1 00:00:00,602 --> 00:00:04,160 The first patient to ever be treated with an antibiotic 2 00:00:04,160 --> 00:00:05,693 was a policeman in Oxford. 3 00:00:05,693 --> 00:00:07,800 On his day off from work, 4 00:00:07,800 --> 00:00:11,173 he was scratched by a rose thorn while working in the garden. 5 00:00:11,173 --> 00:00:14,848 That small scratch became infected. 6 00:00:14,848 --> 00:00:17,163 Over the next few days, his head was swollen 7 00:00:17,163 --> 00:00:18,884 with abscesses, 8 00:00:18,884 --> 00:00:21,167 and in fact his eye was so infected 9 00:00:21,167 --> 00:00:23,070 that they had to take it out, 10 00:00:23,070 --> 00:00:26,050 and by February of 1941, 11 00:00:26,050 --> 00:00:28,487 this poor man was on the verge of dying. 12 00:00:28,487 --> 00:00:31,685 He was at Radcliffe Infirmary in Oxford, 13 00:00:31,685 --> 00:00:33,991 and fortunately for him, 14 00:00:33,991 --> 00:00:35,041 a small team of doctors 15 00:00:35,041 --> 00:00:36,930 led by a Dr. Howard Florey 16 00:00:36,930 --> 00:00:38,997 had managed to synthesize 17 00:00:38,997 --> 00:00:41,820 a very small amount of penicillin, 18 00:00:41,820 --> 00:00:43,901 a drug that had been discovered 19 00:00:43,901 --> 00:00:46,223 12 years before by Alexander Fleming 20 00:00:46,223 --> 00:00:49,930 but had never actually been used to treat a human, 21 00:00:49,930 --> 00:00:52,340 and indeed no one even knew if the drug would work, 22 00:00:52,340 --> 00:00:55,980 if it was full of impurities that would kill the patient, 23 00:00:55,980 --> 00:00:57,894 but Florey and his team figured 24 00:00:57,894 --> 00:00:59,616 if they had to use it, they might as well use it 25 00:00:59,616 --> 00:01:02,181 on someone who was going to die anyway. 26 00:01:02,181 --> 00:01:05,836 So they gave Albert Alexander, 27 00:01:05,836 --> 00:01:08,715 this Oxford policeman, the drug, 28 00:01:08,715 --> 00:01:11,132 and within 24 hours, 29 00:01:11,132 --> 00:01:13,394 he started getting better. 30 00:01:13,394 --> 00:01:17,370 His fever went down, his appetite came back. 31 00:01:17,370 --> 00:01:19,683 Second day, he was doing much better. 32 00:01:19,683 --> 00:01:21,921 They were starting to run out of penicillin, 33 00:01:21,921 --> 00:01:23,983 so what they would do was run with his urine 34 00:01:23,983 --> 00:01:26,833 across the road to re-synthesize the penicillin from his urine 35 00:01:26,833 --> 00:01:28,768 and give it back to him, 36 00:01:28,768 --> 00:01:30,016 and that worked. 37 00:01:30,016 --> 00:01:32,496 Day four, well on the way to recovery. 38 00:01:32,496 --> 00:01:34,134 This was a miracle. 39 00:01:34,134 --> 00:01:38,370 Day five, they ran out of penicillin, 40 00:01:38,370 --> 00:01:40,637 and the poor man died. 41 00:01:40,637 --> 00:01:43,350 So that story didn't end that well, 42 00:01:43,350 --> 00:01:47,700 but fortunately for millions of other people, 43 00:01:47,700 --> 00:01:50,706 like this child who was treated again in the early 1940s, 44 00:01:50,706 --> 00:01:53,740 who was again dying of a sepsis, 45 00:01:53,740 --> 00:01:56,890 and within just six days, you can see, 46 00:01:56,890 --> 00:02:00,243 recovered thanks to this wonder drug, penicillin. 47 00:02:00,243 --> 00:02:02,201 Millions have lived, 48 00:02:02,201 --> 00:02:05,785 and global health has been transformed. 