互联网 sites网站
224
579000
2000
人们总是指责这些网站在促使他们使用不好的药物,
09:56
of promoting促进 bad medicine医学 and having people do things irresponsibly不负责任.
225
581000
3000
不负责任地指导病人做这做那。
09:59
So, this is what happened发生 when PNASPNAS published发表 this.
226
584000
3000
这就是PNAS发表这篇文章之后所发生的故事。
10:02
Ten percent百分 of the people in our system系统 took lithium.
227
587000
3000
我们系统中有百分之十的病人使用了“锂”,
10:05
Ten percent百分 of the patients耐心 started开始 taking服用 lithium based基于 on 16 patients耐心 of data数据
228
590000
3000
他们根据这篇烂文章中16个病人的数据,
10:08
in a bad publication出版物.
229
593000
2000
就开始使用这种药物。
10:10
And they call the Internet互联网 irresponsible不负责任.
230
595000
2000
他们控诉互联网的不负责任。
10:12
Here's这里的 the implication意义 of what happens发生.
231
597000
2000
这暗示了接下来发生的状况。
10:14
There's this one guy, named命名 Humberto温贝托, from Brazil巴西,
232
599000
3000
这是其中的一个人,叫做汉伯特,来自巴西。
10:17
who unfortunately不幸 passed通过 away nine months个月 ago,
233
602000
3000
他很不幸地在九个月前去世了。
10:20
who said, "Hey, listen. Can you help us answer回答 this question?
234
605000
2000
他说,“嘿听着,你们能帮我们解答这个问题吗?
10:22
Because I don't want to wait for the next下一个 trial审讯, it's going to be years年份.
235
607000
3000
因为我不想等到下一轮试验,那要好多年后了,
10:25
I want to know now. Can you help us?"
236
610000
2000
我希望现在就知道结果。你能帮助我们吗?”
10:27
So, we launched推出 some tools工具, we let them track跟踪 their blood血液 levels水平.
237
612000
3000
于是,我们就发明了一些工具,我们让他们跟踪记录他们到血压,
10:30
We let them share分享 the data数据 and exchange交换 it.
238
615000
2000
并分享和交换数据。
10:32
You know, a data数据 network网络.
239
617000
3000
你知道的,就是建立一个数据网络。
10:35
And they said, you know, "Jamie杰米, PLMPLM,
240
620000
2000
而后,他们说,“吉米,PLM?
10:37
can you guys tell us whether是否 this works作品 or not?"
241
622000
2000
你们能不能告诉我们这个药到底有没有用?”
10:39
And we went around and we talked to people,
242
624000
2000
于是我们走访病人,
10:41
and they said, "You can't run a clinical临床 trial审讯 like this. You know?
243
626000
2000
他们说,“你知道吗,你们无法建立临床试验,
10:43
You don't have the blinding致盲, you don't have data数据,
244
628000
2000
你们没有双盲试验,你们没有数据,
10:45
it doesn't follow跟随 the scientific科学 method方法.
245
630000
2000
这样做根本不是科学的方法。
10:47
It's never going to work. You can't do it."
246
632000
2000
这样是没用的,你们无法做到。”
10:49
So, I said, "Okay well we can't do that. Then we can do something harder更难."
247
634000
3000
于是我说,“好吧,我们无法做到,那么我们就做更难的事。”
10:52
(Laughter笑声)
248
637000
3000
(笑)
10:55
I can't say whether是否 lithium works作品 in all ALSALS patients耐心,
249
640000
2000
我无法断言“锂”是否能够治疗肌萎缩性侧索硬化症,
10:57
but I can say whether是否 it works作品 in Humberto温贝托.
250
642000
3000
但我可以知道它对于汉伯特是否有用。
11:00
I bought a Mac苹果电脑 about two years年份 ago, I converted转换 over,
251
645000
2000
两年前我买了一个苹果电脑,转换了操作系统,
11:02
and I was so excited兴奋 about this new feature特征 of the time machine
252
647000
2000
我特别喜欢其中的新功能——时间机器。
11:04
that came来了 in Leopard. And we said -- because it's really cool,
253
649000
2000
它出现于雪豹系统中。我们说,它太酷了!
11:06
you can go back and you can look at the entire整个 history历史 of your computer电脑,
254
651000
2000
你可以退回到从前,可以一览你的电脑的所有历史记录,
11:08
and find everything you've lost丢失, and I loved喜爱 it.
255
653000
2000
找回所有你丢失的东西,我太喜欢这个功能了。
11:10
And I said, "What if we built内置 a time machine for patients耐心,
256
655000
4000
于是我想,如果我们为病人建立一个时间机器,
11:14
except instead代替 of going backwards向后, we go forwards前锋.
257
659000
3000
但它不是回到从前,相反地,我们让它向前走,
11:17
Can we find out what's going to happen发生 to you,
258
662000
3000
那么我们能不能预知在病人身上将发生什么,
11:20
so that you can maybe change更改 it?"
259
665000
3000
并且是否可能去改变这个结果?
11:23
So, we did. We took all the patients耐心 like Humberto温贝托,
260
668000
3000
于是我们就去尝试了。我们聚集了所有象汉伯特那样患者的資料
11:26
That's the Apple苹果 background背景, we stole偷了 that because we didn't have time
261
671000
2000
这是苹果的背景,由于没有时间做我们自己的背景,我们就直接借用了。
