WEBVTT 00:00:11.310 --> 00:00:13.165 "We're declaring war against cancer, 00:00:13.165 --> 00:00:15.765 and we will win this war by 2015." 00:00:16.980 --> 00:00:20.716 This is what the US Congress and the National Cancer Institute declared 00:00:20.750 --> 00:00:23.310 just a few years ago, in 2003. 00:00:24.050 --> 00:00:27.146 Now, I don't know about you, but I don't buy that. 00:00:27.146 --> 00:00:29.202 I don't think we quite won this war yet, 00:00:29.210 --> 00:00:31.850 and I don't think anyone here will question that. 00:00:32.280 --> 00:00:34.776 Now, I will argue that a primary reason 00:00:34.790 --> 00:00:36.926 why we're not winning this war against cancer 00:00:36.940 --> 00:00:39.236 is because we're fighting blindly. 00:00:39.260 --> 00:00:42.835 I'm going to start by sharing with you a story about a good friend of mine. 00:00:42.860 --> 00:00:44.076 His name is Ehud, 00:00:44.100 --> 00:00:47.236 and a few years ago, Ehud was diagnosed with brain cancer. 00:00:47.270 --> 00:00:49.126 And not just any type of brain cancer: 00:00:49.140 --> 00:00:52.316 he was diagnosed with one of the most deadly forms of brain cancer. 00:00:52.340 --> 00:00:53.556 In fact, it was so deadly 00:00:53.580 --> 00:00:56.236 that the doctors told him that they only have 12 months, 00:00:56.260 --> 00:00:59.676 and during those 12 months, they have to find a treatment. 00:00:59.710 --> 00:01:01.166 They have to find a cure, 00:01:01.170 --> 00:01:03.330 and if they cannot find a cure, he will die. 00:01:04.172 --> 00:01:05.628 Now, the good news, they said, 00:01:05.648 --> 00:01:08.584 is that there are tons of different treatments to choose from, 00:01:08.584 --> 00:01:09.800 but the bad news is 00:01:09.820 --> 00:01:13.356 that in order for them to tell if a treatment is even working or not, 00:01:13.360 --> 00:01:15.856 well, that takes them about three months or so. 00:01:15.870 --> 00:01:18.246 So they cannot try that many things. 00:01:18.250 --> 00:01:21.346 Well, Ehud is now going into his first treatment, 00:01:21.350 --> 00:01:24.606 and during that first treatment, just a few days into that treatment, 00:01:24.630 --> 00:01:27.966 I'm meeting with him, and he tells me, "Adam, I think this is working. 00:01:27.966 --> 00:01:30.782 I think we really lucked out here. Something is happening." 00:01:30.810 --> 00:01:33.266 And I ask him, "Really? How do you know that, Ehud?" 00:01:33.290 --> 00:01:35.506 And he says, "Well, I feel so terrible inside. 00:01:35.530 --> 00:01:37.386 Something's gotta be working up there. 00:01:37.410 --> 00:01:38.626 It just has to." 00:01:38.626 --> 00:01:43.066 Well, unfortunately, three months later, we got the news, it didn't work. 00:01:44.020 --> 00:01:46.076 And so Ehud goes into his second treatment. 00:01:46.100 --> 00:01:47.356 And again, the same story. 00:01:47.370 --> 00:01:50.106 "It feels so bad, something's gotta be working there." 00:01:50.130 --> 00:01:53.066 And then three months later, again we get bad news. 00:01:53.090 --> 00:01:57.026 Ehud is going into his third treatment, and then his fourth treatment. 00:01:57.030 --> 00:01:59.550 And then, as predicted, Ehud dies. 00:02:00.420 --> 00:02:04.996 Now, when someone really close to you is going through such a huge struggle, 00:02:05.010 --> 00:02:06.826 you get really swamped with emotions. 00:02:06.830 --> 00:02:08.925 A lot of things are going through your head. 00:02:08.930 --> 00:02:10.386 For me, it was mostly outrage. 00:02:10.400 --> 00:02:15.096 I was just outraged that, how come this is the best that we can offer? 00:02:15.120 --> 00:02:17.416 And I started looking more and more into this. 00:02:17.420 --> 00:02:20.876 As it turns out, this is not just the best that doctors could offer Ehud. 00:02:20.890 --> 00:02:24.706 It's not just the best doctors could offer patients with brain cancer generally. 