49 00:02:05,785 --> 00:02:08,578 Now, antibiotics have been used 50 00:02:08,578 --> 00:02:11,705 for patients like this, 51 00:02:11,705 --> 00:02:13,842 but they've also been used rather frivolously 52 00:02:13,842 --> 00:02:15,586 in some instances, 53 00:02:15,586 --> 00:02:17,949 for treating someone with just a cold or the flu, 54 00:02:17,949 --> 00:02:20,423 which they might not have responded to an antibiotic, 55 00:02:20,423 --> 00:02:24,161 and they've also been used in large quantities 56 00:02:24,161 --> 00:02:27,803 sub-therapeutically, which means in small concentrations, 57 00:02:27,803 --> 00:02:30,986 to make chicken and hogs grow faster. 58 00:02:30,986 --> 00:02:34,552 Just to save a few pennies on the price of meat, 59 00:02:34,552 --> 00:02:37,252 we've spent a lot of antibiotics on animals, 60 00:02:37,252 --> 00:02:39,614 not for treatment, not for sick animals, 61 00:02:39,614 --> 00:02:42,730 but primarily for growth promotion. 62 00:02:42,730 --> 00:02:45,587 Now, what did that lead us to? 63 00:02:45,587 --> 00:02:48,298 Basically, the massive use of antibiotics 64 00:02:48,298 --> 00:02:49,783 around the world 65 00:02:49,783 --> 00:02:53,587 has imposed such large selection pressure on bacteria 66 00:02:53,587 --> 00:02:56,240 that resistance is now a problem, 67 00:02:56,240 --> 00:02:58,010 because we've now selected for just 68 00:02:58,010 --> 00:02:59,985 the resistant bacteria. 69 00:02:59,985 --> 00:03:02,825 And I'm sure you've all read about this in the newspapers, 70 00:03:02,825 --> 00:03:04,629 you've seen this in every magazine 71 00:03:04,629 --> 00:03:06,528 that you come across, 72 00:03:06,528 --> 00:03:08,328 but I really want you to appreciate 73 00:03:08,328 --> 00:03:10,499 the significance of this problem. 74 00:03:10,499 --> 00:03:11,950 This is serious. 75 00:03:11,950 --> 00:03:16,766 The next slide I'm about to show you is of carbapenem resistance in acinetobacter. 76 00:03:16,766 --> 00:03:19,154 Acinetobacter is a nasty hospital bug, 77 00:03:19,154 --> 00:03:20,487 and carbapenem is pretty much 78 00:03:20,487 --> 00:03:22,265 the strongest class of antibiotics 79 00:03:22,265 --> 00:03:24,721 that we can throw at this bug. 80 00:03:24,721 --> 00:03:27,990 And you can see in 1999 81 00:03:27,990 --> 00:03:30,185 this is the pattern of resistance, 82 00:03:30,185 --> 00:03:33,218 mostly under about 10 percent across the United States. 83 00:03:33,218 --> 00:03:37,215 Now watch what happens when we play the video. 84 00:03:46,461 --> 00:03:48,516 So I don't know where you live, 85 00:03:48,516 --> 00:03:51,418 but wherever it is, it certainly is a lot worse now 86 00:03:51,418 --> 00:03:53,915 than it was in 1999, 87 00:03:53,915 --> 00:03:57,886 and that is the problem of antibiotic resistance. 88 00:03:57,886 --> 00:03:59,573 It's a global issue 89 00:03:59,573 --> 00:04:02,001 affecting both rich and poor countries, 90 00:04:02,001 --> 00:04:04,242 and at the heart of it, you might say, well, 91 00:04:04,242 --> 00:04:06,170 isn't this really just a medical issue? 92 00:04:06,170 --> 00:04:08,731 If we taught doctors how not to use antibiotics as much, 93 00:04:08,731 --> 00:04:11,676 if we taught patients how not to demand antibiotics, 94 00:04:11,676 --> 00:04:13,131 perhaps this really wouldn't be an issue, 95 00:04:13,131 --> 00:04:15,120 and maybe the pharmaceutical companies 96 00:04:15,120 --> 00:04:16,875 should be working harder to develop 97 00:04:16,875 --> 00:04:18,511 more antibiotics. 