11:28
to build建立 our own拥有. This is a real真实 app应用 by the way.
262
673000
2000
这已经是一个真的应用
11:30
This is not just graphics图像.
263
675000
2000
而不仅仅是图示,
11:32
And you take those data数据, and we find the patients耐心 like him, and we bring带来
264
677000
2000
我们取出相关数据,找到和他一样的病人,
11:34
their data数据 together一起. And we bring带来 their histories历史 into it.
265
679000
4000
然后把他们的数据集合在一起,把他们的病史也放在一起。
11:38
And then we say, "Well how do we line线 them all up?"
266
683000
2000
而后我们想,那么我们怎么把组织这些数据罗列起来呢?
11:40
So, we line线 them all up so they go together一起
267
685000
2000
于是我们把数据
11:42
around the meaningful富有意义的 points,
268
687000
2000
围绕那些有意义的数据点组织起来,
11:44
integrated集成 across横过 everything we know about the patient患者.
269
689000
2000
综合了所有关于这个病人的信息。
11:46
Full充分 information信息, the entire整个 course课程 of their disease疾病.
270
691000
4000
这就是他们患病的整个过程,
11:50
And that's what is going to happen发生 to Humberto温贝托,
271
695000
2000
也正是汉伯特将要面对的病情,
11:52
unless除非 he does something.
272
697000
2000
除非他额外采用了别的措施。
11:54
And he took lithium, and he went down the line线.
273
699000
3000
而他服用了“锂”,于是他的病情比这个预期恶化了,
11:57
And it works作品 almost几乎 every一切 time.
274
702000
3000
每次服用过后,几乎毫无例外地出现这个结果。
12:00
Now, the ones那些 that it doesn't work are interesting有趣.
275
705000
2000
那么,那些没有恶化的情况就非常值得关注。
12:02
But almost几乎 all the time it works作品.
276
707000
3000
不过,绝大多数时候都维持了恶化的规律。
12:05
It's actually其实 scary害怕. It's beautiful美丽.
277
710000
2000
这看起来完美得令人触目惊心。
12:07
So, we couldn't不能 run a clinical临床 trial审讯, we couldn't不能 figure数字 it out.
278
712000
2000
因此,虽然我们不能通过临床试验来得出结论,
12:09
But we could see whether是否 it was going to work for Humberto温贝托.
279
714000
3000
但我们可以预知这个药对汉伯特是否有效。
12:12
And yeah, all the clinicians临床医生 in the audience听众 will talk about power功率
280
717000
2000
我知道,在座的临床医生们都会说到强度
12:14
and all the standard标准 deviation偏差. We'll do that later后来.
281
719000
2000
和标准差,我们等等也会谈到这点。
12:16
But here is the answer回答
282
721000
4000
但是,让我们先来看看
12:20
of the mean of the patients耐心 that actually其实 decided决定
283
725000
2000
那些决定要服用“锂”的病人
12:22
to take lithium.
284
727000
2000
的平均结果。
12:24
These are all the patients耐心 that started开始 lithium.
285
729000
2000
这些是所有开始使用“锂”的病人。
12:26
It's the Intent意图 to Treat对待 Curve曲线.
286
731000
2000
统计的意图是绘出治疗曲线。
12:28
You can see here, the blue蓝色 dots on the top最佳, the light ones那些,
287
733000
4000
于是你可以看到,上面淡淡的蓝色的点,
12:32
those are the people in the study研究 in PNASPNAS
288
737000
2000
是那篇PNAS的文章里研究的病人,
12:34
that you wanted to be on. And the red ones那些 are the ones那些,
289
739000
2000
也就是大家都希望得到的结果。而下面那些红色的、
12:36
the pink ones那些 on the bottom底部 are the ones那些 you didn't want to be.
290
741000
2000
粉色的,就是大家都避之惟恐不及的状况。
12:38
And the ones那些 in the middle中间 are all of our patients耐心
291
743000
3000
中间的数据都是来自我们网站的病人,
12:41
from the start开始 of lithium at time zero,
292
746000
2000
以开始服用“锂”的时候为时间零点,
12:43
going forward前锋, and then going backward落后.
293
748000
4000
正数代表服用后,负数代表服用前。
12:47
So, you can see we matched匹配 them perfectly完美, perfectly完美.
294
752000
3000
你可以看到,这些数据完美地一致,
12:50
Terrifyingly可怕 accurate准确 matching匹配.
295
755000
2000
令人惊奇地一致。
12:52
And going forward前锋, you actually其实 don't want to be a lithium patient患者 this time.
296
757000
4000
从服用之后的效果看,这回你就不再会希望自己是服用“锂”的病人了。
12:56
You're actually其实 doing slightly worse更差 -- not significantly显著,
297
761000
2000
因为服药之后,你的病情变得有些恶化了,虽然并不是严重恶化,
12:58
but slightly worse更差. You don't want to be a lithium patient患者 this time.
298
763000
3000
但还是略有恶化。这次你就不希望自己是使用这个药物的病人了。
13:01
But you know, a lot of people dropped下降 out,
299
766000
3000
但是,在这个过程中,很多病人半途放弃了,
13:04
the trial审讯, there is too much drop下降 out.
300
769000
2000
数量非常地多。
13:06
Can we do the even harder更难 thing? Can we go to the patients耐心
