Eric Topol: The wireless future of medicine

50,355 views ใƒป 2010-02-23

TED


ืื ื ืœื—ืฅ ืคืขืžื™ื™ื ืขืœ ื”ื›ืชื•ื‘ื™ื•ืช ื‘ืื ื’ืœื™ืช ืœืžื˜ื” ื›ื“ื™ ืœื”ืคืขื™ืœ ืืช ื”ืกืจื˜ื•ืŸ.

ืžืชืจื’ื: Shaike Katz ืžื‘ืงืจ: Sigal Tifferet
00:15
Does anybody know when the stethoscope was invented?
0
15260
5000
ื”ืื ืžื™ืฉื”ื• ื™ื•ื“ืข ืžืชื™ ื”ื•ืžืฆื ื”ืกื˜ื˜ื•ืกืงื•ืค?
00:20
Any guesses? 1816.
1
20260
3000
ืžื™ืฉื”ื• ืจื•ืฆื” ืœื ื—ืฉ? 1816.
00:23
And what I can say is, in 2016,
2
23260
3000
ื•ืื ื™ ื™ื›ื•ืœ ืœื•ืžืจ ืฉื‘ 2016,
00:26
doctors aren't going to be walking around with stethoscopes.
3
26260
2000
ืจื•ืคืื™ื ืœื ื™ืกืชื•ื‘ื‘ื• ืขื ืกื˜ื˜ื•ืกืงื•ืคื™ื.
00:28
There's a whole lot better technology coming,
4
28260
2000
ื™ืฉ ื‘ื“ืจืš ื˜ื›ื ื•ืœื•ื’ื™ื” ื”ืจื‘ื” ื™ื•ืชืจ ื˜ื•ื‘ื”.
00:30
and that's part of the change in medicine.
5
30260
3000
ื•ื–ื” ื—ืœืง ืžื”ืฉื™ื ื•ื™ ื‘ืจืคื•ืื”.
00:33
What has changed our society
6
33260
3000
ืžื” ืฉืฉื™ื ื” ืืช ื”ื—ื‘ืจื” ืฉืœื ื•
00:36
has been wireless devices.
7
36260
2000
ื”ื ืžื›ืฉื™ืจื™ื ืืœื—ื•ื˜ื™ื™ื.
00:38
But the future are digital medical wireless devices, OK?
8
38260
5000
ืื‘ืœ ื”ืขืชื™ื“ ื”ื•ื ืžื›ืฉื™ืจื™ื ืจืคื•ืื™ื™ื ื“ื™ื’ื™ื˜ืœื™ื™ื ืืœื—ื•ื˜ื™ื™ื, ื‘ืกื“ืจ?
00:43
So, let me give you some examples of this
9
43260
2000
ืชืจืฉื• ืœื™ ืœื”ืจืื•ืช ืœื›ื ื›ืžื” ื“ื•ื’ืžืื•ืช ืœื›ืš
00:45
to kind of make this much more concrete.
10
45260
3000
ื›ื“ื™ ืœื”ืžื—ื™ืฉ ืืช ื–ื”.
00:48
This is the first one. This is an electrocardiogram.
11
48260
3000
ื–ื” ื”ืจืืฉื•ืŸ. ื–ื• ืืœืงื˜ืจื•ืงืจื“ื™ื•ื’ืจืืžื”.
00:51
And, as a cardiologist, to think that you could see in real time
12
51260
3000
ื•ื‘ืชื•ืจ ืงืจื“ื™ื•ืœื•ื’, ืœื—ืฉื•ื‘ ืฉืชื•ื›ืœ ืœืจืื•ืช ื‘ื–ืžืŸ ืืžืช
00:54
a patient, an individual, anywhere in the world
13
54260
3000
ื—ื•ืœื”, ืื™ื ื“ื™ื‘ื™ื“ื•ืืœ, ื‘ื›ืœ ืžืงื•ื ื‘ืขื•ืœื
00:57
on your smartphone,
14
57260
2000
ื‘ื˜ืœืคื•ืŸ ื”ื—ื›ื ืฉืœืš,
00:59
watching your rhythm -- that's incredible,
15
59260
2000
ืœืจืื•ืช ืืช ืงืฆื‘ ื”ืœื‘, ื–ื” ืžื“ื”ื™ื.
01:01
and it's with us today.
16
61260
2000
ื•ื–ื” ืžืฉื”ื• ืฉื™ืฉ ืœื ื• ื”ื™ื•ื.
01:03
But that's just the beginning.
17
63260
3000
ืื‘ืœ ื–ื• ืจืง ื”ื”ืชื—ืœื”.
01:06
You check your email while you're sitting here.
18
66260
3000
ืืชื ื‘ื•ื“ืงื™ื ืื™ืžื™ื™ืœ ื›ืฉืืชื ื™ื•ืฉื‘ื™ื ืคื”.
01:09
In the future you're going to be checking all your vital signs,
19
69260
4000
ื‘ืขืชื™ื“ ืชื‘ื“ืงื• ืืช ื›ืœ ื”ืžื“ื“ื™ื ื”ื—ื™ื•ื ื™ื™ื ืฉืœื›ื,
01:13
all your vital signs: your heart rhythm,
20
73260
2000
ื›ืœ ื”ืžื“ื“ื™ื ื”ื—ื™ื•ื ื™ื™ื, ืงืฆื‘ ื”ืœื‘ ืฉืœื›ื,
01:15
your blood pressure, your oxygen, your temperature, etc.
21
75260
4000
ืœื—ืฅ ื”ื“ื ืฉืœื›ื, ืจืžืช ื”ื—ืžืฆืŸ, ื”ื˜ืžืคืจื˜ื•ืจื” ืฉืœื›ื, ื•ื›ื•'.
01:19
This is already available today.
22
79260
2000
ื–ื” ื›ื‘ืจ ืืคืฉืจื™ ื”ื™ื•ื.
01:21
This is AirStrip Technologies.
23
81260
2000
ื–ื” ืฉืœ AirStrip Technologies.
01:23
It's now wired -- or I should say, wireless --
24
83260
4000
ืขื›ืฉื™ื• ื–ื” ืžื—ื•ื‘ืจ, ืื• ืื•ืœื™ ืื ื™ ืฆืจื™ืš ืœื•ืžืจ ืืœื—ื•ื˜ื™
01:27
by taking the aggregate of these signals
25
87260
2000
ืขืœ ื™ื“ื™ ืฆื™ืจื•ืฃ ื›ืœ ื”ืื•ืชื•ืช ื”ืืœื”
01:29
in the hospital, in the intensive care unit,
26
89260
2000
ื‘ื‘ื™ืช ื”ื—ื•ืœื™ื, ื‘ื™ื—ื™ื“ื” ืœื˜ื™ืคื•ืœ ื ืžืจืฅ,
01:31
and putting it on a smartphone for physicians.
27
91260
3000
ื•ื”ืฆื’ื” ืฉืœื”ื ืขืœ ื˜ืœืคื•ืŸ ื—ื›ื ืขื‘ื•ืจ ืจื•ืคืื™ื.
01:34
If you're an expectant parent,
28
94260
2000
ืื ืืชื” ื”ื•ืจื” ืฉืžืฆืคื” ืœืชื™ื ื•ืง,
01:36
what about the ability to monitor, continuously,
29
96260
3000
ืžื” ืœื’ื‘ื™ ื”ื™ื›ื•ืœืช ืœื ื˜ืจ, ื‘ืื•ืคืŸ ืžืชืžืฉืš,
01:39
fetal heart rate, or intrauterine contractions,
30
99260
3000
ืืช ืงืฆื‘ ื”ืœื‘ ื”ืขื•ื‘ืจื™, ืื• ื”ืชื›ื•ื•ืฆื•ื™ื•ืช ืชื•ืš-ืจื—ืžื™ื•ืช,
01:42
and not having to worry so much that things are
31
102260
3000
ื•ืื– ืœื“ืื•ื’ ืคื—ื•ืช ืœื’ื‘ื™ ื”ื“ื‘ืจื™ื
01:45
fine as the pregnancy,
32
105260
2000
ืฉืฆืจื™ื›ื™ื ืœื”ื™ื•ืช ืชืงื™ื ื™ื ื‘ื”ืจื™ื•ืŸ,
01:47
and moving over into the time of delivery?
33
107260
3000
ื•ื‘ื”ืžืฉืš ื’ื ื‘ื–ืžืŸ ื”ืœื™ื“ื”.
01:50
And then as we go further,
34
110260
3000
ื•ืื– ืื ื—ื ื• ืžืชืงื“ืžื™ื,
01:53
today we have continuous glucose sensors.
35
113260
2000
ื”ื™ื•ื ื™ืฉ ืœื ื• ื—ื™ื™ืฉื ื™ ื’ืœื•ืงื•ื–ื” ืจืฆื™ืคื™ื.
01:55
Right now, they are under the skin,
36
115260
2000
ื›ืจื’ืข ื”ื ืชื—ืช ื”ืขื•ืจ.
01:57
but in the future, they won't have to be implanted.
37
117260
4000
ืื‘ืœ ื‘ืขืชื™ื“ ืœื ื ืฆื˜ืจืš ืœื”ืฉืชื™ืœ ืื•ืชื.
02:01
And of course, the desired range -- trying to keep glucose
38
121260
2000
ื•ื›ืžื•ื‘ืŸ, ื”ื˜ื•ื•ื— ื”ืจืฆื•ื™, ื›ืฉืžื ืกื™ื ืœืฉืžื•ืจ ืืช ื”ื’ืœื•ืงื•ื–ื”
02:03
between 75 and less than 200,
39
123260
4000
ื‘ื™ืŸ 75 ื•ืคื—ื•ืช ืž 200,
02:07
checking it every five minutes in a continuous glucose sensor --
40
127260
3000
ื•ื‘ื•ื“ืงื™ื ื–ืืช ื›ืœ ื—ืžืฉ ื“ืงื•ืช ื‘ื—ื™ื™ืฉืŸ ื’ืœื•ืงื•ื–ื” ืจืฆื™ืฃ,
02:10
you'll see how that can impact diabetes.
41
130260
2000
ื ื™ืชืŸ ืœืจืื•ืช ืื™ืš ื–ื” ื™ื›ื•ืœ ืœื”ืฉืคื™ืข ืขืœ ืกื•ื›ืจืช.
02:12
And what about sleep?
42
132260
2000
ื•ืžื” ืœื’ื‘ื™ ืฉื™ื ื”?
02:14
We're going to zoom in on that a little bit.
43
134260
2000
ืื ื—ื ื• ื ืชืžืงื“ ื‘ื–ื” ืงืฆืช.
02:16
We're supposed to spend a third of our life in sleep.
44
136260
2000
ืื ื—ื ื• ืืžื•ืจื™ื ืœื‘ืœื•ืช ืฉืœื™ืฉ ืžื”ื—ื™ื™ื ื‘ืฉื™ื ื”.
02:18
What if, on your phone,
45
138260
2000
ืžื” ืื, ื‘ื˜ืœืคื•ืŸ ืฉืœื›ื,
02:20
which will be available in the next few weeks,
46
140260
2000
ื•ื–ื” ื™ื”ื™ื” ื–ืžื™ืŸ ื‘ืžื”ืœืš ื”ืฉื‘ื•ืขื•ืช ื”ืงืจื•ื‘ื™ื,
02:22
you had every minute of your sleep displayed?