98 00:04:18,511 --> 00:04:21,890 Now, it turns out that there's something fundamental about antibiotics 99 00:04:21,890 --> 00:04:23,673 which makes it different from other drugs, 100 00:04:23,673 --> 00:04:25,694 which is that if I misuse antibiotics 101 00:04:25,694 --> 00:04:27,431 or I use antibiotics, 102 00:04:27,431 --> 00:04:31,291 not only am I affected but others are affected as well, 103 00:04:31,291 --> 00:04:33,629 in the same way as if I choose to drive to work 104 00:04:33,629 --> 00:04:36,268 or take a plane to go somewhere, 105 00:04:36,268 --> 00:04:38,242 that the costs I impose on others 106 00:04:38,242 --> 00:04:40,682 through global climate change go everywhere, 107 00:04:40,682 --> 00:04:43,455 and I don't necessarily take these costs into consideration. 108 00:04:43,455 --> 00:04:46,334 This is what economists might call a problem of the commons, 109 00:04:46,334 --> 00:04:48,314 and the problem of the commons is exactly 110 00:04:48,314 --> 00:04:50,739 what we face in the case of antibiotics as well: 111 00:04:50,739 --> 00:04:52,889 that we don't consider — 112 00:04:52,889 --> 00:04:55,891 and we, including individuals, patients, 113 00:04:55,891 --> 00:04:59,050 hospitals, entire health systems — 114 00:04:59,050 --> 00:05:01,198 do not consider the costs that they impose on others 115 00:05:01,198 --> 00:05:03,554 by the way antibiotics are actually used. 116 00:05:03,554 --> 00:05:05,959 Now, that's a problem that's similar 117 00:05:05,959 --> 00:05:07,941 to another area that we all know about, 118 00:05:07,941 --> 00:05:09,870 which is of fuel use and energy, 119 00:05:09,870 --> 00:05:11,369 and of course energy use 120 00:05:11,369 --> 00:05:14,451 both depletes energy as well as 121 00:05:14,451 --> 00:05:17,713 leads to local pollution and climate change. 122 00:05:17,713 --> 00:05:19,523 And typically, in the case of energy, 123 00:05:19,523 --> 00:05:21,831 there are two ways in which you can deal with the problem. 124 00:05:21,831 --> 00:05:25,576 One is, we can make better use of the oil that we have, 125 00:05:25,576 --> 00:05:27,691 and that's analogous to making better use 126 00:05:27,691 --> 00:05:29,239 of existing antibiotics, 127 00:05:29,239 --> 00:05:30,930 and we can do this in a number of ways 128 00:05:30,930 --> 00:05:33,160 that we'll talk about in a second, 129 00:05:33,160 --> 00:05:36,847 but the other option is the "drill, baby, drill" option, 130 00:05:36,847 --> 00:05:41,038 which in the case of antibiotics is to go find new antibiotics. 131 00:05:41,050 --> 00:05:43,100 Now, these are not separate. 132 00:05:43,100 --> 00:05:46,522 They're related, because if we invest heavily 133 00:05:46,522 --> 00:05:48,806 in new oil wells, 134 00:05:48,806 --> 00:05:51,760 we reduce the incentives for conservation of oil 135 00:05:51,760 --> 00:05:54,286 in the same way that's going to happen for antibiotics. 136 00:05:54,286 --> 00:05:56,454 The reverse is also going to happen, which is that 137 00:05:56,454 --> 00:05:58,792 if we use our antibiotics appropriately, 138 00:05:58,792 --> 00:06:01,573 we don't necessarily have to make the investments 139 00:06:01,573 --> 00:06:03,750 in new drug development. 140 00:06:03,750 --> 00:06:06,466 And if you thought that these two were entirely, 141 00:06:06,466 --> 00:06:08,288 fully balanced between these two options, 142 00:06:08,288 --> 00:06:10,471 you might consider the fact that 143 00:06:10,471 --> 00:06:12,743 this is really a game that we're playing. 144 00:06:12,743 --> 00:06:15,184 The game is really one of coevolution, 145 00:06:15,184 --> 00:06:18,116 and coevolution is, in this particular picture, 146 00:06:18,116 --> 00:06:20,472 between cheetahs and gazelles. 147 00:06:20,472 --> 00:06:22,090 Cheetahs have evolved to run faster, 148 00:06:22,090 --> 00:06:23,667 because if they didn't run faster, 149 00:06:23,667 --> 00:06:25,613 they wouldn't get any lunch. 