301
771000
2000
我们能不能做一件更有难度的事呢?
13:08
that actually其实 decided决定 to stay on lithium,
302
773000
4000
我们能不能去找那些决定持续使用“锂”的病人,
13:12
because they were so convinced相信 they were getting得到 better?
303
777000
2000
因为他们非常坚信他们的病情会得到好转。
13:14
We asked our control控制 algorithm算法,
304
779000
2000
于是我们去查询控制算法的结果,
13:16
are those 69 patients耐心 -- by the way, you'll你会 notice注意
305
781000
2000
有69位病人坚持下来,顺便说一句,
13:18
that's four times the number of patients耐心 in the clinical临床 trial审讯 --
306
783000
3000
你可能会注意到,这个数目是临床试验病人数目的四倍。
13:21
can we look at those patients耐心 and say,
307
786000
3000
我们看着这些数据,就在想,
13:24
"Can we match比赛 them with our time machine
308
789000
3000
我们是否能用我们的时光机器,
13:27
to the other patients耐心 that are just like them,
309
792000
2000
将他们的数据与其他与他们相似的病人比较,
13:29
and what happens发生?"
310
794000
2000
看看会发生什么?
13:31
Even the ones那些 that believed相信 they were getting得到 better
311
796000
3000
结果是,即使是那些相信他们会有所好转的病人,
13:34
matched匹配 the controls控制 exactly究竟. Exactly究竟.
312
799000
3000
他们的结果还是与控制组相同。完全相同。
13:37
Those little lines线? That's the power功率.
313
802000
2000
那些短线是什么呢?那就是强度
13:39
So, we -- I can't tell you lithium doesn't work. I can't tell you
314
804000
2000
于是,我不能告诉你“锂”没有用,
13:41
that if you did it at a higher更高 dose剂量
315
806000
2000
我也不能告诉你如果你使用了更高的剂量,
13:43
or if you run the study研究 proper正确 -- I can tell you
316
808000
2000
就更加准确。我只能告诉你,
13:45
that for those 69 people that took lithium,
317
810000
4000
对于那69名使用了“锂”的病人,
13:49
they didn't do any better than the people that were just like them,
318
814000
2000
他们并没有比类似于他们的病人有明显的改善。
13:51
just like me,
319
816000
2000
象我这样的。 (指普通的人)
13:53
and that we had the power功率 to detect检测 that at about
320
818000
3000
我们用了原来报告中使用的1/4的剂量
13:56
a quarter25美分硬币 of the strengths优势 reported报道 in the initial初始 study研究.
321
821000
3000
检测出这个结论
13:59
We did that one year ahead of the time
322
824000
3000
我们比美国国家卫生研究院赞助第一次临床试验还早一年
14:02
when the first clinical临床 trial审讯 funded资助 by the NIHNIH
323
827000
2000
就完成了这个测试。
14:04
for millions百万 of dollars美元 failed失败 for futility无用 last week,
324
829000
3000
而他们花数百万美元赞助的试验,
14:07
and announced公布 it.
325
832000
3000
却在上周刚刚宣布用那药没有功效
14:10
So, remember记得 I told you about my brother's兄弟 stem cell细胞 transplant移植.
326
835000
3000
所以,记得我曾告诉过你们我弟弟移植干细胞的事。
14:13
I never really knew知道 whether是否 it worked工作.
327
838000
3000
我从来都没有真正了解过这对他是否有效。
14:16
And I put 100 million百万 cells细胞 in his cisterna延髓池 magna麦格纳,
328
841000
3000
是的,我在他的小脑延髓池和腰部脊髓
14:19
in his lumbar cord,
329
844000
2000
植入了一亿个细胞,
14:21
and filled填充 out the IRBs机构审查委员会 and did all this work,
330
846000
2000
并注满了IRBs,完成了这所有的工作,
14:23
and I never really knew知道.
331
848000
3000
我却根本不知道结果如何。
14:26
How did I not know?
332
851000
2000
为什么我会不知道呢?
14:28
I mean, I didn't know what was going to happen发生 to him.
333
853000
2000
我是说,我不知道接下来他会发生什么状况。
14:30
I actually其实 asked Tim蒂姆, who is the quant定量 in our group --
334
855000
3000
我还询问了蒂姆,他是我们组的数据分析师——
14:33
we actually其实 searched搜索 for about a year to find someone有人
335
858000
3000
事实上,我们花了一年时间去找一个
14:36
who could do the sort分类 of math数学 and statistics统计 and modeling造型
336
861000
2000
能做医疗数据的数学分析、统计分析以及建模的人,
14:38
in healthcare卫生保健, couldn't不能 find anybody任何人. So, we went to the finance金融 industry行业.
337
863000
3000
但一个人都找不到。于是,我们把目光投降金融业,
14:41
And there are these guys who used to model模型 the future未来
338
866000
2000
那里有一帮人,对利率走向建模,
14:43
of interest利益 rates利率, and all that kind of stuff东东.
339
868000
2000
以及做其他一些类似的项目。
14:45
And some of them were available可得到. So, we hired雇用 one.
340
870000
3000
他们中有一些人那时正没事做,于是我们就雇了一个。
14:48
(Laughter笑声)
341
873000
3000
(笑)
14:51
We hired雇用 them, set them up, assisting协助 at lab实验室.