47
142260
3000
ืชื”ื™ื” ืœื›ื ืชืฆื•ื’ื” ืฉืœ ื›ืœ ื“ืงืช ืฉื™ื ื”.
02:25
And this is, of course, as you can see, the awake is the orange.
48
145260
3000
ื•ื›ืืŸ, ื›ืžื•ื‘ืŸ, ื›ืคื™ ืฉื ื™ืชืŸ ืœืจืื•ืช, ื–ืžืŸ ื”ืขื™ืจื•ืช ื”ื•ื ื›ืชื•ื.
02:28
The REM sleep, rapid eye movement,
49
148260
2000
ืฉื ืช ื” REM, ืชื ื•ืขื•ืช ืขื™ื ื™ื™ื ืžื”ื™ืจื•ืช,
02:30
dream state, is in light green;
50
150260
2000
ืžืฆื‘ ื—ืœื•ื ื”ื•ื ื‘ื™ืจื•ืง ื‘ื”ื™ืจ.
02:32
and light is gray, light sleep;
51
152260
2000
ื•ืฉื™ื ื” ืงืœื” ื”ื™ื ื‘ืืคื•ืจ.
02:34
and deep sleep, the best restorative sleep,
52
154260
2000
ื•ืฉื™ื ื” ืขืžื•ืงื”, ื”ืฉื™ื ื” ื”ื˜ื•ื‘ื” ื•ื”ืžื—ื–ืงืช
02:36
is that dark green.
53
156260
2000
ื”ื™ื ื”ื™ืจื•ืง ื”ื›ื”ื”.
02:38
How about counting every calorie?
54
158260
2000
ืžื” ืœื’ื‘ื™ ืกืคื™ืจืช ื›ืœ ืงืœื•ืจื™ื”?
02:40
And this is ability, in real time, to actually take
55
160260
3000
ื•ื–ื• ื™ื›ื•ืœืช, ื‘ื–ืžืŸ ืืžืช,
02:43
measurements of caloric intake
56
163260
2000
ืœืžื“ื•ื“ ืฆืจื™ื›ืช ืงืœื•ืจื™ื•ืช
02:45
as well as expenditure, through a Band-Aid.
57
165260
3000
ื‘ืžืงื‘ื™ืœ ืœื”ื•ืฆืืช ืงืœื•ืจื™ื•ืช, ื‘ืืžืฆืขื•ืช ืคืœืกื˜ืจ.
02:48
Now, what I've talked about are physiologic metrics.
58
168260
3000
ืขื“ ืขื›ืฉื™ื• ื“ื™ื‘ืจืชื™ ืขืœ ืžื“ื“ื™ื ืคื™ื–ื™ื•ืœื•ื’ื™ื™ื.
02:51
But what I want to get to, the next frontier,
59
171260
3000
ืื‘ืœ ืžื” ืฉืื ื™ ืจื•ืฆื” ืœื”ื’ื™ืข ืืœื™ื•, ื”ื—ื–ื™ืช ื”ื‘ืื”,
02:54
very quickly, and why the stethoscope
60
174260
2000
ื•ื‘ืžื”ื™ืจื•ืช, ื•ื”ืกื™ื‘ื” ืฉื”ืกื˜ื˜ื•ืกืงื•ืค
02:56
is on its way out,
61
176260
2000
ื”ื•ื ื‘ื“ืจื›ื• ื”ื—ื•ืฆื”,
02:58
is because we can transcend listening to the valve sounds,
62
178260
4000
ื”ื™ื ืฉืืคืฉืจ ืœื”ืชืขืœื•ืช ืžืขืœ ื”ืื–ื ื” ืœืงื•ืœื•ืช ื”ืžืขื™ื™ื,
03:02
and the breath sounds, because now,
63
182260
2000
ื•ืงื•ืœื•ืช ื”ื ืฉื™ืžื”, ื›ื™ ืขื›ืฉื™ื•,
03:04
introduced by G.E. is a handheld ultra-sound.
64
184260
3000
ื’'ื ืจืœ ืืœืงื˜ืจื™ืง ืžืฆื™ื’ื™ื ืžื›ืฉื™ืจ ื›ืฃ-ื™ื“ ืขื ืื•ืœื˜ืจืกืื•ื ื“.
03:07
Why is this important? Because this is so much more sensitive.
65
187260
3000
ืœืžื” ื–ื” ื—ืฉื•ื‘? ื›ื™ ื–ื” ื”ืจื‘ื” ื™ื•ืชืจ ืจื’ื™ืฉ.
03:10
Here is an example of an abdominal ultrasound,
66
190260
3000
ื”ื ื” ื“ื•ื’ืžื” ืœืื•ืœื˜ืจืกืื•ื ื“ ื‘ื˜ืŸ.
03:13
and also a cardiac echo, which can be sent wireless,
67
193260
4000
ื•ื’ื ืœืืงื• ืœื‘, ืฉืืคืฉืจ ืœืฉืœื•ื— ืืœื—ื•ื˜ื™ืช.
03:17
and then there's an example of fetal monitoring on your smartphone.
68
197260
4000
ื•ื”ื ื” ื“ื•ื’ืžื” ืฉืœ ื ื™ื˜ื•ืจ ืขื•ื‘ืจื™ ื‘ื˜ืœืคื•ืŸ ื”ื—ื›ื ืฉืœื›ื.
03:21
So, we're not just talking about physiologic metrics --
69
201260
3000
ืื– ืื ื—ื ื• ืœื ืžื“ื‘ืจื™ื ืจืง ืขืœ ืžื“ื“ื™ื ืคื™ื–ื™ื•ืœื•ื’ื™ื™ื,
03:24
the key measurements of vital signs,
70
204260
3000
ืžื“ื™ื“ื•ืช ื—ืฉื•ื‘ื•ืช ืฉืœ ืžื“ื“ื™ื ื—ื™ื•ื ื™ื™ื,
03:27
and all those things in physiology -- but also all the imaging
71
207260
3000
ื•ื›ืœ ื”ื“ื‘ืจื™ื ื”ืืœื” ื‘ืคื™ื–ื™ื•ืœื•ื’ื™ื”, ืืœื ื’ื ื›ืœ ื”ื“ื™ืžื•ืช
03:30
that one could look at in your smartphone.
72
210260
2000
ืฉืืชื ื™ื›ื•ืœื™ื ืœืจืื•ืช ื‘ื˜ืœืคื•ืŸ ื”ื—ื›ื ืฉืœื›ื.
03:32
Now, this is an example of another obsolete technology,
73
212260
4000
ืขื›ืฉื™ื•, ื–ื• ื“ื•ื’ืžื” ืฉืœ ืขื•ื“ ื˜ื›ื ื•ืœื•ื’ื™ื” ืฉืขื‘ืจ ื–ืžื ื”,
03:36
soon to be buried: the Holter Monitor.
74
216260
2000
ืฉื‘ืงืจื•ื‘ ื™ืงื‘ืจื• ืื•ืชื”, ืžื•ื ื™ื˜ื•ืจ Holter.
03:38
Twenty-four hour recording, lots of wires.
75
218260
2000
ื”ืงืœื˜ื” ืฉืœ 24 ืฉืขื•ืช, ื”ืžื•ืŸ ื—ื•ื˜ื™ื.
03:40
This is now a little tiny patch.
76
220260
2000
ืขื›ืฉื™ื• ื–ื• ืžื“ื‘ืงื” ืงื˜ื ื˜ื•ื ืช.
03:42
You can put it on for two weeks
77
222260
2000
ืืคืฉืจ ืœืฉื™ื ืื•ืชื” ืœืžืฉืš ืฉื‘ื•ืขื™ื™ื
03:44
and send it in the mail.
78
224260
3000
ื•ืœืฉืœื•ื— ืื•ืชื” ื‘ื“ื•ืืจ.
03:47
Now, how does this work? Well,
79
227260
2000
ืขื›ืฉื™ื•, ืื™ืš ื–ื” ืขื•ื‘ื“? ื•ื‘ื›ืŸ,
03:49
there is these smart Band-Aids or these sensors
80
229260
2000
ื™ืฉ ืืช ื”ืคืœืกื˜ืจื™ื ื”ื—ื›ืžื™ื ืื• ื”ื—ื™ื™ืฉื ื™ื ื”ืืœื”
03:51
that one would put on, on a shoe or on the wrist.
81
231260
3000
ืฉืžื™ืฉื”ื• ืฉื, ืขืœ ื ืขืœ ืื• ืขืœ ืคืจืง ื”ื™ื“.
03:54
And this sends a signal
82
234260
3000
ื•ื–ื” ืฉื•ืœื— ืื•ืช.
03:57
and it creates a body area network to a gateway.
83
237260
4000
ื–ื” ื™ื•ืฆืจ ืจืฉืช ื‘ื™ืŸ ื”ื’ื•ืฃ ืœื ืงื•ื“ืช ืชืงืฉื•ืจืช.
04:01
Gateway could be a smartphone or it could be a dedicated gateway,
84
241260
3000
ื ืงื•ื“ืช ื”ืชืงืฉื•ืจืช ื™ื›ื•ืœื” ืœื”ื™ื•ืช ื˜ืœืคื•ืŸ ื—ื›ื ืื• ืžื›ืฉื™ืจ ื™ื™ืขื•ื“ื™,
04:04
as today many of these things are dedicated gateways,
85
244260
2000
ื›ืฉื”ื™ื•ื ื”ืจื‘ื” ืžื”ื“ื‘ืจื™ื ื”ืืœื” ื”ื ื ืงื•ื“ืช ืชืงืฉื•ืจืช ื™ื™ืขื•ื“ื™ืช,
04:06
because they are not so well integrated.
86
246260
2000
ื›ื™ ื”ื ืœื ืžืฉื•ืœื‘ื™ื ื‘ืฆื•ืจื” ืžืกืคื™ืง ื˜ื•ื‘ื”.
04:08
That signal goes to the web, the cloud,
87
248260
3000
ื”ืื•ืช ื”ื•ืœืš ืœืื™ื ื˜ืจื ื˜, ืœืขื ืŸ,
04:11
and then it can be processed and sent anywhere:
88
251260
2000
ื•ืื– ืืคืฉืจ ืœืขื‘ื“ ื•ืœืฉืœื•ื— ืื•ืชื• ืœื›ืœ ืžืงื•ื,
04:13
to a caregiver, to a physician,
89
253260
2000
ืœืžื˜ืคืœ, ืœืจื•ืคื,
04:15
back to the patient, etc.
90
255260
2000
ื—ื–ืจื” ืœื—ื•ืœื”, ื•ื›ื•'.
04:17
So, that's basically very simplistic technology
91
257260
3000
ื–ื” ืœืžืขืฉื” ื”ื”ืกื‘ืจ ื”ื˜ื›ื ื•ืœื•ื’ื™ ื”ืคืฉื•ื˜
04:20
of how this works.
92
260260
2000
ืฉืœ ืื™ืš ื–ื” ืขื•ื‘ื“.