150 00:06:25,613 --> 00:06:28,300 Gazelles have evolved to run faster because 151 00:06:28,300 --> 00:06:31,509 if they don't run faster, they would be lunch. 152 00:06:31,509 --> 00:06:34,395 Now, this is the game we're playing against the bacteria, 153 00:06:34,395 --> 00:06:36,452 except we're not the cheetahs, 154 00:06:36,452 --> 00:06:37,929 we're the gazelles, 155 00:06:37,929 --> 00:06:40,716 and the bacteria would, 156 00:06:40,716 --> 00:06:42,549 just in the course of this little talk, 157 00:06:42,549 --> 00:06:43,975 would have had kids and grandkids 158 00:06:43,975 --> 00:06:46,360 and figured out how to be resistant 159 00:06:46,360 --> 00:06:48,834 just by selection and trial and error, 160 00:06:48,834 --> 00:06:50,746 trying it over and over again. 161 00:06:50,746 --> 00:06:54,518 Whereas how do we stay ahead of the bacteria? 162 00:06:54,518 --> 00:06:56,572 We have drug discovery processes, 163 00:06:56,572 --> 00:06:58,202 screening molecules, 164 00:06:58,202 --> 00:06:59,930 we have clinical trials, 165 00:06:59,930 --> 00:07:02,078 and then, when we think we have a drug, 166 00:07:02,078 --> 00:07:05,823 then we have the FDA regulatory process. 167 00:07:05,823 --> 00:07:08,001 And once we go through all of that, 168 00:07:08,001 --> 00:07:10,266 then we try to stay one step ahead 169 00:07:10,266 --> 00:07:12,562 of the bacteria. 170 00:07:12,562 --> 00:07:15,339 Now, this is clearly not a game that can be sustained, 171 00:07:15,339 --> 00:07:16,476 or one that we can win 172 00:07:16,476 --> 00:07:18,313 by simply innovating to stay ahead. 173 00:07:18,313 --> 00:07:21,618 We've got to slow the pace of coevolution down, 174 00:07:21,618 --> 00:07:25,300 and there are ideas that we can borrow from energy 175 00:07:25,300 --> 00:07:27,070 that are helpful in thinking about 176 00:07:27,070 --> 00:07:28,607 how we might want to do this in the case 177 00:07:28,607 --> 00:07:30,153 of antibiotics as well. 178 00:07:30,153 --> 00:07:32,393 Now, if you think about how we deal with 179 00:07:32,393 --> 00:07:33,816 energy pricing, for instance, 180 00:07:33,816 --> 00:07:35,665 we consider emissions taxes, 181 00:07:35,665 --> 00:07:38,249 which means we're imposing the costs of pollution 182 00:07:38,249 --> 00:07:41,080 on people who actually use that energy. 183 00:07:41,080 --> 00:07:44,060 We might consider doing that for antibiotics as well, 184 00:07:44,060 --> 00:07:46,771 and perhaps that would make sure that antibiotics 185 00:07:46,771 --> 00:07:49,172 actually get used appropriately. 186 00:07:49,172 --> 00:07:51,200 There are clean energy subsidies, 187 00:07:51,200 --> 00:07:54,255 which are to switch to fuels which don't pollute as much 188 00:07:54,255 --> 00:07:57,100 or perhaps don't need fossil fuels. 189 00:07:57,100 --> 00:07:59,960 Now, the analogy here is, perhaps we need 190 00:07:59,960 --> 00:08:02,220 to move away from using antibiotics, 191 00:08:02,220 --> 00:08:05,936 and if you think about it, what are good substitutes for antibiotics? 192 00:08:05,936 --> 00:08:08,100 Well, turns out that anything that reduces 193 00:08:08,100 --> 00:08:10,343 the need for the antibiotic would really work, 194 00:08:10,343 --> 00:08:13,485 so that could include improving hospital infection control 195 00:08:13,485 --> 00:08:16,380 or vaccinating people, 196 00:08:16,380 --> 00:08:18,677 particularly against the seasonal influenza. 197 00:08:18,677 --> 00:08:21,208 And the seasonal flu is probably 198 00:08:21,208 --> 00:08:24,212 the biggest driver of antibiotic use, 199 00:08:24,212 --> 00:08:27,131 both in this country as well as in many other countries, 200 00:08:27,131 --> 00:08:29,151 and that could really help. 201 00:08:29,151 --> 00:08:33,254 A third option might include something like tradeable permits. 