00:02:24.720 --> 00:02:27.920 We're actually not doing that well all across the board with cancer. 00:02:28.720 --> 00:02:30.576 I picked up one of those statistics, 00:02:30.580 --> 00:02:33.356 and I'm sure some of you have seen those statistics before. 00:02:33.370 --> 00:02:36.826 This is going to show you here how many patients actually died of cancer, 00:02:36.830 --> 00:02:38.846 in this case females in the United States, 00:02:38.860 --> 00:02:40.156 ever since the 1930s. 00:02:40.160 --> 00:02:43.336 You'll notice that there aren't that many things that have changed. 00:02:43.340 --> 00:02:44.636 It's still a huge issue. 00:02:44.650 --> 00:02:46.386 You'll see a few changes though. 00:02:46.390 --> 00:02:48.926 You'll see lung cancer, for example, on the rise. 00:02:48.950 --> 00:02:50.150 Thank you, cigarettes. 00:02:50.940 --> 00:02:53.436 And you'll also see that, for example, stomach cancer 00:02:53.440 --> 00:02:56.776 once used to be one of the biggest killers of all cancers, 00:02:56.790 --> 00:02:58.230 is essentially eliminated. 00:02:58.840 --> 00:03:00.896 Now, why is that? Anyone knows, by the way? 00:03:00.920 --> 00:03:04.256 Why is it that humanity is no longer struck by stomach cancer? 00:03:04.270 --> 00:03:09.126 What was the huge, huge medical technology breakthrough 00:03:09.140 --> 00:03:12.500 that came to our world that saved humanity from stomach cancer? 00:03:13.710 --> 00:03:17.526 Was it maybe a new drug, or a better diagnostic? 00:03:17.530 --> 00:03:18.826 You guys are right, yeah. 00:03:18.850 --> 00:03:21.466 It's the invention of the refrigerator, 00:03:21.470 --> 00:03:24.086 and the fact that we're no longer eating spoiled meats. 00:03:24.100 --> 00:03:26.396 So the best thing that happened to us so far 00:03:26.410 --> 00:03:28.346 in the medical arena in cancer research 00:03:28.360 --> 00:03:30.551 is the fact that the refrigerator was invented. 00:03:30.575 --> 00:03:31.776 (Laughter) 00:03:31.790 --> 00:03:33.046 And so -- yeah, I know. 00:03:33.070 --> 00:03:34.486 We're not doing so well here. 00:03:34.490 --> 00:03:36.826 I don't want to miniaturize the progress 00:03:36.840 --> 00:03:40.216 and everything that's been done in cancer research. 00:03:40.420 --> 00:03:43.836 Look, there is like 50-plus years of good cancer research 00:03:43.840 --> 00:03:47.256 that discovered major, major things that taught us about cancer. 00:03:47.270 --> 00:03:49.006 But all that said, 00:03:49.010 --> 00:03:51.582 we have a lot of heavy lifting to still do ahead of us. 00:03:53.310 --> 00:03:56.406 Again, I will argue that the primary reason why this is the case, 00:03:56.430 --> 00:03:58.430 why we have not done that remarkably well, 00:03:58.464 --> 00:04:00.296 is really we're fighting blindly here. 00:04:00.310 --> 00:04:02.526 And this is where medical imaging comes in. 00:04:02.526 --> 00:04:04.206 This is where my own work comes in. 00:04:04.930 --> 00:04:07.666 And so to give you a sense of the best medical imaging 00:04:07.670 --> 00:04:10.166 that's offered today to brain cancer patients, 00:04:10.166 --> 00:04:12.342 or actually generally to all cancer patients, 00:04:12.350 --> 00:04:14.286 take a look at this PET scan right here. 00:04:14.290 --> 00:04:15.529 Let's see. There we go. 00:04:16.149 --> 00:04:17.846 So this is a PET/CT scan, 00:04:17.870 --> 00:04:20.325 and what you'll see in this PET/CT scan 00:04:20.349 --> 00:04:23.566 is the CT scan will show you where the bones are, 00:04:23.580 --> 00:04:25.980 and the PET scan will show you where tumors are. 00:04:26.340 --> 00:04:28.556 Now, what you can see here 00:04:28.560 --> 00:04:30.976 is essentially a sugar molecule 00:04:30.990 --> 00:04:32.806 that was added a small little tag 00:04:32.810 --> 00:04:34.906 that is signaling to us outside of the body, 00:04:34.910 --> 00:04:36.206 "Hey, I'm here." 00:04:36.230 --> 00:04:40.046 And those sugar molecules are injected into these patients by the billions, 00:04:40.050 --> 00:04:41.746 and they're going all over the body 00:04:41.750 --> 00:04:43.830 looking for cells that are hungry for sugar. 