04:22
Now, I have this device on.
93
262260
2000
ืขื›ืฉื™ื•, ื”ืžื›ืฉื™ืจ ื”ื–ื” ื ืžืฆื ืขืœื™.
04:24
I didn't want to take my shirt off to show you, but I can tell you it's on.
94
264260
3000
ืื ื™ ืœื ืื•ืจื™ื“ ื—ื•ืœืฆื” ื›ื“ื™ ืœื”ืจืื•ืช ืœื›ื, ืื‘ืœ ื”ื•ื ืขืœื™.
04:27
This is a device that not only measures cardiac rhythm,
95
267260
4000
ื–ื” ืžื›ืฉื™ืจ ืฉืœื ืจืง ืžื•ื“ื“ ืงืฆื‘ ืœื‘,
04:31
as you saw already,
96
271260
2000
ื›ืžื• ืฉื›ื‘ืจ ืจืื™ืชื,
04:33
but it also goes well beyond that.
97
273260
3000
ืืœื ื”ืจื‘ื” ืžืขื‘ืจ ืœื–ื”.
04:36
This is me now. And you can see the ECG.
98
276260
3000
ื–ื” ืื ื™ ืขื›ืฉื™ื•. ื•ืืชื ื™ื›ื•ืœื™ื ืœืจืื•ืช ืืช ื”ืืง"ื’.
04:39
Below that's the actual heart rate and the trend;
99
279260
3000
ืžืชื—ืช ืœื–ื” ื ืžืฆื ืงืฆื‘ ื”ืœื‘ ื•ื”ื›ื™ื•ื•ืŸ.
04:42
to the right of that is a bioconductant.
100
282260
2000
ืžื™ืžื™ืŸ ืœื–ื” ื™ืฉ ื‘ื™ื•-ืžื•ืœื™ืš.
04:44
That's the fluid status,
101
284260
2000
ื–ื” ืžืฆื‘ ื”ื ื•ื–ืœื™ื,
04:46
fluid status, that's really important
102
286260
2000
ืžืฆื‘ ื”ื ื•ื–ืœื™ื ื”ื•ื ืžืื“ ื—ืฉื•ื‘
04:48
if you're monitoring somebody with heart failure.
103
288260
2000
ืื ืžื ื˜ืจื™ื ืžื™ืฉื”ื• ืขื ื‘ืขื™ื•ืช ืœื‘.
04:50
And below that's temperature,
104
290260
2000
ืžืชื—ืช ืœื–ื” ื–ื• ื”ื˜ืžืคืจื˜ื•ืจื”,
04:52
and respiration, and oxygen,
105
292260
2000
ื•ื”ื ืฉื™ืžื”, ื•ื”ื—ืžืฆืŸ.
04:54
and then the position activity.
106
294260
2000
ื•ืื– ืฉื™ื ื•ื™ื™ ืชื ื•ื—ื”.
04:56
So, this is really striking, because this device
107
296260
3000
ืื– ื–ื” ืžืžืฉ ืžื“ื”ื™ื, ื›ื™ ื”ืžื›ืฉื™ืจ ื”ื–ื”
04:59
measures seven things
108
299260
2000
ืžื•ื“ื“ ืฉื‘ืขื” ื“ื‘ืจื™ื
05:01
that are very much vital signs
109
301260
3000
ืฉื”ื ืœืžืขืฉื” ืžื“ื“ื™ื ื—ื™ื•ื ื™ื™ื
05:04
for monitoring someone with heart failure. OK?
110
304260
4000
ืœื ื™ื˜ื•ืจ ืฉืœ ืื“ื ืขื ื‘ืขื™ื•ืช ืœื‘. ื‘ืกื“ืจ?
05:08
And why is this important? Well,
111
308260
2000
ื•ืœืžื” ื–ื” ื—ืฉื•ื‘? ื˜ื•ื‘,
05:10
this is the most expensive bed.
112
310260
3000
ื–ื• ื”ืžื™ื˜ื” ื”ื›ื™ ื™ืงืจื”.
05:13
What if we could reduce the need for hospital beds?
113
313260
3000
ืžื” ืื ื™ื›ื•ืœื ื• ืœืฆืžืฆื ืืช ื”ืฆื•ืจืš ืœืžื™ื˜ื•ืช ื‘ื™ืช ื—ื•ืœื™ื?
05:16
Well, we can. First of all, heart failure
114
316260
2000
ืื– ืื ื—ื ื• ืœื ื™ื›ื•ืœื™ื. ืงื•ื“ื ื›ืœ, ื‘ืขื™ื•ืช ืœื‘
05:18
is the number one reason
115
318260
3000
ื”ืŸ ื”ืกื™ื‘ื” ืžืกืคืจ ืื—ืช
05:21
for hospital admissions and readmissions in this country.
116
321260
3000
ืœืืฉืคื•ื–ื™ื ื•ืืฉืคื•ื–ื™ื ื—ื•ื–ืจื™ื ื‘ืžื“ื™ื ื” ื”ื–ื•.
05:24
The cost of heart failure is 37 billion dollars a year,
117
324260
5000
ืขืœื•ืช ื‘ืขื™ื•ืช ื”ืœื‘ ื”ื™ื 37 ืžื™ืœื™ืืจื“ ื“ื•ืœืจ ื‘ืฉื ื”,
05:29
which is 80 percent related to hospitalization.
118
329260
3000
ืฉ 80 ืื—ื•ื– ืžืชื•ื›ื ืงืฉื•ืจื™ื ืœืืฉืคื•ื–.
05:32
And in the course of 30 days after a hospital stay
119
332260
3000
ื•ื‘ืžื”ืœืš 30 ื™ื•ื ืœืื—ืจ ืฉื”ื™ื™ื” ื‘ื‘ื™ืช ื—ื•ืœื™ื
05:35
for a Medicare greater than 65 years or older,
120
335260
3000
ืฉืœ ื—ื•ืœื” ื‘ืขืœ ื‘ื™ื˜ื•ื— ื‘ืจื™ืื•ืช ืžืขืœ ื’ื™ืœ 65,
05:38
is -- 27 percent are readmitted in 30 days,
121
338260
3000
27 ืื—ื•ื–ื™ื ืžืชืืฉืคื–ื™ื ืฉื•ื‘ ืชื•ืš 30 ื™ื•ื.
05:41
and by six months, over 56 percent are readmitted.
122
341260
4000
ื•ื‘ืžื”ืœืš ืฉืฉื” ื—ื•ื“ืฉื™ื, ืžืขืœ 56 ืื—ื•ื–ื™ื ืžืชืืฉืคื–ื™ื ืžื—ื“ืฉ.
05:45
So, can we improve that? Well the idea is
123
345260
2000
ืื– ื”ืื ืืคืฉืจ ืœืฉืคืจ ืืช ื–ื”? ื”ืจืขื™ื•ืŸ ื”ื•ื
05:47
we take this device that I'm wearing,
124
347260
2000
ืœืงื—ืช ืืช ื”ืžื›ืฉื™ืจ ื”ื–ื” ืฉื™ืฉ ืขืœื™,
05:49
and we put it on 600 patients with heart failure,
125
349260
4000
ื•ืœืฉื™ื ืื•ืชื• ืขืœ 600 ื—ื•ืœื™ ืœื‘,
05:53
randomly assigned, versus 600 patients
126
353260
2000
ืฉื ื‘ื—ืจื• ืืงืจืื™ืช, ืžื•ืœ 600 ื—ื•ืœื™ื
05:55
who don't have active monitoring,
127
355260
2000
ืฉืื™ืŸ ืœื”ื ื ื™ื˜ื•ืจ ืืงื˜ื™ื‘ื™,
05:57
and see whether we can reduce heart failure readmissions,
128
357260
3000
ื•ืœืจืื•ืช ื”ืื ืืคืฉืจ ืœืฆืžืฆื ืืฉืคื•ื–ื™ื ื—ื•ื–ืจื™ื ืขื ื‘ืขื™ื•ืช ืœื‘.
06:00
and that's exciting. And we'll start that trial,
129
360260
2000
ื•ื–ื” ืžืจื’ืฉ. ื•ืื ื—ื ื• ื ืชื—ื™ืœ ืืช ื”ื ื™ืกื•ื™ ื”ื–ื”,
06:02
and you'll hear more about how we're going to do that,
130
362260
2000
ื•ืืชื ืชืฉืžืขื• ืขื•ื“ ืขืœ ืื™ืš ื ืขืฉื” ืืช ื–ื”.
06:04
but that's a type of wireless device trial
131
364260
3000
ืื‘ืœ ื–ื” ืกื•ื’ ืฉืœ ื ื™ืกื•ื™ ื‘ืžื›ืฉื™ืจ ืืœื—ื•ื˜ื™
06:07
that could change medicine in the years ahead.
132
367260
3000
ืฉื™ื›ื•ืœ ืœืฉื ื•ืช ืืช ื”ืจืคื•ืื” ื‘ืฉื ื™ื ื”ื‘ืื•ืช.
06:10
Why now? Why has this all of a sudden become
133
370260
3000
ืœืžื” ืขื›ืฉื™ื•? ืœืžื” ืคืชืื•ื ืขื›ืฉื™ื• ื–ื” ื”ื•ืคืš
06:13
a reality, an exciting direction in the future of medicine?
134
373260
4000
ืœืžืฆื™ืื•ืช, ืœื›ื™ื•ื•ืŸ ืžืจืชืง ื‘ืขืชื™ื“ ื”ืจืคื•ืื”?
06:17
What we have is, in a way, a perfect positive storm.
135
377260
4000
ืžื” ืฉื™ืฉ ืœื ื•, ื‘ืขืฆื, ื”ื™ื ืกืขืจื” ื˜ื›ื ื•ืœื•ื’ื™ืช ืžื•ืฉืœืžืช .
06:21
This sets up consumer-driven healthcare.
136
381260
2000
ื–ื” ื™ื•ืฆืจ ืฉื™ืจื•ืชื™ ื‘ืจื™ืื•ืช ื”ืžื•ื ืขื™ื ืข"ื™ ืฆืจื›ื ื™ื.
06:23
That's where this is all starting.
137
383260
2000
ื–ื” ื”ืžืงื•ื ื‘ื• ื”ื›ืœ ืžืชื—ื™ืœ.
06:25
Let me just give you specifics about why this is
138
385260
3000
ืชืจืฉื• ืœื™ ืœืคืจื˜ ืขื‘ื•ืจื›ื ืœืžื” ื–ื• ืชื ื•ืขื” ื’ื“ื•ืœื”,
06:28
a big movement if you're not aware of it:
139
388260
2000
ืœืžืจื•ืช ืฉืืชื ืœื ืžื•ื“ืขื™ื ืœื”.
06:30
1.2 million Americans
140
390260
2000
1.2 ืžื™ืœื™ื•ืŸ ืืžืจื™ืงืื™ื
06:32
have gotten a Nike shoe, which is a body-area network
141
392260
3000
ืงื™ื‘ืœื• ื ืขืœ ื ื™ื™ืง, ืฉื™ื•ืฆืจืช ืจืฉืช ื‘ื™ืŸ ื”ื’ื•ืฃ,
06:35
that connects the shoe, the sole of the shoe to the iPhone, or an iPod.