342
876000
2000
我们雇佣了这些人,安顿好他们,让他们在实验室帮忙。
14:53
I I.M. him things. That's the way I communicate通信 with him,
343
878000
2000
我发送即时消息给他。这就是我们交流的方式,
14:55
is like a little guy in a box. I I.M.edED Tim蒂姆. I said,
344
880000
2000
像与盒子里的一个小人对话。我给他发送即时消息说,
14:57
"Tim蒂姆 can you tell me whether是否 my brother's兄弟 stem cell细胞 transplant移植
345
882000
2000
“蒂姆,你能告诉我我弟弟的干细胞移植
14:59
worked工作 or not?"
346
884000
3000
是否有效吗?”
15:02
And he sent发送 me this two days ago.
347
887000
3000
于是两天前,他发送了这个给我。
15:05
It was that little outliers离群 there. You see that guy that lived生活 a long time?
348
890000
3000
这里面有一些异常值。你看到那个活了很久的人吗?
15:08
We have to go talk to him. Because I'd like to know what happened发生.
349
893000
2000
我们得去和他谈一谈,因为我希望知道其中的原因。
15:10
Because something went different不同.
350
895000
2000
因为在他身上,有一些因素变化了,
15:12
But my brother哥哥 didn't. My brother哥哥 went straight直行 down the line线.
351
897000
3000
但这并没发生在我弟弟身上,我弟弟的状况沿着这条线急转直下。
15:15
It only works作品 about 12 months个月.
352
900000
2000
这个版本只记录了12个月。
15:17
It's the first version of the time machine.
353
902000
2000
这是时间机器的第一个版本,
15:19
First time we ever tried试着 it. We'll try to get it better later后来
354
904000
2000
杰米 海伍德:我弟弟激发出的好点子
15:21
but 12 months个月 so far.
355
906000
3000
到目前为止只有12个月。
15:24
And, you know, I look at this,
356
909000
4000
我看着这些
15:28
and I get really emotional情绪化.
357
913000
2000
我变得非常激动。
15:30
You look at the patients耐心, you can drill钻头 in all the controls控制,
358
915000
2000
你看看这些病人。你可以尝试所有的控制比较,
15:32
you can look at them, you can ask them.
359
917000
2000
你可以看到他们的变化,你可以询问他们的情况。
15:34
And I found发现 a woman女人 that had --
360
919000
3000
我还发现一个女病人——
15:37
we found发现 her, she was odd because she had data数据
361
922000
2000
我们发现她的异常,
15:39
after she died死亡.
362
924000
2000
因为在她死后还有更新数据。
15:41
And her husband丈夫 had come in and entered进入 her last functional实用 scores分数,
363
926000
3000
原来是她的丈夫登陆了帐号,并输入她最后的功能数据,
15:44
because he knew知道 how much she cared照顾.
364
929000
3000
因为他知道她生前多么在乎这个网站。
15:47
And I am thankful感谢.
365
932000
3000
我很感激。
15:50
I can't believe that these people,
366
935000
2000
我无法相信这些人们,
15:52
years年份 after my brother哥哥 had died死亡,
367
937000
2000
他们在我弟弟死后那么多年,
15:54
helped帮助 me answer回答 the question about whether是否
368
939000
2000
还在帮助我解答
15:56
an operation手术 I did, and spent花费 millions百万 of dollars美元 on
369
941000
3000
数年前我花了百万美元做的那个手术
15:59
years年份 ago, worked工作 or not.
370
944000
2000
是否有效的问题。
16:01
I wished希望 it had been there
371
946000
2000
在我初次建立这个网站的时候,
16:03
when I'd doneDONE it the first time,
372
948000
2000
我希望它早已存在。
16:05
and I'm really excited兴奋 that it's here now,
373
950000
2000
而现在,我为它的存在感到非常激动,
16:07
because the lab实验室 that I founded成立
374
952000
5000
因为我建立的实验室获得了一些
16:12
has some data数据 on a drug药物 that might威力 work,
375
957000
2000
有希望的药物的数据,
16:14
and I'd like to show显示 it.
376
959000
4000
我希望能展示它们。
16:18
I'd like to show显示 it in real真实 time, now,
377
963000
2000
我希望现在就能实时地展示它们。
16:20
and I want to do that for all of the diseases疾病 that we can do that for.
378
965000
5000
我想为所有我们能研究的疾病都展开这样的研究。
16:25
I've got to thank the 45,000 people
379
970000
3000
我得感谢这45,000个参与这个
16:28
that are doing this social社会 experiment实验 with us.
380
973000
3000
社会实验的病人。
16:31
There is an amazing惊人 journey旅程 we are going on
381
976000
3000
这是一个我们一起经历的传奇旅程,
16:34
to become成为 human人的 again,
382
979000
2000
在这一路上,我们再次成为人类,
16:36
to be part部分 of community社区 again,
383
981000
3000
再次融入这个社区,
16:39
to share分享 of ourselves我们自己, to be vulnerable弱势,
384
984000
2000
分享我们自己,变得敏感,
16:41
and it's very exciting扣人心弦. So, thank you.
385
986000
3000
这是十分令人激动的。所以,谢谢你们大家。
16:44
(Applause掌声)
386
989000
5000
(鼓掌)
Translated by Zhihua Dong
Reviewed by Jenny Yang