00:04:44.730 --> 00:04:47.386 You'll see that the heart, for example, lights up there. 00:04:47.390 --> 00:04:49.606 That's because the heart needs a lot of sugar. 00:04:49.606 --> 00:04:51.942 You'll also see that the bladder lights up there. 00:04:51.942 --> 00:04:54.558 That's because the bladder is the thing that's clearing 00:04:54.560 --> 00:04:55.960 the sugar away from our body. 00:04:56.826 --> 00:04:58.826 And then you'll see a few other hot spots, 00:04:58.826 --> 00:05:00.442 and these are in fact the tumors. 00:05:00.450 --> 00:05:02.586 Now, this is a really a wonderful technology. 00:05:02.600 --> 00:05:05.736 For the first time it allowed us to look into someone's body 00:05:05.750 --> 00:05:08.126 without picking up each and every one of the cells 00:05:08.140 --> 00:05:09.996 and putting them under the microscope, 00:05:09.996 --> 00:05:13.012 but in a noninvasive way allowing us to look into someone's body 00:05:13.020 --> 00:05:15.156 and ask, "Hey, has the cancer metastasized? 00:05:15.156 --> 00:05:16.372 Where is it?" 00:05:16.372 --> 00:05:18.868 And the PET scans here are showing you very clearly 00:05:18.870 --> 00:05:21.150 where are these hot spots, where is the tumor. 00:05:22.140 --> 00:05:25.436 So as miraculous as this might seem, 00:05:25.460 --> 00:05:28.340 unfortunately, well, it's not that great. 00:05:29.100 --> 00:05:31.180 You see, those small little hot spots there. 00:05:31.900 --> 00:05:35.420 Can anyone guess how many cancer cells are in any one of these tumors? 00:05:37.290 --> 00:05:39.626 So it's about 100 million cancer cells, 00:05:39.640 --> 00:05:42.336 and let me make sure that this number sunk in. 00:05:42.336 --> 00:05:44.672 In each and every one of these small little blips 00:05:44.690 --> 00:05:46.266 that you're seeing on the image, 00:05:46.290 --> 00:05:50.386 there needs to be at least 100 million cancer cells 00:05:50.386 --> 00:05:51.922 in order for it to be detected. 00:05:51.930 --> 00:05:54.386 Now, if that seemed to you like a very large number, 00:05:54.410 --> 00:05:56.090 it is a very large number. 00:05:57.280 --> 00:05:59.336 This is in fact an incredibly large number, 00:05:59.340 --> 00:06:02.676 because what we really need in order to pick up something early enough 00:06:02.676 --> 00:06:05.612 to do something about it, to do something meaningful about it, 00:06:05.630 --> 00:06:08.766 well, we need to pick up tumors that are a thousand cells in size, 00:06:08.790 --> 00:06:10.926 and ideally just a handful of cells in size. 00:06:10.951 --> 00:06:12.974 So we're clearly pretty far away from this. 00:06:12.999 --> 00:06:14.887 And I remember looking at these numbers 00:06:14.912 --> 00:06:17.760 and being struck by the humonguos difference 00:06:17.784 --> 00:06:20.577 between where we are today and where we need to be. 00:06:20.601 --> 00:06:23.791 And saying, I'm an engineer - it was very early in my career - 00:06:23.816 --> 00:06:26.736 I'm an engineer, let's see if there's something I can do here. 00:06:26.863 --> 00:06:30.339 I started talking to a lot of surgeons, radiologists, 00:06:30.371 --> 00:06:32.104 and other types of doctors 00:06:32.258 --> 00:06:34.036 that deal with brain cancer patients, 00:06:34.061 --> 00:06:36.767 because I was really passionate about brain cancer. 00:06:36.847 --> 00:06:40.980 And I remember talking to them, and boy, I was just horrified 00:06:41.154 --> 00:06:44.918 at how archaic medicine is today. 00:06:45.500 --> 00:06:47.756 So we're going to play a little experiment here. 00:06:47.780 --> 00:06:50.236 I'm going to ask each of you to now play and imagine 00:06:50.260 --> 00:06:51.620 that you are brain surgeons. 