202 00:08:33,254 --> 00:08:37,500 And these seem like faraway scenarios, 203 00:08:37,500 --> 00:08:39,927 but if you consider the fact that we might not 204 00:08:39,927 --> 00:08:43,310 have antibiotics for many people who have infections, 205 00:08:43,310 --> 00:08:45,547 we might consider the fact that we might 206 00:08:45,547 --> 00:08:47,858 want to allocate who actually gets to use 207 00:08:47,858 --> 00:08:50,572 some of these antibiotics over others, 208 00:08:50,572 --> 00:08:53,898 and some of these might have to be on the basis of clinical need, 209 00:08:53,898 --> 00:08:55,833 but also on the basis of pricing. 210 00:08:55,833 --> 00:08:57,743 And certainly consumer education works. 211 00:08:57,743 --> 00:09:00,344 Very often, people overuse antibiotics 212 00:09:00,344 --> 00:09:02,621 or prescribe too much without necessarily 213 00:09:02,621 --> 00:09:04,227 knowing that they do so, 214 00:09:04,227 --> 00:09:05,658 and feedback mechanisms 215 00:09:05,658 --> 00:09:07,560 have been found to be useful, 216 00:09:07,560 --> 00:09:09,489 both on energy — 217 00:09:09,489 --> 00:09:11,029 When you tell someone that they're using 218 00:09:11,029 --> 00:09:12,946 a lot of energy during peak hour, 219 00:09:12,946 --> 00:09:14,416 they tend to cut back, 220 00:09:14,416 --> 00:09:16,183 and the same sort of example has been performed 221 00:09:16,183 --> 00:09:17,993 even in the case of antibiotics. 222 00:09:17,993 --> 00:09:19,974 A hospital in St. Louis basically would put up 223 00:09:19,974 --> 00:09:24,166 on a chart the names of surgeons 224 00:09:24,166 --> 00:09:26,385 in the ordering of how much antibiotics they'd used 225 00:09:26,385 --> 00:09:28,329 in the previous month, 226 00:09:28,329 --> 00:09:30,671 and this was purely an informational feedback, 227 00:09:30,671 --> 00:09:31,854 there was no shaming, 228 00:09:31,854 --> 00:09:33,989 but essentially that provided some information back 229 00:09:33,989 --> 00:09:35,943 to surgeons that maybe they could rethink 230 00:09:35,943 --> 00:09:38,172 how they were using antibiotics. 231 00:09:38,172 --> 00:09:40,186 Now, there's a lot that can be done 232 00:09:40,186 --> 00:09:42,335 on the supply side as well. 233 00:09:42,335 --> 00:09:44,112 If you look at the price of penicillin, 234 00:09:44,112 --> 00:09:45,763 the cost per day is about 10 cents. 235 00:09:45,763 --> 00:09:47,521 It's a fairly cheap drug. 236 00:09:47,521 --> 00:09:49,658 If you take drugs that have been introduced since then — 237 00:09:49,658 --> 00:09:52,302 linezolid or daptomycin — 238 00:09:52,302 --> 00:09:54,180 those are significantly more expensive, 239 00:09:54,180 --> 00:09:59,631 so to a world that has been used to paying 10 cents a day for antibiotics, 240 00:09:59,633 --> 00:10:02,163 the idea of paying 180 dollars per day 241 00:10:02,163 --> 00:10:03,730 seems like a lot. 242 00:10:03,730 --> 00:10:05,717 But what is that really telling us? 243 00:10:05,717 --> 00:10:07,682 That price is telling us 244 00:10:07,682 --> 00:10:09,580 that we should no longer 245 00:10:09,580 --> 00:10:13,697 take cheap, effective antibiotics as a given 246 00:10:13,697 --> 00:10:15,464 into the foreseeable future, 247 00:10:15,464 --> 00:10:17,994 and that price is a signal to us 248 00:10:17,994 --> 00:10:19,603 that perhaps we need to be paying 249 00:10:19,603 --> 00:10:22,156 much more attention to conservation. 