1 00:00:03,200 --> 00:00:08,480 Speaker 1: Welcome to Prognosis. I'm Laura Carlson. It's stay sixty four. 2 00:00:08,640 --> 00:00:13,280 Speaker 1: Since coronavirus was declared a global pandemic our main story. 3 00:00:14,280 --> 00:00:17,840 Speaker 1: Many governments and companies were caught off guard by the 4 00:00:17,920 --> 00:00:23,439 Speaker 1: devastating spread of the coronavirus. But Gilliad Sciences was different. 5 00:00:24,480 --> 00:00:28,320 Speaker 1: The company had vials of its experimental COVID nineteen drug 6 00:00:28,440 --> 00:00:32,720 Speaker 1: from Desevere ready to put into a clinical trial, and 7 00:00:32,960 --> 00:00:36,400 Speaker 1: it had everything it needed to spring into production when 8 00:00:36,400 --> 00:00:40,720 Speaker 1: the drug was approved for emergency use. How did gill 9 00:00:40,800 --> 00:00:47,000 Speaker 1: Lead anticipate what so many others missed? But first, here's 10 00:00:47,000 --> 00:00:58,080 Speaker 1: what happened today. For the eighth straight week, the number 11 00:00:58,080 --> 00:01:02,480 Speaker 1: of Americans seeking unemployment and totaled in the millions as 12 00:01:02,480 --> 00:01:07,559 Speaker 1: the economy continued to reel from the pandemic. Nearly three 13 00:01:07,640 --> 00:01:11,679 Speaker 1: million people filed initial jobless claims last week, and while 14 00:01:11,760 --> 00:01:14,520 Speaker 1: the number was lower than the week before, it was 15 00:01:14,680 --> 00:01:20,160 Speaker 1: higher than economists had predicted. Economists at Goldman Sachs Group 16 00:01:20,319 --> 00:01:23,880 Speaker 1: revised their forecast for the peak unemployment rate in the US. 17 00:01:24,880 --> 00:01:28,360 Speaker 1: They now say unemployment will hit twenty five percent before 18 00:01:28,400 --> 00:01:33,360 Speaker 1: falling again, when they previously forecast a peak of fifteen percent. 19 00:01:34,800 --> 00:01:38,399 Speaker 1: A serious but rare inflammatory disease in children, may have 20 00:01:38,520 --> 00:01:43,200 Speaker 1: jumped thirtyfold because of coronavirus, according to an Italian study. 21 00:01:44,280 --> 00:01:47,360 Speaker 1: A detailed analysis from Bergamo, the city at the center 22 00:01:47,400 --> 00:01:51,560 Speaker 1: of the Italian COVID nineteen outbreak, found ten cases of 23 00:01:51,600 --> 00:01:57,000 Speaker 1: a COVID linked illness that resembles Kawasaki disease. All told, 24 00:01:57,080 --> 00:02:00,000 Speaker 1: about a hundred such cases have been reported in It'll, 25 00:02:00,440 --> 00:02:05,040 Speaker 1: New York, and England. The cases are challenging the previous 26 00:02:05,160 --> 00:02:11,119 Speaker 1: understanding that the disease rarely made children very sick. Finally, 27 00:02:11,400 --> 00:02:13,840 Speaker 1: Asian countries that were among the first affected by the 28 00:02:13,840 --> 00:02:18,040 Speaker 1: coronavirus and the most successful in quelling its spread are 29 00:02:18,120 --> 00:02:23,000 Speaker 1: now fearing second waves. After containing their outbreaks through measures 30 00:02:23,040 --> 00:02:27,920 Speaker 1: from strict lockdowns to rapid testing regimes, Hong Kong, South Korea, 31 00:02:28,200 --> 00:02:32,280 Speaker 1: and China face resurgences of the disease even as they 32 00:02:32,360 --> 00:02:38,040 Speaker 1: pursue aggressive testing and tracing. It's a reminder that untraceable 33 00:02:38,040 --> 00:02:42,240 Speaker 1: flare ups are likely even after an extended lulling cases. 34 00:02:43,160 --> 00:02:47,079 Speaker 1: Scientists have warned that the disease may never go away 35 00:02:47,160 --> 00:02:50,840 Speaker 1: because it lurks in some people without causing any outward 36 00:02:50,880 --> 00:03:02,520 Speaker 1: signs of sickness and now our main store. The drug 37 00:03:02,760 --> 00:03:06,920 Speaker 1: um Desevere, manufactured by Gilead Sciences, has offered one of 38 00:03:06,919 --> 00:03:09,560 Speaker 1: the fewest lovers of hope about the virus to emerge 39 00:03:09,560 --> 00:03:13,280 Speaker 1: in the last few months. In a clinical trial, ram 40 00:03:13,320 --> 00:03:16,280 Speaker 1: desevere was shown to reduce the recovery time of patients 41 00:03:16,480 --> 00:03:21,520 Speaker 1: who were seriously sick with COVID nineteen. Based on that trial, 42 00:03:21,680 --> 00:03:25,160 Speaker 1: the Federal Food and Drug Administration authorized the drug for 43 00:03:25,200 --> 00:03:30,280 Speaker 1: emergency use. The promising results suggested the virus may be 44 00:03:30,280 --> 00:03:34,040 Speaker 1: beatable and even buoyed the volatile stock market for a 45 00:03:34,120 --> 00:03:38,800 Speaker 1: short while. Gilliad had enough of its drug ready to 46 00:03:38,840 --> 00:03:42,440 Speaker 1: test and start manufacturing it at a larger scale because 47 00:03:42,440 --> 00:03:45,800 Speaker 1: it had started stockpiling not just the drug but its 48 00:03:45,920 --> 00:03:50,120 Speaker 1: ingredients at the first hint there may be a new coronavirus. 