00:06:52.800 --> 00:06:56.816 And you guys are now at an operating room, 00:06:56.840 --> 00:06:58.856 and there's a patient in front of you, 00:06:58.880 --> 00:07:02.600 and your task is to make sure that the tumor is out. 00:07:03.200 --> 00:07:06.576 So you're looking down at the patient, 00:07:06.600 --> 00:07:08.936 the skin and the skull have already been removed, 00:07:08.960 --> 00:07:10.496 so you're looking at the brain. 00:07:10.520 --> 00:07:12.216 And all you know about this patient 00:07:12.240 --> 00:07:15.056 is that there's a tumor about the size of a golf ball or so 00:07:15.080 --> 00:07:17.400 in the right frontal lobe of this person's brain. 00:07:17.880 --> 00:07:19.216 And that's more or less it. 00:07:19.240 --> 00:07:22.456 So you're looking down, and unfortunately everything looks the same, 00:07:22.480 --> 00:07:25.576 because brain cancer tissue and healthy brain tissue 00:07:25.600 --> 00:07:27.176 really just look the same. 00:07:27.200 --> 00:07:29.096 And so you're going in with your thumb, 00:07:29.120 --> 00:07:31.456 and you start to press a little bit on the brain, 00:07:31.480 --> 00:07:33.896 because tumors tend to be a little harder, stiffer, 00:07:33.920 --> 00:07:36.536 and so you go in and go a little bit like this and say, 00:07:36.560 --> 00:07:38.536 "It seems like the tumor is right there." 00:07:38.560 --> 00:07:41.216 Then you take out your knife and start cutting the tumor 00:07:41.240 --> 00:07:42.496 piece by piece by piece, 00:07:42.520 --> 00:07:44.216 and as you're taking the tumor out, 00:07:44.240 --> 00:07:46.456 then you're getting to a stage where you think, 00:07:46.480 --> 00:07:48.616 "All right, I'm done. I took out everything." 00:07:48.640 --> 00:07:50.176 And at this stage, if that's -- 00:07:50.200 --> 00:07:52.896 so far everything sounded, like, pretty crazy -- 00:07:52.920 --> 00:07:56.616 you're now about to face the most challenging decision of your life here. 00:07:56.640 --> 00:07:58.176 Because now you need to decide, 00:07:58.200 --> 00:08:00.896 should I stop here and let this patient go, 00:08:00.920 --> 00:08:03.856 risking that there might be some leftover cancer cells behind 00:08:03.880 --> 00:08:05.736 that I just couldn't see, 00:08:05.760 --> 00:08:08.416 or should I take away some extra margins, 00:08:08.440 --> 00:08:11.296 typically about an inch or so around the tumor 00:08:11.320 --> 00:08:13.520 just to be sure that I removed everything? 00:08:15.200 --> 00:08:19.040 So this is not a simple decision to make, 00:08:19.640 --> 00:08:21.576 and unfortunately this is the decision 00:08:21.600 --> 00:08:24.936 that brain cancer surgeons have to take every single day 00:08:24.960 --> 00:08:26.560 as they're seeing their patients. 00:08:27.120 --> 00:08:30.056 And so I remember talking to a few friends of mine in the lab, 00:08:30.080 --> 00:08:32.456 and we say, "Boy, there's got to be a better way." 00:08:32.480 --> 00:08:35.895 But not just like you tell a friend that there's got to be a better way. 00:08:35.919 --> 00:08:37.873 There's just got to be a better way here. 00:08:37.897 --> 00:08:39.416 This is just incredible. 00:08:39.440 --> 00:08:41.096 And so we looked back. 00:08:41.120 --> 00:08:44.096 Remember those PET scans I told you about, the sugar and so on. 00:08:44.120 --> 00:08:46.856 We said, hey, how about instead of using sugar molecules, 00:08:46.880 --> 00:08:50.016 let's maybe take tiny, tiny little particles made of gold 00:08:50.040 --> 00:08:53.696 and let's program them with some interesting chemistry around them. 00:08:53.720 --> 00:08:56.136 Let's program them to look for cancer cells. 