142
395260
4000
ืฉืžื—ื‘ืจืช ืืช ืกื•ืœื™ื™ืช ื”ื ืขืœ, ืœืื™ื™ืคื•ืŸ ืื• ืœืื™ื™ืคื•ื“.
06:39
And this Wired Magazine cover article
143
399260
2000
ื•ื›ืชื‘ืช ื”ืฉืขืจ ืฉืœ ืžื’ื–ื™ืŸ Wired
06:41
really captured a lot of this; it talked a lot about the Nike shoe
144
401260
3000
ื”ืฆื™ื’ื” ืืช ื–ื” ื™ืคื”. ื”ื›ืชื‘ื” ืคื™ืจื˜ื” ื”ืจื‘ื” ืขืœ ื ืขืœ ื”ื ื™ื™ืง
06:44
and how quickly that's been adopted to monitor exercise physiology
145
404260
3000
ื•ื›ืžื” ืžื”ืจ ื”ื™ื ืื•ืžืฆื” ืœื ื™ื˜ื•ืจ ืคื™ื–ื™ื•ืœื•ื’ื™ื” ืฉืœ ืื™ืžื•ืŸ ื’ื•ืคื ื™
06:47
and energy expenditure.
146
407260
2000
ื•ื”ื•ืฆืืช ืื ืจื’ื™ื”.
06:49
Here are some things, the principles
147
409260
2000
ื”ื ื” ื›ืžื” ื“ื‘ืจื™ื, ื”ืขืงืจื•ื ื•ืช
06:51
that are guiding principles to keep in mind:
148
411260
2000
ืฉื”ื ืขืงืจื•ื ื•ืช ืžื ื—ื™ื ืฉื›ื“ืื™ ืœื–ื›ื•ืจ:
06:53
"A data-driven health revolution
149
413260
2000
"ืžื”ืคื›ื” ืจืคื•ืื™ืช ื”ืžื•ื ืขืช ืข"ื™ ื ืชื•ื ื™ื
06:55
promises to make us all
150
415260
2000
ืžื‘ื˜ื™ื—ื” ืœื›ื•ืœื ื• ืœื”ื™ื•ืช
06:57
better, faster, and stronger. Living by numbers."
151
417260
3000
ื˜ื•ื‘ื™ื ื™ื•ืชืจ ื•ื—ื–ืงื™ื ื™ื•ืชืจ. ื—ื™ื™ื ืœืคื™ ืžืกืคืจื™ื."
07:00
And this one, which is really telling,
152
420260
2000
ื•ื–ื”, ืฉืžืžืฉ ืืžืจ ืืช ื”ื“ื‘ืจื™ื,
07:02
this was from July, this cover article:
153
422260
3000
ื–ื” ืžื™ื•ืœื™, ื›ืชื‘ืช ื”ืฉืขืจ ื”ื–ื•.
07:05
"The personal metrics movement goes way beyond
154
425260
3000
"ืชื ื•ืขืช ื”ืžื“ื™ื“ื” ื”ืขืฆืžื™ืช ื”ื•ืœื›ืช ืžืขื‘ืจ
07:08
diet and exercise. It's about tracking every facet
155
428260
3000
ืœื“ื™ืื˜ื” ื•ืคืขื™ืœื•ืช ื’ื•ืคื ื™ืช. ื”ื™ื ืงืฉื•ืจื” ืœืžืขืงื‘ ืขืœ ื›ืœ ืคืŸ ื‘ื—ื™ื™ื,
07:11
of life, from sleep to mood to pain,
156
431260
2000
ืžืฉื™ื ื” ื“ืจืš ืžืฆื‘ ืจื•ื— ืœื›ืื‘,
07:13
24/7/365."
157
433260
3000
24/7/365".
07:16
Well, I tried this device.
158
436260
3000
ืื– ื ื™ืกื™ืชื™ ืืช ื”ืžื›ืฉื™ืจ ื”ื–ื”.
07:19
A lot of you have gotten that Phillips Direct Life.
159
439260
3000
ืœืจื‘ื™ื ืžื›ื ื™ืฉ ืืช ืžื›ืฉื™ืจ ื”ืขืงื™ื‘ื” ืฉืœ ืคื™ืœื™ืคืก.
07:22
I didn't have one of those,
160
442260
2000
ืœื™ ืœื ื”ื™ื” ืื—ื“ ืžืืœื”,
07:24
but I got the Fitbit.
161
444260
2000
ืื‘ืœ ืœืงื—ืชื™ ืืช ืžื›ืฉื™ืจ ื” FitBit.
07:26
That looks like this.
162
446260
2000
ื–ื” ื ืจืื” ื›ื›ื”.
07:28
It's like a wireless accelerometer, pedometer.
163
448260
3000
ื–ื” ื›ืžื• ืžื“ ืชืื•ืฆื” ืืœื—ื•ื˜ื™, ืžื“ ืฆืขื“ื™ื,
07:31
And I want to just give you the results of that testing,
164
451260
2000
ื•ืื ื™ ืจื•ืฆื” ืœื”ืจืื•ืช ืœื›ื ืืช ืชื•ืฆืื•ืช ื”ื ื™ืกื•ื™,
07:33
because I wanted to understand about the consumer movement.
165
453260
3000
ื›ื™ ืจืฆื™ืชื™ ืœื”ื‘ื™ืŸ ืืช ืžื’ืžืช ื”ืฆืจื›ื ื•ืช ื”ื–ื•.
07:36
I hope the, by the way, the Phillips Direct Life works better --
166
456260
2000
ื•ื“ืจืš ืื’ื‘, ืื ื™ ืžืงื•ื•ื” ืฉื”ืžื›ืฉื™ืจ ืฉืœ ืคื™ืœื™ืคืก ืขื•ื‘ื“ ื˜ื•ื‘ ื™ื•ืชืจ.
07:38
I hope so.
167
458260
2000
ืื ื™ ืžืงื•ื•ื”.
07:40
But this monitors food, it monitors activity and tracks weight.
168
460260
4000
ืื‘ืœ ื–ื” ืžื ื˜ืจ ืื•ื›ืœ. ื–ื” ืžื ื˜ืจ ืคืขื™ืœื•ืช ื•ืขื•ืงื‘ ืื—ืจ ืžืฉืงืœ.
07:44
However you have to put in most of this stuff.
169
464260
2000
ืœืžืจื•ืช ื–ืืช, ืืชื ืฆืจื™ื›ื™ื ืœื”ื–ื™ืŸ ื‘ืขืฆืžื›ื ืืช ืจื•ื‘ ื”ืžื™ื“ืข.
07:46
The only thing it really tracks by itself is activity,
170
466260
3000
ื”ื“ื‘ืจ ื”ื™ื—ื™ื“ ืฉืื—ืจื™ื• ื”ื•ื ืขื•ืงื‘ ื‘ืขืฆืžื• ื”ื•ื ืคืขื™ืœื•ืช.
07:49
and even then, it's not complete.
171
469260
2000
ื•ื’ื ืื–, ื–ื” ืœื ืžื•ืฉืœื.
07:51
So, you exercise and it picks up the exercise.
172
471260
3000
ืื– ืืชื ืขื•ืฉื™ื ืคืขื™ืœื•ืช ื’ื•ืคื ื™ืช ื•ื–ื” ืงื•ืœื˜ ืืช ื”ืคืขื™ืœื•ืช.
07:54
You put in your height and weight, it calculates BMI,
173
474260
3000
ืืชื ืžื–ื™ื ื™ื ืืช ื”ืžืฉืงืœ ื•ื”ื’ื•ื‘ื” ืฉืœื›ื, ื•ื–ื” ืžื—ืฉื‘ BMI.
07:57
and of course it tells you how many calories you're expending
174
477260
3000
ื•ื›ืžื•ื‘ืŸ ืฉื”ื•ื ืื•ืžืจ ืœื›ื ื›ืžื” ืงืœื•ืจื™ื•ืช ื”ื•ืฆืืชื
08:00
from the exercise, and how many you took in,
175
480260
3000
ื‘ืคืขื™ืœื•ืช ื”ื’ื•ืคื ื™ืช, ื•ื›ืžื” ืฆืจื›ืชื,
08:03
if you go in and enter all the foods.
176
483260
1000
ืื ืืชื ืžื–ื™ื ื™ื ืืช ื›ืœ ื”ืžืื›ืœื™ื.
08:04
But it really wants you to enter all your activity.
177
484260
3000
ืื‘ืœ ื–ื” ื‘ืืžืช ืจื•ืฆื” ืฉืชื–ื™ื ื• ืืช ื›ืœ ื”ืคืขื™ืœื•ืช ืฉืœื›ื.
08:07
And so I went to this,
178
487260
3000
ืื– ื”ืœื›ืชื™ ืœื–ื”,
08:10
and of course I was gratified that it picked up
179
490260
2000
ื•ื›ืžื•ื‘ืŸ ืฉืžื—ืชื™ ืฉื–ื” ื–ื™ื”ื”
08:12
the 42 minutes of exercise, elliptical exercise I did,
180
492260
4000
ืืช 42 ื”ื“ืงื•ืช ืฉืœ ืื™ืžื•ืŸ ื”ืžื›ืฉื™ืจ ื”ืืœื™ืคื˜ื™ ืฉืขืฉื™ืชื™.
08:16
but then it wants more information.
181
496260
2000
ืื‘ืœ ืื– ื”ื•ื ืจื•ืฆื” ืขื•ื“ ืžื™ื“ืข.
08:18
So, it says, "You want to log sexual activity.
182
498260
3000
ื•ื›ืชื•ื‘ ืฉื "ืจืฆื•ื™ ืœืชืขื“ ืคืขื™ืœื•ืช ืžื™ื ื™ืช.
08:21
How long did you do it for?"
183
501260
2000
ื›ืžื” ื–ืžืŸ ืขืฉื™ืช ืืช ื–ื”?"
08:23
(Laughter)
184
503260
3000
(ืฆื—ื•ืง)
08:26
And it says, "How hard was it?"
185
506260
3000
ื•ื›ืชื•ื‘ "ื›ืžื” ืงืฉื” ื–ื” ื”ื™ื”?"
08:29
(Laughter)
186
509260
1000
(ืฆื—ื•ืง)
08:30
Furthermore it says, "Start time."
187
510260
3000
ืืคื™ืœื• ื›ืชื•ื‘ "ื–ืžืŸ ื”ืชื—ืœื”".
08:33
Now, this doesn't appear -- this just doesn't work,
188
513260
2000
ืขื›ืฉื™ื•, ื–ื” ืœื ื ืจืื” -- ื–ื” ืคืฉื•ื˜ ืœื ืขื•ื‘ื“.
08:35
I mean, this just doesn't work.
189
515260
2000
ืื ื™ ืžืชื›ื•ื•ืŸ ืฉื–ื” ืคืฉื•ื˜ ืœื ืขื•ื‘ื“.
08:37
So, now I want to move to sleep.
190
517260
2000
ืื– ืขื›ืฉื™ื• ืื ื™ ืจื•ืฆื” ืœืขื‘ื•ืจ ืœืฉื™ื ื”.