250 00:10:22,156 --> 00:10:24,860 That price is also a signal 251 00:10:24,860 --> 00:10:27,735 that maybe we need to start looking at other technologies, 252 00:10:27,735 --> 00:10:30,387 in the same way that gasoline prices are a signal 253 00:10:30,387 --> 00:10:32,977 and an impetus, to, say, 254 00:10:32,977 --> 00:10:34,845 the development of electric cars. 255 00:10:34,845 --> 00:10:36,622 Prices are important signals 256 00:10:36,622 --> 00:10:38,208 and we need to pay attention, 257 00:10:38,208 --> 00:10:40,660 but we also need to consider the fact that 258 00:10:40,660 --> 00:10:44,912 although these high prices seem unusual for antibiotics, 259 00:10:44,912 --> 00:10:47,151 they're nothing compared to the price per day 260 00:10:47,151 --> 00:10:48,535 of some cancer drugs, 261 00:10:48,535 --> 00:10:51,905 which might save a patient's life only for a few months or perhaps a year, 262 00:10:51,905 --> 00:10:53,675 whereas antibiotics would potentially 263 00:10:53,675 --> 00:10:55,501 save a patient's life forever. 264 00:10:55,501 --> 00:10:56,820 So this is going to involve 265 00:10:56,820 --> 00:10:58,782 a whole new paradigm shift, 266 00:10:58,782 --> 00:11:00,638 and it's also a scary shift because 267 00:11:00,638 --> 00:11:02,967 in many parts of this country, 268 00:11:02,967 --> 00:11:04,711 in many parts of the world, 269 00:11:04,711 --> 00:11:06,780 the idea of paying 200 dollars 270 00:11:06,780 --> 00:11:09,671 for a day of antibiotic treatment 271 00:11:09,671 --> 00:11:12,213 is simply unimaginable. 272 00:11:12,213 --> 00:11:13,947 So we need to think about that. 273 00:11:13,947 --> 00:11:15,760 Now, there are backstop options, 274 00:11:15,760 --> 00:11:18,436 which is other alternative technologies 275 00:11:18,436 --> 00:11:19,630 that people are working on. 276 00:11:19,630 --> 00:11:22,282 It includes bacteriophages, probiotics, 277 00:11:22,282 --> 00:11:26,330 quorum sensing, synbiotics. 278 00:11:26,330 --> 00:11:29,369 Now, all of these are useful avenues to pursue, 279 00:11:29,369 --> 00:11:31,979 and they will become even more lucrative 280 00:11:31,979 --> 00:11:35,060 when the price of new antibiotics starts going higher, 281 00:11:35,060 --> 00:11:37,957 and we've seen that the market does actually respond, 282 00:11:37,957 --> 00:11:39,965 and the government is now considering 283 00:11:39,965 --> 00:11:43,732 ways of subsidizing new antibiotics and development. 284 00:11:43,732 --> 00:11:45,455 But there are challenges here. 285 00:11:45,455 --> 00:11:47,030 We don't want to just throw money at a problem. 286 00:11:47,030 --> 00:11:48,549 What we want to be able to do 287 00:11:48,549 --> 00:11:50,828 is invest in new antibiotics 288 00:11:50,828 --> 00:11:53,804 in ways that actually encourage 289 00:11:53,804 --> 00:11:56,824 appropriate use and sales of those antibiotics, 290 00:11:56,824 --> 00:11:59,287 and that really is the challenge here. 291 00:11:59,287 --> 00:12:01,616 Now, going back to these technologies, 292 00:12:01,616 --> 00:12:03,979 you all remember the line from that famous 293 00:12:03,979 --> 00:12:06,205 dinosaur film, "Nature will find a way." 294 00:12:06,205 --> 00:12:09,524 So it's not as if these are permanent solutions. 295 00:12:09,524 --> 00:12:13,610 We really have to remember that, whatever the technology might be, 296 00:12:13,610 --> 00:12:16,486 that nature will find some way to work around it. 297 00:12:16,486 --> 00:12:18,557 You might think, well, this is just a problem 298 00:12:18,557 --> 00:12:21,301 just with antibiotics and with bacteria, 299 00:12:21,301 --> 00:12:23,247 but it turns out that we have the exact same 300 00:12:23,247 --> 00:12:25,981 identical problem in many other fields as well, 301 00:12:25,981 --> 00:12:28,933 with multidrug-resistant tuberculosis, 302 00:12:28,933 --> 00:12:32,495 which is a serious problem in India and South Africa. 