00:08:56.160 --> 00:08:58.256 And then we will inject these gold particles 00:08:58.280 --> 00:09:00.536 into these patients by the billions again, 00:09:00.560 --> 00:09:02.536 and we'll have them go all over the body, 00:09:02.560 --> 00:09:04.536 and just like secret agents, if you will, 00:09:04.560 --> 00:09:07.376 go and walk by every single cell in our body 00:09:07.400 --> 00:09:09.096 and knock on the door of that cell, 00:09:09.120 --> 00:09:11.856 and ask, "Are you a cancer cell or are you a healthy cell? 00:09:11.880 --> 00:09:13.896 If you're a healthy cell, we're moving on. 00:09:13.920 --> 00:09:16.656 If you're a cancer cell, we're sticking in and shining out 00:09:16.680 --> 00:09:18.776 and telling us, "Hey, look at me, I'm here." 00:09:18.800 --> 00:09:21.176 And they'll do it through some interesting cameras 00:09:21.200 --> 00:09:22.616 that we developed in the lab. 00:09:22.640 --> 00:09:25.575 And once we see that, maybe we can guide brain cancer surgeons 00:09:25.599 --> 00:09:29.000 towards taking only the tumor and leaving the healthy brain alone. 00:09:29.520 --> 00:09:32.576 And so we've tested that, and boy, this works well. 00:09:32.600 --> 00:09:34.576 So I'm going to show you an example now. 00:09:34.600 --> 00:09:36.376 What you're looking at here 00:09:36.800 --> 00:09:40.450 is an image of a mouse's brain. 00:09:40.475 --> 00:09:43.522 The mouse is fully anestethized, so it's not feeling anything - 00:09:43.560 --> 00:09:46.038 and we've implanted into this mouse's brain 00:09:46.120 --> 00:09:47.376 a small little tumor. 00:09:47.418 --> 00:09:50.450 That tumor was taken from a brain cancer patient 00:09:50.506 --> 00:09:52.132 who donated it. 00:09:52.800 --> 00:09:55.416 And so this tumor is now growing in this mouse's brain, 00:09:55.440 --> 00:09:58.096 and then we've taken a doctor and just asked this doctor 00:09:58.120 --> 00:10:00.936 to please operate on the mouse as if that was a patient, 00:10:00.960 --> 00:10:03.376 and take out piece by piece out of the tumor, 00:10:03.400 --> 00:10:05.176 and while he's doing that, 00:10:05.200 --> 00:10:08.176 we're going to take images to see where the gold particles are. 00:10:08.200 --> 00:10:09.816 And so we're going to first start 00:10:09.840 --> 00:10:12.256 by injecting these gold particles into this mouse, 00:10:12.280 --> 00:10:15.176 and we're going to see right here at the very left there 00:10:15.200 --> 00:10:16.456 that image at the bottom 00:10:16.480 --> 00:10:18.976 is the image that shows where the gold particles are. 00:10:19.000 --> 00:10:21.056 The nice thing is that these gold particles 00:10:21.080 --> 00:10:23.096 actually made it all the way to the tumor, 00:10:23.120 --> 00:10:26.776 and then they shine out and tell us, "Hey, we're here. Here's the tumor." 00:10:26.800 --> 00:10:28.176 So now we can see the tumor, 00:10:28.200 --> 00:10:30.336 but we're not showing this to the doctor yet. 00:10:30.360 --> 00:10:33.416 We're asking the doctor, now please start cutting away the tumor, 00:10:33.440 --> 00:10:36.856 and you'll see here the doctor just took the first quadrant of the tumor 00:10:36.880 --> 00:10:39.096 and you see that first quadrant is now missing. 00:10:39.120 --> 00:10:41.576 The doctor then took the second quadrant, the third, 00:10:41.600 --> 00:10:43.336 and now it appears to be everything. 00:10:43.360 --> 00:10:46.096 And so at this stage, the doctor came back to us and said, 00:10:46.120 --> 00:10:48.376 "All right, I'm done. What do you want me to do? 00:10:48.400 --> 00:10:49.976 Should I keep things as they are 00:10:50.000 --> 00:10:52.496 or do you want me to take some extra margins around?" 00:10:52.520 --> 00:10:54.176 And then we said, "Well, hang on. 00:10:54.200 --> 00:10:55.940 You've missed those two spots." 00:10:55.965 --> 00:10:58.972 And it's extremely hard to see on the projector, but trust me - 00:10:59.028 --> 00:11:00.856 it's there, some of you might notice - 00:11:00.880 --> 00:11:03.147 there are two small red dots there 00:11:03.157 --> 00:11:04.910 in that area there. 