08:39
Who would ever have thought you could have your own EEG
191
519260
3000
ืžื™ ืื™ ืคืขื ื—ืฉื‘ ืฉื™ื•ื›ืœ ืœื”ื—ื–ื™ืง EEG ืžืฉืœื•
08:42
at your home, tagged to a very nice alarm clock, by the way?
192
522260
3000
ื‘ื‘ื™ืช, ืžื—ื•ื‘ืจ ืœืฉืขื•ืŸ ืžืขื•ืจืจ ื ื—ืžื“ ืžืื“, ื“ืจืš ืื’ื‘.
08:45
This is the headband that goes with this alarm clock.
193
525260
3000
ื–ื• ืจืฆื•ืขืช ื”ืจืืฉ ืฉืžื’ื™ืขื” ืขื ื”ืฉืขื•ืŸ ื”ืžืขื•ืจืจ ื”ื–ื”.
08:48
It monitors your brainwaves continuously, when you're sleeping.
194
528260
3000
ื”ื™ื ืขื•ืงื‘ืช ืื—ืจื™ ื’ืœื™ ื”ืžื•ื— ื‘ืื•ืคืŸ ืจืฆื™ืฃ, ื›ืฉื™ืฉื ื™ื.
08:51
So, I did this thing for seven days
195
531260
2000
ืื– ืขืฉื™ืชื™ ืืช ื–ื” ืฉื‘ืขื” ื™ืžื™ื
08:53
getting ready for TEDMed.
196
533260
2000
ื›ื”ื›ื ื” ืœ TEDMED.
08:55
This is an important part of our life, one-third you're supposed to be sleeping.
197
535260
3000
ื–ื” ื—ืœืง ื—ืฉื•ื‘ ืžื”ื—ื™ื™ื ืฉืœื ื•, ืื ื—ื ื• ืืžื•ืจื™ื ืœื™ืฉื•ืŸ ืฉืœื™ืฉ ืžืชื•ื›ื.
08:58
Of course how many here
198
538260
2000
ื›ืžื•ื‘ืŸ, ืœื›ืžื” ื›ืืŸ
09:00
have any problems with sleeping?
199
540260
4000
ื™ืฉ ื‘ืขื™ื•ืช ื›ืœืฉื”ืŸ ืขื ืฉื™ื ื”?
09:04
It's usually 90 percent. So, you tell me you sleep better than expected.
200
544260
3000
ื‘ื“ืจืš ื›ืœืœ ื–ื” 90 ืื—ื•ื–ื™ื. ืื– ืืชื ืื•ืžืจื™ื ืฉืืชื ื™ืฉื ื™ื ื˜ื•ื‘ ืžื”ืžืฆื•ืคื”.
09:07
Okay, well this was a week of
201
547260
3000
ื‘ืกื“ืจ, ืื– ื–ื• ืฉื™ื ื” ื‘ืžื”ืœืš ืฉื‘ื•ืข
09:10
my life in sleeping,
202
550260
2000
ืฉืœ ื—ื™ื™.
09:12
and you get a Z.Q. score. Instead of an I.Q. score,
203
552260
3000
ืืชื ืžืงื‘ืœื™ื ืฆื™ื•ืŸ ZQ, ื‘ืžืงื•ื IQ,
09:15
you get a Z.Q. score when you wake up.
204
555260
2000
ืžืงื‘ืœื™ื ืฆื™ื•ืŸ ZQ ื›ืฉืžืชืขื•ืจืจื™ื.
09:17
You say, "Oh, OK." And a Z.Q. score
205
557260
2000
ืืชื ืื•ืžืจื™ื "ืื”, ื‘ืกื“ืจ". ื•ืฆื™ื•ืŸ ZQ
09:19
is adjusted to age,
206
559260
2000
ืžื•ืชืื ืœื’ื™ืœ.
09:21
and you want to get as high as you possibly can.
207
561260
3000
ื•ืืชื ืจื•ืฆื™ื ืœืงื‘ืœ ืฆื™ื•ืŸ ื›ืžื” ืฉื™ื•ืชืจ ื’ื‘ื•ื”.
09:24
So this is the moment-by-moment,
208
564260
2000
ืื– ื–ื” ืจื’ืข ืื—ืจ ืจื’ืข,
09:26
or minute-by-minute sleep.
209
566260
2000
ืื• ื“ืงื” ืื—ืจื™ ื“ืงื” ืฉืœ ืฉื™ื ื”.
09:28
And you see that Z.Q. there was 80-odd.
210
568260
3000
ื•ืืคืฉืจ ืœืจืื•ืช ืฉื” ZQ ื›ืืŸ ื”ื™ื” ื‘ืขืจืš 80.
09:31
And the wake time is in orange.
211
571260
3000
ื•ื–ืžืŸ ื”ืขื™ืจื•ืช ื”ื•ื ื‘ื›ืชื•ื.
09:34
And this can be a problem, as I learned.
212
574260
3000
ื•ื–ื• ื™ื›ื•ืœื” ืœื”ื™ื•ืช ื‘ืขื™ื™ื”, ื›ืžื• ืฉืจืื™ืชื™.
09:37
Because it not only helps you with quantifying
213
577260
2000
ื›ื™ ื–ื” ืœื ืจืง ืขื•ื–ืจ ืœื›ืžืช
09:39
your sleep,
214
579260
2000
ืืช ื”ืฉื™ื ื” ืฉืœื›ื,
09:41
but also tells others you're awake.
215
581260
3000
ืืœื ื’ื ืื•ืžืจ ืœืื—ืจื™ื ืฉืืชื ืขืจื™ื.
09:44
So, when my wife came in and she
216
584260
3000
ืื– ื›ืฉืืฉืชื™ ื ื›ื ืกื”
09:47
could tell you're awake.
217
587260
2000
ื”ื™ื ื™ื›ื•ืœื” ื”ื™ืชื” ืœืจืื•ืช ืฉืื ื™ ืขืจ.
09:49
"Eric, I want to talk. I want to talk."
218
589260
2000
"ืืจื™ืง, ืื ื™ ืจื•ืฆื” ืฉื ื“ื‘ืจ. ืื ื™ ืจื•ืฆื” ืฉื ื“ื‘ืจ."
09:51
And I'm trying to play possum.
219
591260
2000
ื•ืื ื™ ืžื ืกื” ืœืฉื—ืง ืื•ืชื” ื™ืฉืŸ.
09:53
This thing is very, very impressive.
220
593260
3000
ื”ื“ื‘ืจ ื”ื–ื” ืžืื“ ืžืื“ ืžืจืฉื™ื.
09:56
OK. So, that's the first night.
221
596260
3000
ื‘ืกื“ืจ, ืื– ื–ื” ื”ืœื™ืœื” ื”ืจืืฉื•ืŸ.
09:59
And this one is now 67,
222
599260
2000
ื•ื–ื” ืขื›ืฉื™ื• 67.
10:01
and that's not a good score.
223
601260
2000
ื•ื–ื” ืœื ืฆื™ื•ืŸ ื˜ื•ื‘.
10:03
And this tells you, of course, how much you had in REM sleep,
224
603260
2000
ื•ื–ื” ืื•ืžืจ ืœื›ื, ื›ืžื•ื‘ืŸ, ื›ืžื” ืฉื ืช REM ื”ื™ืชื” ืœื›ื,
10:05
in deep sleep, and all this sort of thing.
225
605260
2000
ื›ืžื” ืฉื™ื ื” ืขืžื•ืงื” ื”ื™ืชื” ืœื›ื, ื•ื›ืŸ ื”ืœืื”.
10:07
This was really fascinating because
226
607260
2000
ื–ื” ื”ื™ื” ืžืžืฉ ืžืจืชืง
10:09
this gave that quantitation
227
609260
2000
ื›ื™ ื–ื” ื ืชืŸ ืืช ื”ื›ืžื•ื™ื•ืช ื”ืืœื”
10:11
about all the different phases of sleep.
228
611260
2000
ืฉืœ ื›ืœ ืฉืœื‘ื™ ื”ืฉื™ื ื” ื”ืฉื•ื ื™ื.
10:13
So, it also then tells you how you do compared to your age group.
229
613260
3000
ื•ื–ื” ื’ื ืื•ืžืจ ืœืš ืื™ืš ืืชื” ื‘ื™ื—ืก ืœืงื‘ื•ืฆืช ื”ื’ื™ืœ ืฉืœืš.
10:16
It's like a managed competition of sleep.
230
616260
3000
ื–ื” ื›ืžื• ืชื—ืจื•ืช ืžื ื•ื”ืœืช ืฉืœ ืฉื™ื ื”.
10:19
And really interesting stuff.
231
619260
4000
ื•ื–ื” ืžืžืฉ ืžืขื ื™ื™ืŸ.
10:23
Look at this thing and say, "Well, I didn't think I was a very good sleeper,
232
623260
3000
ืชืกืชื›ืœื• ืขืœ ื–ื” ื•ืชื’ื™ื“ื•, "ื˜ื•ื‘, ืœื ื—ืฉื‘ืชื™ ืฉืื ื™ ื™ืฉืŸ ื’ืจื•ืข,
10:26
but actually I did better than average in 50 to 60 year olds." OK?
233
626260
5000
ืื‘ืœ ืœืžืขืฉื” ืื ื™ ื™ื•ืชืจ ื˜ื•ื‘ ืžื”ืžืžื•ืฆืข ืฉืœ ื’ื™ืœืื™ 50 ืขื“ 60", ื‘ืกื“ืจ?
10:31
And the key thing was, what I didn't know,
234
631260
2000
ื•ื”ื“ื‘ืจ ื”ืžืจื›ื–ื™, ืฉืœื ื™ื“ืขืชื™,
10:33
was that I was a really good dreamer.
235
633260
2000
ื”ื•ื ืฉืื ื™ ื—ื•ืœื ืžืžืฉ ื˜ื•ื‘.
10:35
OK. Now let's move from sleep to diseases.
236
635260
5000
ื˜ื•ื‘, ื‘ื•ืื• ื ืขื‘ื•ืจ ืžืฉื™ื ื” ืœืžื—ืœื•ืช.
10:40
Eighty percent of Americans have chronic disease,
237
640260
3000
ืœ 80 ืื—ื•ื–ื™ื ืžื”ืืžืจื™ืงืื™ื ื™ืฉ ืžื—ืœื•ืช ื›ืจื•ื ื™ื•ืช,
10:43
or 80 percent of age greater than 65 have
238
643260
3000
ืื• ืฉืœ 80 ืื—ื•ื–ื™ื ืžื”ืื ืฉื™ื ืžืขืœ ื’ื™ืœ 65
10:46
two or more chronic disease,
239
646260
2000
ื™ืฉ ืฉืชื™ ืžื—ืœื•ืช ื›ืจื•ื ื™ื•ืช ืื• ื™ื•ืชืจ.
10:48
140 million Americans
240
648260
2000
ืœ 140 ืžื™ืœื™ื•ืŸ ืืžืจื™ืงืื™ื
10:50
have one or more chronic disease,
241
650260
2000
ื™ืฉ ืžื—ืœื” ื›ืจื•ื ื™ืช ืื—ืช ืื• ื™ื•ืชืจ.
