1 00:00:00,782 --> 00:00:04,160 The first patient to be treated with an antibiotic 2 00:00:04,160 --> 00:00:06,403 was a policeman from Oxford. 3 00:00:06,403 --> 00:00:07,900 On his day off from work, 4 00:00:07,900 --> 00:00:11,533 he was scratched by a rose thorn while working in the garden. 5 00:00:11,533 --> 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 --> 00:00:23,057 that they had to take it out, 10 00:00:23,057 --> 00:00:26,038 and by February of 1941, 11 00:00:26,038 --> 00:00:28,827 this poor man was on the verge of dying. 12 00:00:28,827 --> 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 --> 00:00:35,701 a small team of doctors 15 00:00:35,701 --> 00:00:37,410 led by a Dr. Howard Florey 16 00:00:37,410 --> 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 --> 00:00:52,720 and indeed no one even knew if the drug would work, 22 00:00:52,720 --> 00:00:56,072 if it was full of impurities that would kill the patient, 23 00:00:56,072 --> 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 --> 00:01:18,060 His fever went down, his appetite came back. 31 00:01:18,060 --> 00:01:20,613 Secondly, he was doing much better. 32 00:01:20,613 --> 00:01:22,391 He was starting to run out of penicillin, 33 00:01:22,391 --> 00:01:24,213 so what they would do was run with his urine 34 00:01:24,213 --> 00:01:26,463 across the road to re-synthesize the penicillin 35 00:01:26,463 --> 00:01:28,768 from his urine and give it back to him, 36 00:01:28,768 --> 00:01:30,186 and that worked. 37 00:01:30,186 --> 00:01:32,706 Day four, well on the way to recovery. 38 00:01:32,706 --> 00:01:34,494 This was a miracle. 39 00:01:34,494 --> 00:01:38,037 Day five, they ran out of penicillin, 40 00:01:38,037 --> 00:01:40,637 and the poor man died. 41 00:01:40,637 --> 00:01:43,089 So that story didn't end that well, 42 00:01:43,089 --> 00:01:47,610 but fortunately for millions of other people 43 00:01:47,610 --> 00:01:49,376 like this child who was treated again 44 00:01:49,376 --> 00:01:51,221 in the early 1940s, 45 00:01:51,221 --> 00:01:54,056 who was again dying of abscesses, 46 00:01:54,056 --> 00:01:56,890 and within just six days, you can see, 47 00:01:56,890 --> 00:02:00,243 recovered thanks to this wonder drug penicillin. 48 00:02:00,243 --> 00:02:02,201 Millions have lived, 49 00:02:02,201 --> 00:02:06,115 and global health has been transformed. 50 00:02:06,115 --> 00:02:08,578 Now, antibiotics have been used 51 00:02:08,578 --> 00:02:11,705 for patients like this, 52 00:02:11,705 --> 00:02:13,842 but they've also been used rather frivolously 53 00:02:13,842 --> 00:02:15,586 in some instances 54 00:02:15,586 --> 00:02:17,949 for treating someone with just a cold or the flu 55 00:02:17,949 --> 00:02:20,423 which they might not have responded to an antibiotic, 56 00:02:20,423 --> 00:02:24,461 and they've also been used in large quantities 57 00:02:24,461 --> 00:02:27,803 sub-therapeutically, which means in small concentrations, 58 00:02:27,803 --> 00:02:30,986 to make chicken and hogs grow faster. 59 00:02:30,986 --> 00:02:34,552 Just to save a few pennies on the price of meat, 60 00:02:34,552 --> 00:02:37,172 we've spent a lot of antibiotics on animals, 61 00:02:37,172 --> 00:02:39,614 not for treatment, not for sick animals, 62 00:02:39,614 --> 00:02:42,730 but primarily for growth promotion. 