▲Back to top

ABOUT THE SPEAKER
Jamie Heywood - Healthcare revolutionary
When MIT-trained mechanical engineer Jamie Heywood discovered that his younger brother was diagnosed with the terminal illness ALS, he focused all his energy on founding revolutionary healthcare initiatives to help his brother and others like him.

Why you should listen

After finding out that his brother, Stephen, had the terminal illness ALS, Jamie Haywood founded the ALS Therapy Development Institute in 1999. ALS TDI is the world’s first non-profit biotechnology company and accelerated research on the disease by hiring scientists to develop treatments outside of academia and for-profit corporations. They were the first to publish research on the safety of using stem cells in ALS patients.

In 2005,Jamie and his youngest brother Ben, along with close friend Jeff Cole, built PatientsLikeMe.com to give patients control and access to their healthcare information and compare it to others like them. Its bold (and somewhat controversial) approach involves aggregating users health info in order to test the effects of particular treatments, bypassing clinical trials. It was named one of "15 companies that will change the world" by CNN Money.

Although his brother passed away in the fall of 2006, Jamie continues to serve as chairman of PatientsLikeMe and on the board of directors of ALS TDI. Jamie has raised over $50 million dollars for ALS TDI and was the subject of the biography His Brother’s Keeper, written by Jonathan Weiner. He was also featured in the documentary So Much So Fast, exploring the development of ALS TDI and the personal story of he and Stephen.

More profile about the speaker
Jamie Heywood | Speaker | TED.com

Data provided by TED.

This site was created in May 2015 and the last update was on January 12, 2020. It will no longer be updated.

We are currently creating a new site called "eng.lish.video" and would be grateful if you could access it.

If you have any questions or suggestions, please feel free to write comments in your language on the contact form.

Privacy Policy

Developer's Blog

Buy Me A Coffee