303 00:12:32,495 --> 00:12:34,282 Thousands of patients are dying because 304 00:12:34,282 --> 00:12:36,116 the second-line drugs are so expensive, 305 00:12:36,116 --> 00:12:38,343 and in some instances, even those don't work 306 00:12:38,343 --> 00:12:40,413 and you have XDR TB. 307 00:12:40,413 --> 00:12:42,224 Viruses are becoming resistant. 308 00:12:42,224 --> 00:12:45,390 Agricultural pests. Malaria parasites. 309 00:12:45,390 --> 00:12:47,173 Right now, much of the world depends on 310 00:12:47,173 --> 00:12:50,870 one drug, artemisinin drugs, 311 00:12:50,870 --> 00:12:52,826 essentially to treat malaria. 312 00:12:52,826 --> 00:12:55,413 Resistance to artemisinin has already emerged, 313 00:12:55,413 --> 00:12:57,767 and if this were to become widespread, 314 00:12:57,767 --> 00:12:59,115 that puts at risk 315 00:12:59,115 --> 00:13:02,006 the single drug that we have to treat malaria around the world 316 00:13:02,006 --> 00:13:05,220 in a way that's currently safe and efficacious. 317 00:13:05,220 --> 00:13:07,018 Mosquitos develop resistance. 318 00:13:07,018 --> 00:13:09,255 If you have kids, you probably know about head lice, 319 00:13:09,255 --> 00:13:10,968 and if you're from New York City, 320 00:13:10,968 --> 00:13:13,701 I understand that the specialty there is bedbugs. 321 00:13:13,701 --> 00:13:15,956 So those are also resistant. 322 00:13:15,956 --> 00:13:18,835 And we have to bring an example from across the pond. 323 00:13:18,835 --> 00:13:21,190 Turns out that rats are also resistant to poisons. 324 00:13:21,190 --> 00:13:23,891 Now, what's common to all of these things is 325 00:13:23,891 --> 00:13:26,597 the idea that we've had these technologies 326 00:13:26,597 --> 00:13:31,218 to control nature only for the last 70, 80 or 100 years 327 00:13:31,218 --> 00:13:34,246 and essentially in a blink, 328 00:13:34,246 --> 00:13:36,797 we have squandered our ability to control, 329 00:13:36,797 --> 00:13:39,288 because we have not recognized 330 00:13:39,288 --> 00:13:42,100 that natural selection and evolution was going to find 331 00:13:42,100 --> 00:13:43,274 a way to get back, 332 00:13:43,274 --> 00:13:45,323 and we need to completely rethink 333 00:13:45,323 --> 00:13:47,666 how we're going to use 334 00:13:47,666 --> 00:13:50,760 measures to control biological organisms, 335 00:13:50,760 --> 00:13:54,224 and rethink how we incentivize 336 00:13:54,224 --> 00:13:56,450 the development, introduction, 337 00:13:56,450 --> 00:13:59,118 in the case of antibiotics prescription, 338 00:13:59,118 --> 00:14:02,890 and use of these valuable resources. 339 00:14:02,890 --> 00:14:05,270 And we really now need to start thinking about them 340 00:14:05,270 --> 00:14:07,228 as natural resources. 341 00:14:07,228 --> 00:14:09,466 And so we stand at a crossroads. 342 00:14:09,466 --> 00:14:12,625 An option is to go through that rethinking 343 00:14:12,625 --> 00:14:14,438 and carefully consider incentives 344 00:14:14,438 --> 00:14:16,992 to change how we do business. 345 00:14:16,992 --> 00:14:19,253 The alternative is 346 00:14:19,253 --> 00:14:22,336 a world in which even a blade of grass 347 00:14:22,336 --> 00:14:24,765 is a potentially lethal weapon. 348 00:14:24,765 --> 00:14:26,565 Thank you. 349 00:14:26,565 --> 00:14:29,300 (Applause)