63 00:02:42,730 --> 00:02:45,587 Now, what did that lead us to? 64 00:02:45,587 --> 00:02:48,298 Basically, the massive use of antibiotics 65 00:02:48,298 --> 00:02:50,143 around the world 66 00:02:50,143 --> 00:02:53,697 has imposed such large selection pressure on bacteria 67 00:02:53,697 --> 00:02:56,059 that resistance is now a problem, 68 00:02:56,059 --> 00:02:58,005 because we've now selected for just 69 00:02:58,005 --> 00:02:59,985 the resistant bacteria. 70 00:02:59,985 --> 00:03:03,315 And I'm sure you've all read about this in the newspapers, 71 00:03:03,315 --> 00:03:04,819 you've seen this in every magazine 72 00:03:04,819 --> 00:03:06,528 that you come across, 73 00:03:06,528 --> 00:03:08,328 but I really want you to appreciate 74 00:03:08,328 --> 00:03:10,499 the significance of this problem. 75 00:03:10,499 --> 00:03:11,950 This is serious. 76 00:03:11,950 --> 00:03:13,806 The next slide I'm about to show you 77 00:03:13,806 --> 00:03:17,035 is of carbapenum resistance in acinetobacter. 78 00:03:17,035 --> 00:03:19,284 Acinetobacter is a nasty hospital bug, 79 00:03:19,284 --> 00:03:20,747 and carbapenum is pretty much 80 00:03:20,747 --> 00:03:22,265 the strongest class of antibiotics 81 00:03:22,265 --> 00:03:25,111 that we can throw at this bug. 82 00:03:25,111 --> 00:03:28,059 And you can see in 1999, 83 00:03:28,059 --> 00:03:30,185 this is the pattern of resistance, 84 00:03:30,185 --> 00:03:33,638 mostly under about 10 percent across the United States. 85 00:03:33,638 --> 00:03:37,215 Now watch what happens when we play the video. 86 00:03:46,461 --> 00:03:48,516 So I don't know where you live, 87 00:03:48,516 --> 00:03:51,418 but wherever it is, it certainly is a lot worse now 88 00:03:51,418 --> 00:03:54,275 than it was in 1999, 89 00:03:54,275 --> 00:03:57,886 and that is the problem of antibiotic resistance. 90 00:03:57,886 --> 00:03:59,573 It's a global issue 91 00:03:59,573 --> 00:04:02,511 affecting both rich and poor countries, 92 00:04:02,511 --> 00:04:04,242 and at the heart of it, you might say, well, 93 00:04:04,242 --> 00:04:06,210 isn't this really just a medical issue? 94 00:04:06,210 --> 00:04:08,671 If we taught doctors of how not to use antibiotics as much, 95 00:04:08,671 --> 00:04:11,676 if we taught patients how not to demand antibiotics, 96 00:04:11,676 --> 00:04:13,791 perhaps this really wouldn't be an issue, 97 00:04:13,791 --> 00:04:15,580 and maybe the pharmaceutical companies 98 00:04:15,580 --> 00:04:17,335 should be working harder to develop 99 00:04:17,335 --> 00:04:19,101 more antibiotics. 100 00:04:19,101 --> 00:04:20,720 Now, it turns out that there's something 101 00:04:20,720 --> 00:04:22,622 fundamental about antibiotics 102 00:04:22,622 --> 00:04:24,253 which make it different from other drugs, 103 00:04:24,253 --> 00:04:25,874 which is that if I misuse antibiotics 104 00:04:25,874 --> 00:04:27,701 or I use antibiotics, 105 00:04:27,701 --> 00:04:31,291 not only am I affected but others are affected as well, 106 00:04:31,291 --> 00:04:33,629 in the same as if I choose to drive to work 107 00:04:33,629 --> 00:04:36,498 or take a plane to go somewhere, 108 00:04:36,498 --> 00:04:38,242 that the costs I impose on others 109 00:04:38,242 --> 00:04:40,682 through global climate change go everywhere, 110 00:04:40,682 --> 00:04:43,585 and I don't necessarily take these costs into consideration. 