10:52
and 80 percent of our 1.5, whatever, trillion
242
652260
5000
ื• 80 ืื—ื•ื–ื™ื ืžืชื•ืš 1.5 ื˜ืจื™ืœื™ื•ืŸ ื“ื•ืœืจ
10:57
expenditures are related to chronic disease.
243
657260
2000
ืฉืœ ื”ื•ืฆืื•ืช ืงืฉื•ืจื™ื ืœืžื—ืœื•ืช ื›ืจื•ื ื™ื•ืช.
10:59
Now, diabetes is one of the big ones.
244
659260
2000
ืกื•ื›ืจืช ื”ื™ื ืื—ืช ื”ื’ื“ื•ืœื•ืช.
11:01
Almost 24 million people have diabetes.
245
661260
3000
ืœื›ืžืขื˜ 24 ืžื™ืœื™ื•ืŸ ืื™ืฉ ื™ืฉ ืกื•ื›ืจืช.
11:04
And here is the latest map. It was published
246
664260
2000
ื•ื”ื ื” ื”ืžืคื” ื”ืžืขื•ื“ื›ื ืช. ื”ื™ื ืคื•ืจืกืžื”
11:06
just a little more than a week ago in the New York Times,
247
666260
3000
ืœืคื ื™ ืงืฆืช ื™ื•ืชืจ ืžืฉื‘ื•ืข ื‘ื ื™ื• ื™ื•ืจืง ื˜ื™ื™ืžืก.
11:09
and it isn't looking good.
248
669260
2000
ื•ื–ื” ืœื ื ืจืื” ื˜ื•ื‘.
11:11
That is, for men, 29 percent
249
671260
3000
ื–ืืช ืื•ืžืจืช, ืœ 29 ืื—ื•ื–ื™ื ืžื”ื’ื‘ืจื™ื
11:14
in the country over 60 have Type II diabetes,
250
674260
3000
ื‘ืžื“ื™ื ื”, ืžืขืœ ื’ื™ืœ 60, ื™ืฉ ืกื•ื›ืจืช ืกื•ื’ 2.
11:17
and women, although it's less, it's terribly high.
251
677260
3000
ื•ืœื ืฉื™ื, ืœืžืจื•ืช ืฉื–ื” ืคื—ื•ืช, ื–ื” ืขื“ื™ื™ืŸ ืžืžืฉ ื’ื‘ื•ื”.
11:20
But of course we have a way to measure that now
252
680260
2000
ื›ืžื•ื‘ืŸ ืฉืขื›ืฉื™ื• ื™ืฉ ืœื ื• ื“ืจืš ืœืžื“ื•ื“ ืืช ื–ื”
11:22
on a continuous basis,
253
682260
2000
ื‘ืื•ืคืŸ ืจืฆื™ืฃ,
11:24
with a sensor that detects blood glucose,
254
684260
2000
ืขื ื—ื™ื™ืฉืŸ ืฉื‘ื•ื“ืง ืจืžืช ื’ืœื•ืงื•ื–ื” ื‘ื“ื.
11:26
and it's important because we could detect
255
686260
2000
ืื ื™ ืžืชื›ื•ื•ืŸ ืฉื–ื” ื—ืฉื•ื‘ ื›ื™ ืืคืฉืจ ืœื’ืœื•ืช
11:28
hyperglycemia that otherwise wouldn't be known,
256
688260
2000
ื”ื™ืคืจื’ืœื™ืงืžื™ื” ืฉืื—ืจืช ืœื ื”ื™ื™ื ื• ื™ื•ื“ืขื™ื ืขืœื™ื”,
11:30
and also hypoglycemia.
257
690260
2000
ื•ื’ื ื”ื™ืคื•ื’ืœื™ืงืžื™ื”.
11:32
And you can see the red dots, in this particular patient's case,
258
692260
3000
ื•ืืคืฉืจ ืœืจืื•ืช ืฉื”ื ืงื•ื“ื•ืช ื”ืื“ื•ืžื•ืช ื‘ืžืงืจื” ืฉืœ ื”ื—ื•ืœื” ื”ื–ื”
11:35
were finger sticks, which would have missed both ends.
259
695260
3000
ื”ืŸ ื‘ื“ื™ืงื•ืช ืฉืœ ื“ืงื™ืจื•ืช ืืฆื‘ืข, ืฉืžืคืกืคืกื•ืช ื‘ืฉื ื™ ื”ืžืงืจื™ื.
11:38
But by continuous monitoring,
260
698260
2000
ืื‘ืœ ืข"ื™ ื ื™ื˜ื•ืจ ืจืฆื™ืฃ,
11:40
it captures all that vital information.
261
700260
2000
ื–ื” ืงื•ืœื˜ ืืช ื›ืœ ื”ืžื™ื“ืข ื”ื—ื™ื•ื ื™.
11:42
The future of this though,
262
702260
2000
ื”ืขืชื™ื“ ืฉืœ ื–ื” ื”ื•ื, ื“ืจืš ืื’ื‘,
11:44
is being able to move this to a Band-Aid type phenomenon,
263
704260
2000
ืœื”ื™ื•ืช ืžืกื•ื’ืœื™ื ืœืขืฉื•ืช ืืช ื–ื” ืขื ืคืœืกื˜ืจ.
11:46
and that's not so far away.
264
706260
3000
ื•ื–ื” ืœื ืจื—ื•ืง ืžืื“.
11:49
So, let me just give you, very quickly,
265
709260
2000
ืื– ืชื ื• ืœื™ ืจืง ืœืชืช ืœื›ื ื‘ืžื”ื™ืจื•ืช
11:51
10 top targets for wireless medicine.
266
711260
2000
ืขืฉืจ ืžื˜ืจื•ืช ืขื™ืงืจื™ื•ืช ืœืจืคื•ืื” ืืœื—ื•ื˜ื™ืช.
11:53
All these things are possible --
267
713260
2000
ื›ืœ ื”ื“ื‘ืจื™ื ื”ืืœื” ืืคืฉืจื™ื™ื.
11:55
some of them are very close,
268
715260
2000
ื›ืžื” ืžื”ืŸ ืงืจื•ื‘ื•ืช ืžืื“,
11:57
or already, as you heard,
269
717260
2000
ืื• ื›ืžื• ืฉืฉืžืขืชื,
11:59
are available today, in some way or form.
270
719260
2000
ื–ืžื™ื ื•ืช ื”ื™ื•ื, ื‘ืฆื•ืจื” ื›ื–ื• ืื• ืื—ืจืช.
12:01
Alzheimer's disease:
271
721260
2000
ืžื—ืœืช ื”ืืœืฆื”ื™ื™ืžืจ,
12:03
there's five million people affected, and you can check
272
723260
2000
ื™ืฉ ื—ืžื™ืฉื” ืžื™ืœื™ื•ืŸ ืฉื—ื•ืœื™ื ื‘ื”. ื•ืืคืฉืจ ืœื‘ื“ื•ืง
12:05
vital signs, activity, balance.
273
725260
2000
ืžื“ื“ื™ื ื—ื™ื•ื ื™ื™ื, ืคืขื™ืœื•ืช, ืื™ื–ื•ืŸ.
12:07
Asthma: large number, we could detect things like
274
727260
3000
ืืกื˜ืžื”, ื”ืžื•ืŸ ืื ืฉื™ื, ืืคืฉืจ ืœื’ืœื•ืช ื“ื‘ืจื™ื ื›ืžื•
12:10
pollen count, air quality, respiratory rate. Breast cancer,
275
730260
3000
ืกืคื™ืจืช ืื‘ืงื ื™ื, ืื™ื›ื•ืช ืื•ื•ื™ืจ, ืงืฆื‘ ื ืฉื™ืžื”. ืกืจื˜ืŸ ื”ืฉื“ --
12:13
I'll show you an example of that real quickly.
276
733260
3000
ืืจืื” ืœื›ื ื“ื•ื’ืžื” ืœื–ื” ืžื™ื“.
12:16
Chronic obstructive pulmonary disease.
277
736260
3000
ืžื—ืœืช ืจื™ืื” ื—ืกื™ืžืชื™ืช ื›ืจื•ื ื™ืช.
12:19
Depression, there's a great approach to that in mood disorders.
278
739260
3000
ื“ื›ืื•ืŸ -- ื™ืฉ ื’ื™ืฉื” ื˜ื•ื‘ื” ืœื–ื” ื‘ืžืฆื‘ื™ ืจื•ื— ืžืฉืชื ื™ื.
12:22
Diabetes I've just mentioned. Heart failure we already talked about. Hypertension:
279
742260
3000
ืกื•ื›ืจืช ื”ืจื’ืข ื”ื–ื›ืจืชื™. ืขืœ ื‘ืขื™ื•ืช ืœื‘ ื›ื‘ืจ ื“ื™ื‘ืจื ื•. ืœื—ืฅ ื“ื ื’ื‘ื•ื” --
12:25
74 million people could have continuous blood-pressure monitoring
280
745260
3000
ืœ 74 ืžื™ืœื™ื•ืŸ ืื™ืฉ ืืคืฉืจ ืœืžื“ื•ื“ ืœื—ืฅ ื“ื ื‘ืื•ืคืŸ ืจืฆื™ืฃ
12:28
to come up with much better management and prevention.
281
748260
5000
ื›ื“ื™ ืœื ื”ืœ ื•ืœืžื ื•ืข ืืช ื–ื” ื‘ืฆื•ืจื” ื˜ื•ื‘ื” ื™ื•ืชืจ.
12:33
And obesity we already talked about, the ways to get to that.
282
753260
3000
ื›ื‘ืจ ื“ื™ื‘ืจื ื• ืขืœ ื”ืฉืžื ื”, ื”ื“ืจื›ื™ื ืœื”ื’ื™ืข ืœื–ื”.
12:36
And sleep disorders.
283
756260
2000
ื•ื”ืคืจืขื•ืช ืฉื™ื ื”.
12:38
This is effective around the world. The access to smartphones
284
758260
3000
ื–ื” ื™ืขื™ืœ ื‘ืจื—ื‘ื™ ื”ืขื•ืœื. ื”ื’ื™ืฉื” ื”ื™ื•ื ืœื˜ืœืคื•ื ื™ื ื—ื›ืžื™ื
12:41
and cell phones today is extraordinary.
285
761260
3000
ื•ื˜ืœืคื•ื ื™ื ื ื™ื™ื“ื™ื ื”ื™ื ืžืขื•ืœื”.
12:44
And this article from The Economist summed it up beautifully
286
764260
3000
ื•ื”ืžืืžืจ ื”ื–ื” ืžื”ืืงื•ื ื•ืžื™ืกื˜ ืกื™ื›ื ืืช ื–ื” ื™ืคื”
12:47
about the opportunities in health across the developing world:
287
767260
2000
ืœื’ื‘ื™ ื”ื”ื–ื“ืžื ื•ื™ื•ืช ื‘ืจืคื•ืื” ื‘ืจื—ื‘ื™ ื”ืขื•ืœื ื”ืžืชืคืชื—.