00:11:05.489 --> 00:11:08.114 We told the doctor, "You've missed those two spots," 00:11:08.139 --> 00:11:10.139 so rather than taking huge margins around, 00:11:10.164 --> 00:11:11.996 only take out those tiny little areas. 00:11:12.020 --> 00:11:14.036 Take them out, and then let's take a look." 00:11:14.060 --> 00:11:17.304 And so the doctor took them away, and lo and behold, 00:11:17.540 --> 00:11:19.556 the cancer is now completely gone. 00:11:20.380 --> 00:11:21.756 Now, the important thing 00:11:21.780 --> 00:11:24.400 is that it's not just that the cancer is completely gone 00:11:24.424 --> 00:11:25.756 from this person's brain, 00:11:25.780 --> 00:11:27.100 or from this mouse's brain. 00:11:27.860 --> 00:11:29.116 The most important thing 00:11:29.140 --> 00:11:32.036 is that we did not have to take huge amounts of healthy brain 00:11:32.060 --> 00:11:33.276 in the process. 00:11:33.300 --> 00:11:35.476 And so now we can actually imagine a world 00:11:35.500 --> 00:11:39.396 where doctors and surgeons, as they take away a tumor, 00:11:39.420 --> 00:11:42.860 they actually know what to take out, and they no longer have to guess. 00:11:44.220 --> 00:11:48.156 Now, here's why it's extremely important to take those tiny little leftover tumors. 00:11:48.180 --> 00:11:51.036 Those leftover tumors, even if it's just a handful of cells, 00:11:51.060 --> 00:11:54.116 they will grow to recur the tumor, 00:11:54.140 --> 00:11:55.796 for the tumor to come back. 00:11:55.820 --> 00:11:57.756 In fact, the reason why 80 to 90 percent 00:11:57.780 --> 00:11:59.996 of those brain cancer surgeries ultimately fail 00:12:00.020 --> 00:12:03.796 is because of those small little extra margins that were left positive, 00:12:03.820 --> 00:12:06.500 those small little leftover tumors that were left there. 00:12:07.260 --> 00:12:10.215 And I think, where medical imaging is heading to, 00:12:10.244 --> 00:12:12.515 is the ability to look into the human body 00:12:12.546 --> 00:12:16.696 and actually see each and every one of these cells separately. 00:12:16.782 --> 00:12:18.831 The ability like this would allow us 00:12:18.856 --> 00:12:21.370 to pick up tumors way early in the process 00:12:21.379 --> 00:12:23.863 way before it's a hundred million cells in size, 00:12:23.874 --> 00:12:25.915 so we can actually do something about it. 00:12:25.966 --> 00:12:28.561 An ability to see each and every one of the cells 00:12:28.569 --> 00:12:30.894 might also allow us to ask insightful questions. 00:12:30.934 --> 00:12:32.941 So in the lab, we're now getting to a point 00:12:33.014 --> 00:12:36.220 where we can actually start asking these cancer cells real questions 00:12:36.245 --> 00:12:39.974 like, for example, are you responding to the treatment we're giving you or not? 00:12:39.999 --> 00:12:42.934 If you're not, we will know to stop the treatment right away - 00:12:42.974 --> 00:12:45.101 days into the treatment, not three months. 00:12:46.228 --> 00:12:48.095 Also for patients like Ehud, 00:12:48.442 --> 00:12:52.109 that are going through these nasty chemotherapy drugs. 00:12:52.823 --> 00:12:56.902 For them not to suffer through those horendous side effects of the drugs, 00:12:56.985 --> 00:12:59.728 when drugs are in fact not even helping them. 00:13:01.900 --> 00:13:03.124 So to be frank here, 00:13:03.160 --> 00:13:06.616 we're pretty far away from winning the war against cancer, 00:13:06.640 --> 00:13:07.896 just to be realistic. 00:13:07.920 --> 00:13:09.816 But at least I am hopeful 00:13:09.840 --> 00:13:13.976 that we should be able to fight this war with better medical imaging techniques 00:13:14.000 --> 00:13:15.856 in the way that is not blind. 00:13:15.880 --> 00:13:17.096 Thank you. 00:13:17.120 --> 00:13:19.360 (Applause)