111 00:04:43,585 --> 00:04:45,294 This is what economists might call 112 00:04:45,294 --> 00:04:47,039 a problem of the commons, 113 00:04:47,039 --> 00:04:48,714 and the problem of the commons is exactly 114 00:04:48,714 --> 00:04:50,739 what we face in the case of antibiotics as well; 115 00:04:50,739 --> 00:04:52,889 that we don't consider, 116 00:04:52,889 --> 00:04:55,891 and we, including individuals, patients, 117 00:04:55,891 --> 00:04:59,097 hospitals, entire health systems, 118 00:04:59,097 --> 00:05:01,538 do not consider the costs that they impose on others 119 00:05:01,538 --> 00:05:04,114 by the way antibiotics are actually used. 120 00:05:04,114 --> 00:05:05,959 Now, that's a problem that's similar 121 00:05:05,959 --> 00:05:08,281 to another area that we all know about, 122 00:05:08,281 --> 00:05:10,075 which is of fuel use, and energy, 123 00:05:10,075 --> 00:05:11,369 and of course energy use 124 00:05:11,369 --> 00:05:14,451 both depletes energy as well as 125 00:05:14,451 --> 00:05:18,103 leads to local pollution and climate change. 126 00:05:18,103 --> 00:05:19,873 And typically, in the case of energy, 127 00:05:19,873 --> 00:05:21,831 there are two ways in which you can deal with the problem. 128 00:05:21,831 --> 00:05:25,756 One is, we can make better use of the oil that we have, 129 00:05:25,756 --> 00:05:27,691 and that's analogous to making better use 130 00:05:27,691 --> 00:05:29,549 of existing antibiotics, 131 00:05:29,549 --> 00:05:31,280 and we can do this in a number of ways 132 00:05:31,280 --> 00:05:33,091 that we'll talk about in a second, 133 00:05:33,091 --> 00:05:36,847 but the other option is the "drill, baby, drill" option, 134 00:05:36,847 --> 00:05:38,918 which in the case of antibiotics 135 00:05:38,918 --> 00:05:41,044 is to go find new antibiotics. 136 00:05:41,044 --> 00:05:43,001 Now, these are not separate. 137 00:05:43,001 --> 00:05:46,522 They're related, because if we invest heavily 138 00:05:46,522 --> 00:05:48,806 in new oil wells, 139 00:05:48,806 --> 00:05:51,760 we reduce the incentives for conservation of oil 140 00:05:51,760 --> 00:05:54,126 in the same way that's going to happen for antibiotics. 141 00:05:54,126 --> 00:05:56,454 The reverse is also going to happen, which is that 142 00:05:56,454 --> 00:05:58,792 if we use our antibiotics appropriately, 143 00:05:58,792 --> 00:06:01,573 we don't necessarily have to make the investments 144 00:06:01,573 --> 00:06:03,980 in new drug development. 145 00:06:03,980 --> 00:06:06,466 And if you thought that these two were entirely, 146 00:06:06,466 --> 00:06:08,288 fully balanced between these two options, 147 00:06:08,288 --> 00:06:10,471 you might consider the fact that 148 00:06:10,471 --> 00:06:12,743 this is really a game that we're playing. 149 00:06:12,743 --> 00:06:15,184 The game is really one of coevolution, 150 00:06:15,184 --> 00:06:18,116 and coevolution is, in this particular picture, 151 00:06:18,116 --> 00:06:20,472 between cheetahs and gazelles. 152 00:06:20,472 --> 00:06:22,025 Cheetahs have evolved to run faster, 153 00:06:22,025 --> 00:06:23,667 because if they didn't run faster, 154 00:06:23,667 --> 00:06:25,613 they wouldn't get any lunch. 155 00:06:25,613 --> 00:06:28,065 Gazelles have evolved to run faster because 156 00:06:28,065 --> 00:06:31,509 if they don't run faster, they would be lunch. 157 00:06:31,509 --> 00:06:34,395 Now, this is the game we're playing against the bacteria, 158 00:06:34,395 --> 00:06:36,452 except we're not the cheetahs, 159 00:06:36,452 --> 00:06:38,219 we're the gazelles, 160 00:06:38,219 --> 00:06:40,716 and the bacteria would, 161 00:06:40,716 --> 00:06:42,549 just in the course of this little talk, 162 00:06:42,549 --> 00:06:44,315 would have had kids and grandkids 163 00:06:44,315 --> 00:06:46,059 and figured out how to be resistant 164 00:06:46,059 --> 00:06:49,164 just by selection and trial and error, 165 00:06:49,164 --> 00:06:50,986 trying it over and over again. 