12:49
"Mobile phones made a bigger difference to the lives of more people,
288
769260
3000
"ื˜ืœืคื•ื ื™ื ื ื™ื™ื“ื™ื ื”ืฉืคื™ืขื• ื™ื•ืชืจ, ืขืœ ื—ื™ื™ื ืฉืœ ื™ื•ืชืจ ืื ืฉื™ื,
12:52
more quickly, than any previous technology."
289
772260
3000
ื•ืžื”ืจ ื™ื•ืชืจ ืžื›ืœ ื˜ื›ื ื•ืœื•ื’ื™ื” ืงื•ื“ืžืช."
12:55
And that's before we got going on the m-health world.
290
775260
3000
ื•ื–ื” ืขื•ื“ ืœืคื ื™ ืฉื“ื™ื‘ืจื ื• ืขืœ ืขื•ืœื ื”'ืจืคื•ืื” ืžืจื—ื•ืง'.
12:58
Aging: The problem is enormous,
291
778260
3000
ื–ื™ืงื ื”: ื”ื‘ืขื™ื” ื”ื™ื ืขืฆื•ืžื”.
13:01
300,000 broken hips per year;
292
781260
2000
300,000 ื™ืจื›ื™ื™ื ืฉื‘ื•ืจื•ืช ืœืฉื ื”.
13:03
but the solutions are extraordinary,
293
783260
3000
ืื‘ืœ ื”ืคืชืจื•ื ื•ืช ืžืขื•ืœื™ื,
13:06
and they include so many different things.
294
786260
2000
ื•ื”ื ื›ื•ืœืœื™ื ื›ืœ ื›ืš ื”ืจื‘ื” ื“ื‘ืจื™ื ืฉื•ื ื™ื.
13:08
One of the ones I just wanted to mention:
295
788260
2000
ืื—ื“ ืžืืœื” ืฉืจืง ืจืฆื™ืชื™ ืœื”ื–ื›ื™ืจ:
13:10
The iShoe is another example of a sensor that
296
790260
3000
ื” iShoe ื”ื™ื ื“ื•ื’ืžื” ืœื—ื™ื™ืฉืŸ
13:13
improves proprioception among the elderly
297
793260
3000
ืฉืžืฉืคืจ ื”ืขื‘ืจืช ืžื™ื“ืข ืžื”ืฉืจื™ืจื™ื ืœืžื•ื— ืืฆืœ ืงืฉื™ืฉื™ื
13:16
to prevent falling.
298
796260
1000
ืœืžื ื™ืขืช ื ืคื™ืœื•ืช.
13:17
One of many different techniques using wireless sensors.
299
797260
3000
ืื—ืช ืžื›ืžื” ื˜ื›ื ื™ืงื•ืช ืฉื•ื ื•ืช ืฉืžืฉืชืžืฉื•ืช ื‘ื—ื™ื™ืฉื ื™ื ืืœื—ื•ื˜ื™ื™ื.
13:20
So, we can change medicine across the continuum of care,
300
800260
3000
ืื– ืืคืฉืจ ืœืฉื ื•ืช ืืช ื”ืจืคื•ืื” ืœืจื•ื—ื‘ ืจืฆืฃ ื”ื˜ื™ืคื•ืœ,
13:23
across the ages from premies or unborn children
301
803260
4000
ืœืื•ืจืš ื˜ื•ื•ื— ื”ื’ื™ืœืื™ื ืžืขื•ื‘ืจื™ื ื•ืคื’ื™ื
13:27
to seniors; the pharmaceutical arena changes;
302
807260
3000
ืขื“ ืžื‘ื•ื’ืจื™ื; ื”ืฉื™ื ื•ื™ื™ื ื‘ื–ื™ืจื” ื”ืคืจืžืงื•ืœื•ื’ื™ืช;
13:30
the full spectrum of disease -- I hope I've given you a sense of that --
303
810260
3000
ื‘ื›ืœ ืžื’ื•ื•ืŸ ื”ืžื—ืœื•ืช -- ืื ื™ ืžืงื•ื•ื” ืฉื”ืžื—ืฉืชื™ ืœื›ื ืืช ื–ื” --
13:33
across the globe.
304
813260
2000
ื‘ืจื—ื‘ื™ ื”ืขื•ืœื.
13:35
There are two things that can really accelerate this whole process.
305
815260
3000
ื™ืฉ ืฉื ื™ ื“ื‘ืจื™ื ืฉืžืžืฉ ื™ื›ื•ืœื™ื ืœื”ืื™ืฅ ืืช ื›ืœ ื”ืชื”ืœื™ืš ื”ื–ื”.
13:38
One of them -- we're very fortunate -- is to develop a dedicated institute
306
818260
4000
ืื—ื“ ืžื”ื -- ื•ื™ืฉ ืœื ื• ื”ืจื‘ื” ืžื–ืœ -- ื”ื•ื ืœืคืชื— ืžื›ื•ืŸ ื™ื™ืขื•ื“ื™
13:42
and that's work that started with the work that Scripps with Qualcomm ...
307
822260
6000
ื•ื–ื” ื“ื‘ืจ ืฉื”ืชื—ื™ืœ ืขื Scripps ื•ืขื Qualcomm...
13:48
and then the great fortune of meeting up with Gary and Mary West,
308
828260
3000
ื•ืื– ืœืžื–ืœื™, ื”ืคื’ื™ืฉื” ืขื ื’ืืจื™ ื•ืžืืจื™ ื•ื•ืกื˜,
13:51
to get behind this wireless health institute.
309
831260
3000
ืฉืขื•ืžื“ื™ื ืžืื—ื•ืจื™ ื”ืžื›ื•ืŸ ื”ื–ื” ืœืจืคื•ืื” ืืœื—ื•ื˜ื™ืช.
13:54
San Diego is an extraordinary place for this.
310
834260
2000
ืกืŸ ื“ื™ื™ื’ื• ื”ื•ื ืžืงื•ื ืžืขื•ืœื” ืœื–ื”.
13:56
There's over 650 wireless companies,
311
836260
3000
ื™ืฉ ื™ื•ืชืจ ืž 650 ื—ื‘ืจื•ืช ืืœื—ื•ื˜ื™ื•ืช,
13:59
100 of which or more are working in wireless health.
312
839260
3000
ืžืชื•ื›ืŸ 100 ืื• ื™ื•ืชืจ ืขื•ื‘ื“ื•ืช ืขืœ ืจืคื•ืื” ืืœื—ื•ื˜ื™ืช.
14:02
It's the number one source of commerce, and interestingly
313
842260
3000
ื–ื” ื”ืžืงื•ืจ ืžืกืคืจ ืื—ื“ ืœืžืกื—ืจ, ื•ืžืขื ื™ื™ืŸ
14:05
it dovetails beautifully with over 500 life science companies.
314
845260
3000
ืฉื–ื” ืžืฉืชืœื‘ ื™ืคื” ืขื ื™ื•ืชืจ ืž 500 ื—ื‘ืจื•ืช ื‘ืชื—ื•ื ืžื“ืขื™ ื”ื—ื™ื™ื.
14:08
The wireless institute,
315
848260
3000
ื”ืžื›ื•ืŸ ื”ืืœื—ื•ื˜ื™,
14:11
the West Wireless Health Institute,
316
851260
2000
ืžื›ื•ืŸ ื•ื•ืกื˜ ืœืจืคื•ืื” ืืœื—ื•ื˜ื™ืช,
14:13
is really the outgrowth of two extraordinary people
317
853260
4000
ื”ื•ื ืชื•ืฆืื” ืฉืœ ืฉื ื™ ืื ืฉื™ื ืžื™ื•ื—ื“ื™ื
14:17
who are here this evening:
318
857260
2000
ืฉื ืžืฆืื™ื ื›ืืŸ ื”ืขืจื‘:
14:19
Gary and Mary West. And I'd like to give it up for them for getting behind this.
319
859260
3000
ื’ืืจื™ ื•ืžืืจื™ ื•ื•ืกื˜. ื•ืื ื™ ืžื‘ืจืš ืื•ืชื ืขืœ ื”ืชืžื™ื›ื” ืฉืœื”ื.
14:22
(Applause)
320
862260
4000
(ืžื—ื™ืื•ืช ื›ืคื™ื™ื)
14:26
Their fantastic philanthropic investment made this possible,
321
866260
3000
ื”ื”ืฉืงืขื” ื”ืคื™ืœื ืชืจื•ืคื™ืช ื”ืžื“ื”ื™ืžื” ืฉืœื”ื ืืคืฉืจื” ืืช ื–ื”,
14:29
and this is really a nonprofit education center
322
869260
3000
ื•ืœืžืขืฉื” ื–ื” ืžืจื›ื– ื—ื™ื ื•ืš ืœืœื ืžื˜ืจื•ืช ืจื•ื•ื—
14:32
which is just about to open. It looks like this,
323
872260
3000
ืฉืขื•ืžื“ ืœื”ื™ืคืชื— ื‘ืงืจื•ื‘. ื›ืš ื”ื•ื ื ืจืื”.
14:35
this whole building dedicated.
324
875260
3000
ื›ืœ ื”ืžื‘ื ื” ืžื™ื•ืขื“ ืœื–ื”.
14:38
And what it's trying to do is accelerate this era:
325
878260
2000
ื•ืžื” ืฉื”ื•ื ืžื ืกื” ืœืขืฉื•ืช ื”ื•ื ืœื”ืื™ืฅ ืืช ื”ืขื™ื“ืŸ ื”ื–ื”:
14:40
to take unmet medical needs, to work and innovate --
326
880260
3000
ืœืงื—ืช ื‘ื™ืงื•ืฉ ืœืจืคื•ืื” ืœืœื ืชืงื“ื™ื, ืœืขื‘ื•ื“ ื•ืœื—ื“ืฉ...
14:43
and we just appointed the chief engineer, Mehran Mehregany,
327
883260
3000
ื•ื‘ื“ื™ื•ืง ืžื™ื ื™ื ื• ืžื”ื ื“ืก ืจืืฉื™, ืžื”ืจืŸ ืžื”ืจื’ืื ื™.
14:46
it was announced on Monday --
328
886260
2000
ื”ื•ื“ื™ืขื• ืืช ื–ื” ื‘ื™ื•ื ืฉื ื™.
14:48
then to move up with development,
329
888260
2000
ื•ืื– ืœื”ืชืงื“ื ื‘ืคื™ืชื•ื—,
14:50
clinical trial validation and then changing medical practice,
330
890260
3000
ื ื™ืกื•ื™ื™ื ืงืœื™ื ื™ื™ื, ื•ืื– ืœืฉื ื•ืช ืืช ืžืงืฆื•ืข ื”ืจืคื•ืื” --
14:53
the most challenging thing of all,
331
893260
3000
ื”ื“ื‘ืจ ื”ืžืืชื’ืจ ื‘ื™ื•ืชืจ,
14:56
requiring attention to reimbursement, healthcare policy, healthcare economics.
332
896260
3000
ืฉื“ื•ืจืฉ ืชืฉื•ืžืช ืœื‘ ืœืคื™ืฆื•ื™ื™ื, ืžื“ื™ื ื™ื•ืช ื•ื›ืœื›ืœืช ื‘ืจื™ืื•ืช.