166 00:06:50,986 --> 00:06:54,518 Whereas how do we stay ahead of the bacteria? 167 00:06:54,518 --> 00:06:56,802 We have drug discovery processes, 168 00:06:56,802 --> 00:06:58,422 screening molecules, 169 00:06:58,422 --> 00:07:00,042 we have clinical trials, 170 00:07:00,042 --> 00:07:02,268 and then, when we think we have a drug, 171 00:07:02,268 --> 00:07:05,823 then we have the FDA regulatory process. 172 00:07:05,823 --> 00:07:08,231 And once we go through all of that, 173 00:07:08,231 --> 00:07:10,266 then we try to stay one step ahead 174 00:07:10,266 --> 00:07:12,932 of the bacteria. 175 00:07:12,932 --> 00:07:15,339 Now, this is clearly not a game that can be sustained, 176 00:07:15,339 --> 00:07:16,476 or one that we can win 177 00:07:16,476 --> 00:07:18,703 by simply innovating to stay ahead. 178 00:07:18,703 --> 00:07:21,988 We've got to slow the pace of coevolution down, 179 00:07:21,988 --> 00:07:24,440 and there are ideas that we can borrow from energy 180 00:07:24,440 --> 00:07:27,094 that are helpful in thinking about 181 00:07:27,094 --> 00:07:28,827 how we might want to do this in the case 182 00:07:28,827 --> 00:07:30,593 of antibiotics as well. 183 00:07:30,593 --> 00:07:32,393 Now, if you think about how we deal with 184 00:07:32,393 --> 00:07:34,136 energy pricing, for instance, 185 00:07:34,136 --> 00:07:35,965 we consider emissions taxes, 186 00:07:35,965 --> 00:07:38,249 which means we're imposing the costs of pollution 187 00:07:38,249 --> 00:07:41,050 on people who actually use that energy. 188 00:07:41,050 --> 00:07:44,009 We might consider doing that for antibiotics as well, 189 00:07:44,009 --> 00:07:46,911 and perhaps that would make sure that antibiotics 190 00:07:46,911 --> 00:07:49,172 actually get used appropriately. 191 00:07:49,172 --> 00:07:51,062 There are clean energy subsidies, 192 00:07:51,062 --> 00:07:54,425 which are to switch to fuels which don't pollute as much 193 00:07:54,425 --> 00:07:57,001 or perhaps don't need fossil fuels. 194 00:07:57,001 --> 00:08:00,046 Now, the analogy here is perhaps we need 195 00:08:00,046 --> 00:08:02,345 to move away from using antibiotics, 196 00:08:02,345 --> 00:08:04,099 and if you think about it, 197 00:08:04,099 --> 00:08:06,236 what are good substitutes for antibiotics? 198 00:08:06,236 --> 00:08:08,002 Well, turns out that anything that reduces 199 00:08:08,002 --> 00:08:10,343 the need for the antibiotic would really work, 200 00:08:10,343 --> 00:08:13,975 so that could include improving hospital infection control 201 00:08:13,975 --> 00:08:16,090 or vaccinating people, 202 00:08:16,090 --> 00:08:18,677 particularly against the seasonal influenza, 203 00:08:18,677 --> 00:08:21,208 and the seasonal flu is probably 204 00:08:21,208 --> 00:08:24,212 the biggest driver of antibiotic use, 205 00:08:24,212 --> 00:08:27,441 both in this country as well as in many other countries, 206 00:08:27,441 --> 00:08:29,151 and that would really help. 207 00:08:29,151 --> 00:08:31,615 A third option might include something like tradeable permits, 208 00:08:31,615 --> 00:08:33,494 which are, we actually, 209 00:08:33,494 --> 00:08:37,160 and these seem like faraway scenarios, 210 00:08:37,160 --> 00:08:39,927 but if you consider the fact that we might not 211 00:08:39,927 --> 00:08:44,078 have antibiotics for many people who have infections, 212 00:08:44,078 --> 00:08:45,777 we might consider the fact that we might 213 00:08:45,777 --> 00:08:47,858 want to allocate who actually gets to use 214 00:08:47,858 --> 00:08:50,782 some of these antibiotics over others, 215 00:08:50,782 --> 00:08:53,898 and some of these might have to be on the basis of clinical need, 216 00:08:53,898 --> 00:08:55,833 but also on the basis of pricing. 217 00:08:55,833 --> 00:08:57,993 And certainly consumer education works. 218 00:08:57,993 --> 00:09:00,344 Very often, people overuse antibiotics 219 00:09:00,344 --> 00:09:02,211 or prescribe too much without necessarily 220 00:09:02,211 --> 00:09:04,737 knowing that they do so, 221 00:09:04,737 --> 00:09:06,328 and feedback mechanisms 222 00:09:06,328 --> 00:09:07,960 have been found to be useful, 223 00:09:07,960 --> 00:09:09,769 both on energy — 224 00:09:09,769 --> 00:09:11,509 When you tell someone that they're using 225 00:09:11,509 --> 00:09:13,156 a lot of energy during peak hour, 226 00:09:13,156 --> 00:09:14,416 they tend to cut back, 227 00:09:14,416 --> 00:09:16,183 and the same sort of example has been performed 228 00:09:16,183 --> 00:09:17,993 even in the case of antibiotics. 229 00:09:17,993 --> 00:09:19,974 A hospital in St. Louis basically would put up 230 00:09:19,974 --> 00:09:24,416 on a chart the names of surgeons 231 00:09:24,416 --> 00:09:26,385 in the ordering of how much antibiotics they'd used 232 00:09:26,385 --> 00:09:28,549 in the previous month, 233 00:09:28,549 --> 00:09:30,671 and this was purely an informational feedback, 234 00:09:30,671 --> 00:09:32,234 there was no shaming, 235 00:09:32,234 --> 00:09:33,989 but essentially that provided some information back 236 00:09:33,989 --> 00:09:35,943 to surgeons that maybe they could rethink 237 00:09:35,943 --> 00:09:38,612 how they were using antibiotics. 238 00:09:38,612 --> 00:09:40,536 Now, there's a lot that can be done 239 00:09:40,536 --> 00:09:42,335 on the supply side as well. 240 00:09:42,335 --> 00:09:44,112 If you look at the price of penicillin, 241 00:09:44,112 --> 00:09:45,763 the cost per day is about 10 cents. 242 00:09:45,763 --> 00:09:47,521 It's a fairly cheap drug. 243 00:09:47,521 --> 00:09:49,658 If you take drugs that have been introduced since then 244 00:09:49,658 --> 00:09:52,302 — linezolid or daptomycin — 245 00:09:52,302 --> 00:09:54,180 those are significantly more expensive, 246 00:09:54,180 --> 00:09:56,461 so to a world that has been used 247 00:09:56,461 --> 00:09:59,633 to paying 10 cents a day for antibiotics, 248 00:09:59,633 --> 00:10:02,163 the idea of paying 180 dollars per day 249 00:10:02,163 --> 00:10:04,068 seems like a lot. 250 00:10:04,068 --> 00:10:05,857 But what is that really telling us? 251 00:10:05,857 --> 00:10:07,682 That price is telling us 252 00:10:07,682 --> 00:10:09,580 that we should no longer 253 00:10:09,580 --> 00:10:13,697 take cheap, effective antibiotics as a given 254 00:10:13,697 --> 00:10:15,464 into the foreseeable future, 255 00:10:15,464 --> 00:10:17,994 and that price is a signal to us 256 00:10:17,994 --> 00:10:19,603 that perhaps we need to be paying 257 00:10:19,603 --> 00:10:22,156 much more attention to conservation. 