14:59
The other big thing, besides having this fantastic
333
899260
3000
ื”ื“ื‘ืจ ื”ื’ื“ื•ืœ ื”ื ื•ืกืฃ, ืžืขื‘ืจ ืœืงื™ื•ื
15:02
institute to catalyze this process
334
902260
3000
ื”ืžื›ื•ืŸ ื”ืžืขื•ืœื” ื”ื–ื”, ื›ื“ื™ ืœื–ืจื– ืืช ื”ืชื”ืœื™ืš
15:05
is guidance,
335
905260
3000
ื”ื•ื ื”ื›ื•ื•ื ื”,
15:08
and that's of course relying on the fact that medicine goes digital.
336
908260
3000
ื•ื–ื” ื‘ื”ืกืชืžืš ืขืœ ื–ื” ืฉื”ืจืคื•ืื” ืชื”ืคื•ืš ื“ื™ื’ื™ื˜ืœื™ืช.
15:11
If we understand biology from genomics and omics
337
911260
4000
ืื ืžื‘ื™ื ื™ื ื‘ื™ื•ืœื•ื’ื™ื” ืžื’ื ื˜ื™ืงื” ื•ืชื—ื•ืžื™ื ื“ื•ืžื™ื
15:15
and wireless through physiologic phenotyping, that's big.
338
915260
4000
ื•ืืœื—ื•ื˜ ื“ืจืš ืชื›ื•ื ื•ืช ืคื™ื–ื™ื•ืœื•ื’ื™ื•ืช, ื–ื” ื“ื‘ืจ ื’ื“ื•ืœ.
15:19
Because what it does is allow a convergence like we've never had before.
339
919260
3000
ื›ื™ ื–ื” ืžืืคืฉืจ ื”ืชืœื›ื“ื•ืช ื›ืžื• ืฉืžืขื•ืœื ืœื ืจืื™ื ื•
15:22
Over 80 major diseases have been cracked at the genomic level,
340
922260
5000
ืžืขืœ 80 ืžื—ืœื•ืช ืขื™ืงืจื™ื•ืช ืคื•ืขื ื—ื• ื‘ืจืžื” ื”ื’ื ื˜ื™ืช,
15:27
but this is quite extraordinary: More has been learned about
341
927260
3000
ืื‘ืœ ื–ื” ื”ื™ื™ื—ื•ื“: ืœืžื“ื ื• ื™ื•ืชืจ
15:30
the underpinnings of disease in the last two and a half years
342
930260
2000
ืขืœ ื“ืจื›ื™ ื”ืคืขื•ืœื” ืฉืœ ืžื—ืœื•ืช ื‘ืฉื ืชื™ื™ื ื•ื—ืฆื™ ื”ืื—ืจื•ื ื•ืช
15:32
than in the history of man.
343
932260
2000
ืžืืฉืจ ื‘ื›ืœ ื”ื”ื™ืกื˜ื•ืจื™ื” ืฉืœ ื”ืื“ื.
15:34
And when you put that together with, for example,
344
934260
2000
ื•ื›ืฉืžื—ื‘ืจื™ื ืืช ื–ื” ืขื, ืœืžืฉืœ,
15:36
now an app for the iPhone with your genotype
345
936260
3000
ืืคืœื™ืงืฆื™ื™ืช ืื™ื™ืคื•ืŸ ืขื ื”ืžืขืจืš ื”ื’ื ื˜ื™ ืฉืœืš
15:39
to guide drug therapy ...
346
939260
2000
ื›ื“ื™ ืœืกื™ื™ืข ื‘ื‘ื—ื™ืจืช ืชืจื•ืคื•ืช...
15:41
but, the future -- we can now tell who's going to get Type II diabetes
347
941260
4000
ืื‘ืœ ื”ืขืชื™ื“ -- ืื ื—ื ื• ื›ื™ื•ื ื™ื›ื•ืœื™ื ืœื“ืขืช ืžื™ ื™ืงื‘ืœ ืกื•ื›ืจืช ืžืกื•ื’ 2
15:45
from all the common variants,
348
945260
2000
ืžื›ืœ ื”ืžืฉืชื ื™ื ื”ื ืคื•ืฆื™ื,
15:47
and that's going to get filled in more
349
947260
2000
ื•ื–ื” ื™ืชืคืชื— ืขื•ื“ ื™ื•ืชืจ
15:49
with low-frequency variants in the future.
350
949260
2000
ืขื ืžืฉืชื ื™ื ื ื“ื™ืจื™ื ื™ื•ืชืจ ื‘ืขืชื™ื“.
15:51
We can tell who's going to get breast cancer
351
951260
2000
ืื ื—ื ื• ื™ื›ื•ืœื™ื ืœื“ืขืช ืžื™ ื™ืงื‘ืœ ืกืจื˜ืŸ ืฉื“
15:53
from the various genes.
352
953260
2000
ืžื”ื’ื ื™ื ื”ืฉื•ื ื™ื.
15:55
We can also know who's likely to get atrial fibrillation.
353
955260
3000
ืื ื—ื ื• ื™ื›ื•ืœื™ื ื’ื ืœื“ืขืช ืœืžื™ ื™ื”ื™ื” ืคืจืคื•ืจ ื—ื“ืจื™ื.
15:58
And finally, another example: sudden cardiac death.
354
958260
3000
ื•ืœื‘ืกื•ืฃ, ื“ื•ื’ืžื” ื ื•ืกืคืช: ื“ื•ื ืœื‘ ืคืชืื•ืžื™.
16:01
Each of these has a sensor.
355
961260
2000
ืœื›ืœ ืืœื• ื™ืฉ ื—ื™ื™ืฉืŸ.
16:03
We can give glucose a sensor for diabetes to prevent it.
356
963260
4000
ืืคืฉืจ ืœืชืช ื—ื™ื™ืฉืŸ ื’ืœื•ืงื•ื–ื” ืœืžื ื™ืขืช ืกื•ื›ืจืช.
16:07
We can prevent, or have the earliest detection possible,
357
967260
3000
ืืคืฉืจ ืœื’ืœื•ืช ืžืื“ ืžื•ืงื“ื ืื• ืœืžื ื•ืข
16:10
for breast cancer with an ultrasound device
358
970260
3000
ืกืจื˜ืŸ ืฉื“ ืขื ื—ื™ื™ืฉืŸ ืื•ืœื˜ืจืกืื•ื ื“
16:13
given to the patient.
359
973260
2000
ืฉื‘ื™ื“ื™ ื”ื—ื•ืœื”.
16:15
An iPatch, iRhythm, for atrial fibrillation.
360
975260
3000
iRhythm ืœืคืจืคื•ืจ ื—ื“ืจื™ื.
16:18
And vital-signs monitoring to prevent sudden cardiac death.
361
978260
4000
ื•ื ื™ื˜ื•ืจ ืžื“ื“ื™ื ื—ื™ื•ื ื™ื™ื ืœืžื ื™ืขืช ื“ื•ื ืœื‘ ืคืชืื•ืžื™.
16:22
We lose 700,000 people a year in the U.S. from sudden cardiac death.
362
982260
3000
ืื ื—ื ื• ืžืื‘ื“ื™ื 700,000 ืื™ืฉ ื‘ืฉื ื” ื‘ืืจื”"ื‘ ืžื“ื•ื ืœื‘ ืคืชืื•ืžื™.
16:25
So, I hope I've convinced you of this,
363
985260
3000
ืื– ืื ื™ ืžืงื•ื•ื” ืฉืฉื›ื ืขืชื™ ืืชื›ื ื‘ื–ื” --
16:28
of the impact on hospital clinic resources is profound
364
988260
4000
ื‘ื”ืฉืคืขื” ื”ืžืฉืžืขื•ืชื™ืช ืขืœ ืžืฉืื‘ื™ื ืงืœื™ื ื™ื™ื ื‘ื‘ืชื™ ื—ื•ืœื™ื
16:32
and then the impact on diseases is equally impressive
365
992260
3000
ื•ืื– ื‘ื”ืฉืคืขื” ื”ืžืจืฉื™ืžื” ืœื ืคื—ื•ืช ืขืœ ืžื—ืœื•ืช
16:35
across all these different diseases and more.
366
995260
3000
ืœืจื•ื—ื‘ ื›ืœ ืกื•ื’ื™ ื”ืžื—ืœื•ืช ื”ืฉื•ื ื™ื, ื•ืขื•ื“.
16:38
It's really taking individualized medicine to a new height
367
998260
4000
ื–ื” ื”ื‘ื™ื ืืช ื”ืจืคื•ืื” ื”ืื™ื ื“ื™ื‘ื™ื“ื•ืืœื™ืช ืœื’ื‘ื”ื™ื ื—ื“ืฉื™ื
16:42
and it's hyper-innovative,
368
1002260
3000
ื•ื–ื” ืกื•ืคืจ-ื—ื“ืฉื ื™.
16:45
and I think it represents the black swan of medicine.
369
1005260
4000
ื•ืื ื™ ื—ื•ืฉื‘ ืฉื–ื” ืžื™ื™ืฆื’ ืืช ื”'ื‘ืจื‘ื•ืจ ื”ืฉื—ื•ืจ' ืฉืœ ื”ืจืคื•ืื”.
16:49
Thanks for your attention.
370
1009260
3000
ืชื•ื“ื” ืขืœ ืชืฉื•ืžืช ื”ืœื‘.
16:52
(Applause)
371
1012260
2000
(ืžื—ื™ืื•ืช ื›ืคื™ื™ื)
ืขืœ ืืชืจ ื–ื”

ืืชืจ ื–ื” ื™ืฆื™ื’ ื‘ืคื ื™ื›ื ืกืจื˜ื•ื ื™ YouTube ื”ืžื•ืขื™ืœื™ื ืœืœื™ืžื•ื“ ืื ื’ืœื™ืช. ืชื•ื›ืœื• ืœืจืื•ืช ืฉื™ืขื•ืจื™ ืื ื’ืœื™ืช ื”ืžื•ืขื‘ืจื™ื ืขืœ ื™ื“ื™ ืžื•ืจื™ื ืžื”ืฉื•ืจื” ื”ืจืืฉื•ื ื” ืžืจื—ื‘ื™ ื”ืขื•ืœื. ืœื—ืฅ ืคืขืžื™ื™ื ืขืœ ื”ื›ืชื•ื‘ื™ื•ืช ื‘ืื ื’ืœื™ืช ื”ืžื•ืฆื’ื•ืช ื‘ื›ืœ ื“ืฃ ื•ื™ื“ืื• ื›ื“ื™ ืœื”ืคืขื™ืœ ืืช ื”ืกืจื˜ื•ืŸ ืžืฉื. ื”ื›ืชื•ื‘ื™ื•ืช ื’ื•ืœืœื•ืช ื‘ืกื ื›ืจื•ืŸ ืขื ื”ืคืขืœืช ื”ื•ื•ื™ื“ืื•. ืื ื™ืฉ ืœืš ื”ืขืจื•ืช ืื• ื‘ืงืฉื•ืช, ืื ื ืฆื•ืจ ืื™ืชื ื• ืงืฉืจ ื‘ืืžืฆืขื•ืช ื˜ื•ืคืก ื™ืฆื™ืจืช ืงืฉืจ ื–ื”.

https://forms.gle/WvT1wiN1qDtmnspy7