258 00:10:22,156 --> 00:10:25,047 That price is also a signal 259 00:10:25,047 --> 00:10:27,735 that maybe we need to start looking at other technologies, 260 00:10:27,735 --> 00:10:30,207 in the same way that gasoline prices are a signal 261 00:10:30,207 --> 00:10:32,977 and an impetus, to, say, 262 00:10:32,977 --> 00:10:34,845 the development of electric cars. 263 00:10:34,845 --> 00:10:36,622 Prices are important signals 264 00:10:36,622 --> 00:10:38,388 that we need to pay attention to, 265 00:10:38,388 --> 00:10:40,660 but we also need to consider the fact that 266 00:10:40,660 --> 00:10:44,912 although these high prices seem unusual for antibiotics, 267 00:10:44,912 --> 00:10:47,151 they're nothing compared to the price per day 268 00:10:47,151 --> 00:10:48,535 of some cancer drugs, 269 00:10:48,535 --> 00:10:51,955 which might save a patient's life only for a few months or perhaps a year, 270 00:10:51,955 --> 00:10:53,675 whereas antibiotics would potentially 271 00:10:53,675 --> 00:10:55,621 save a patient's life forever. 272 00:10:55,621 --> 00:10:56,960 So this is going to involve 273 00:10:56,960 --> 00:10:58,782 a whole new paradigm shift, 274 00:10:58,782 --> 00:11:00,638 and it's also a scary shift because 275 00:11:00,638 --> 00:11:02,967 in many parts of this country, 276 00:11:02,967 --> 00:11:04,711 in many parts of the world, 277 00:11:04,711 --> 00:11:06,780 the idea of paying 200 dollars 278 00:11:06,780 --> 00:11:09,671 for a day of antibiotic treatment 279 00:11:09,671 --> 00:11:12,213 is simply unimaginable. 280 00:11:12,213 --> 00:11:13,947 So we need to think about that. 281 00:11:13,947 --> 00:11:15,760 Now, there are backstop options, 282 00:11:15,760 --> 00:11:18,436 which is other alternative technologies 283 00:11:18,436 --> 00:11:20,022 that people are working on. 284 00:11:20,022 --> 00:11:22,282 It includes bacteriophages, probiotics, 285 00:11:22,282 --> 00:11:26,084 quorum sensing, synbiotics. 286 00:11:26,084 --> 00:11:29,369 Now, all of these are useful avenues to pursue, 287 00:11:29,369 --> 00:11:31,259 and they will become even more lucrative 288 00:11:31,259 --> 00:11:35,095 when the price of new antibiotics starts going higher, 289 00:11:35,095 --> 00:11:37,987 and we've seen that the market does actually respond, 290 00:11:37,987 --> 00:11:40,145 and the government is now considering 291 00:11:40,145 --> 00:11:43,802 ways of subsidizing new antibiotics and development. 292 00:11:43,802 --> 00:11:45,455 But there are challenges here. 293 00:11:45,455 --> 00:11:47,031 We don't want to just throw money at a problem. 294 00:11:47,031 --> 00:11:48,669 What we want to be able to do 295 00:11:48,669 --> 00:11:50,468 is invest in new antibiotics 296 00:11:50,468 --> 00:11:53,944 in ways that actually encourage 297 00:11:53,944 --> 00:11:56,824 appropriate use and sales of those antibiotics, 298 00:11:56,824 --> 00:11:59,287 and that really is the challenge here. 299 00:11:59,287 --> 00:12:01,616 Now, going back to these technologies, 300 00:12:01,616 --> 00:12:03,979 you all remember the line from that famous 301 00:12:03,979 --> 00:12:06,205 dinosaur film, "Nature will find a way." 302 00:12:06,205 --> 00:12:09,524 So it's not as if these are permanent solutions. 303 00:12:09,524 --> 00:12:12,134 We really have to remember that, 304 00:12:12,134 --> 00:12:14,012 whatever the technology might be, 305 00:12:14,012 --> 00:12:16,836 that nature will find some way to work around it. 306 00:12:16,836 --> 00:12:18,557 You might, well, this is just a problem 307 00:12:18,557 --> 00:12:21,301 just with antibiotics and with bacteria, 308 00:12:21,301 --> 00:12:23,247 but it turns out that we have the exact same 309 00:12:23,247 --> 00:12:25,981 identical problem in many other fields as well, 310 00:12:25,981 --> 00:12:28,933 with multi-drug resistant tuberculosis, 311 00:12:28,933 --> 00:12:32,495 which is a serious problem in India and South Africa. 312 00:12:32,495 --> 00:12:34,282 Thousands of patients are dying because 313 00:12:34,282 --> 00:12:36,116 the second line drugs are so expensive, 314 00:12:36,116 --> 00:12:38,343 and in some instances, even those don't work 315 00:12:38,343 --> 00:12:40,413 and you have XDR TB. 316 00:12:40,413 --> 00:12:42,224 Viruses are become resistant. 317 00:12:42,224 --> 00:12:45,063 Agricultural pests. Malaria parasites. 318 00:12:45,063 --> 00:12:47,173 Right now, much of the world depends on 319 00:12:47,173 --> 00:12:51,072 one drug, artemisinin drugs, 320 00:12:51,072 --> 00:12:52,826 essentially to treat malaria. 321 00:12:52,826 --> 00:12:55,413 Resistance to artemisinin has already emerged, 322 00:12:55,413 --> 00:12:57,767 and if this were to become widespread, 323 00:12:57,767 --> 00:12:59,485 that puts at risk 324 00:12:59,485 --> 00:13:01,116 the single drug that we have to treat malaria 325 00:13:01,116 --> 00:13:02,918 around the world 326 00:13:02,918 --> 00:13:05,094 in a way that's currently safe an efficacious. 327 00:13:05,094 --> 00:13:07,238 Mosquitoes develop resistance. 328 00:13:07,238 --> 00:13:09,195 If you have kids, you probably know about head lice, 329 00:13:09,195 --> 00:13:12,233 and if you're from New York City, I understand that 330 00:13:12,233 --> 00:13:13,999 the specialty there is bedbugs. 331 00:13:13,999 --> 00:13:15,956 So those are also resistant. 332 00:13:15,956 --> 00:13:18,835 And we have to bring an example from across the pond. 333 00:13:18,835 --> 00:13:21,074 Turns out that rats are also resistant to poisons. 334 00:13:21,074 --> 00:13:23,751 Now, what's common to all of these things is 335 00:13:23,751 --> 00:13:26,597 the idea that we've had these technologies 336 00:13:26,597 --> 00:13:30,278 to control nature only for the last 70, 80, 337 00:13:30,278 --> 00:13:31,963 or a hundred years, 338 00:13:31,963 --> 00:13:34,246 and essentially in a blink, 339 00:13:34,246 --> 00:13:37,137 we have squandered our ability to control, 340 00:13:37,137 --> 00:13:39,288 because we have not recognized 341 00:13:39,288 --> 00:13:42,001 that natural selection and evolution was going to find 342 00:13:42,001 --> 00:13:43,684 a way to get back, 343 00:13:43,684 --> 00:13:45,743 and we need to completely rethink 344 00:13:45,743 --> 00:13:47,666 how we're going to use 345 00:13:47,666 --> 00:13:50,760 measures to control biological organisms, 346 00:13:50,760 --> 00:13:54,224 and rethink how we incentivize 347 00:13:54,224 --> 00:13:56,710 the development, introduction, 348 00:13:56,710 --> 00:13:59,118 in the case of antibiotics prescription, 349 00:13:59,118 --> 00:14:03,370 and use of these valuable resources. 350 00:14:03,370 --> 00:14:05,270 And we really now need to start thinking about them 351 00:14:05,270 --> 00:14:07,228 as natural resources. 352 00:14:07,228 --> 00:14:09,466 And so that's, we stand at a crossroads. 353 00:14:09,466 --> 00:14:12,625 An option is to go through that rethinking 354 00:14:12,625 --> 00:14:14,438 and carefully consider incentives 355 00:14:14,438 --> 00:14:16,992 to change how we do business. 356 00:14:16,992 --> 00:14:19,253 The alternative is 357 00:14:19,253 --> 00:14:22,436 a world in which even a blade of grass 358 00:14:22,436 --> 00:14:24,765 is a potentially lethal weapon. 359 00:14:24,765 --> 00:14:26,565 Thank you. 360 00:14:26,565 --> 00:14:29,030 (Applause)