49 00:03:51,400 --> 00:03:54,200 Speaker 1: I talked to Robert Langraff about why the company was 50 00:03:54,240 --> 00:03:57,880 Speaker 1: able to act early to prepare for a pandemic when 51 00:03:57,920 --> 00:04:07,120 Speaker 1: so many businesses and institutions did not. So, Bob, how 52 00:04:07,200 --> 00:04:10,800 Speaker 1: good is this drug? Well, the short inswers, we really 53 00:04:10,840 --> 00:04:14,480 Speaker 1: don't know yet. Uh. It got an emergency author's use 54 00:04:14,560 --> 00:04:17,920 Speaker 1: authorization by the Food and Drug Administration based basically on 55 00:04:17,960 --> 00:04:20,919 Speaker 1: a single trial about a thousand patients conducted by the 56 00:04:21,000 --> 00:04:24,360 Speaker 1: National Institute's of Health. According to the preliminary data, kind 57 00:04:24,360 --> 00:04:27,400 Speaker 1: of it helped speed up recovery from the disease on 58 00:04:27,400 --> 00:04:30,520 Speaker 1: the average by about four days. But none of the 59 00:04:30,560 --> 00:04:32,480 Speaker 1: data really has been published. We don't really know any 60 00:04:32,520 --> 00:04:34,320 Speaker 1: of the details of the data. And then there's another 61 00:04:34,400 --> 00:04:38,000 Speaker 1: study from China, much smaller study from China, you know, 62 00:04:38,040 --> 00:04:39,880 Speaker 1: that failed to show a clear effect of the drug, 63 00:04:40,400 --> 00:04:43,320 Speaker 1: also in hospitalized patients. So it's just the data is 64 00:04:43,400 --> 00:04:46,520 Speaker 1: very very preliminary, preliminary, preliminary. Now, you know, doctors really 65 00:04:46,520 --> 00:04:48,640 Speaker 1: haven't seen it has been invented or published, you know, 66 00:04:48,640 --> 00:04:51,039 Speaker 1: in medical journal. It is from you know, the n 67 00:04:51,040 --> 00:04:54,120 Speaker 1: i H with a very good reputation, Tony Fauci's group. 68 00:04:54,120 --> 00:04:56,880 Speaker 1: It you know, ni H help sponsor and conduct this, uh, 69 00:04:56,960 --> 00:04:59,240 Speaker 1: this study. But you know, in terms of the fine 70 00:04:59,320 --> 00:05:01,960 Speaker 1: details of whether there's a safe lives or not, you know, 71 00:05:02,000 --> 00:05:05,000 Speaker 1: we just don't know yet. So you wouldn't necessarily call 72 00:05:05,040 --> 00:05:07,920 Speaker 1: it a cure. No, I definitely would not necessarily call 73 00:05:07,920 --> 00:05:10,719 Speaker 1: it a cure. And uh, in you know discussing it, 74 00:05:10,839 --> 00:05:14,159 Speaker 1: you know, early on when they kind of announced the results, Uh, 75 00:05:14,360 --> 00:05:17,240 Speaker 1: Tony Faucci kind of like in this early trials, early trials, 76 00:05:17,440 --> 00:05:20,320 Speaker 1: you know, a z T which was one of the uh, 77 00:05:20,440 --> 00:05:23,200 Speaker 1: the first HIV drug, and that kind of was you know, 78 00:05:23,320 --> 00:05:26,440 Speaker 1: proved quickly based on early evidence, but then you know, 79 00:05:26,520 --> 00:05:28,720 Speaker 1: later on was you know, supplanted by you know, much 80 00:05:29,279 --> 00:05:32,799 Speaker 1: more potent, stronger drug combinations. The way to think about 81 00:05:32,839 --> 00:05:34,599 Speaker 1: this is kind of, hey, it's a start. You know, 82 00:05:34,640 --> 00:05:37,120 Speaker 1: it's a first, first drug we can use, and there 83 00:05:37,160 --> 00:05:40,520 Speaker 1: We're gonna need many more drugs and vaccines in the future. 84 00:05:41,720 --> 00:05:44,800 Speaker 1: So I'm wondering what are some of the issues with 85 00:05:45,000 --> 00:05:49,039 Speaker 1: producing this drug in in large quantities. It's been likened to, 86 00:05:49,400 --> 00:05:52,839 Speaker 1: you know, making you know, these very specialized complex chemicals 87 00:05:52,839 --> 00:05:55,800 Speaker 1: sort of been liking to bake in a very you know, specialized, 88 00:05:55,839 --> 00:05:58,120 Speaker 1: fancy type of bread. You have to do, uh, you know, 89 00:05:58,200 --> 00:06:00,440 Speaker 1: have to have all the right ingredients on hand in 90 00:06:00,560 --> 00:06:02,560 Speaker 1: large quantities, and if you have to wait for the 91 00:06:02,560 --> 00:06:04,480 Speaker 1: week to grow, so to speak, then you're you know, 92 00:06:04,520 --> 00:06:05,960 Speaker 1: out of luck and you may have to wait a while. 93 00:06:06,200 --> 00:06:07,960 Speaker 1: So you have to have all the ingredients on hand, 94 00:06:08,000 --> 00:06:09,760 Speaker 1: and then you have to execute all the steps in 95 00:06:09,800 --> 00:06:12,720 Speaker 1: the proper sequential order. And for this drug, there's more 96 00:06:12,720 --> 00:06:15,760 Speaker 1: steps chemical steps than usually it's about the twenty five 97 00:06:15,839 --> 00:06:18,880 Speaker 1: different chemical steps depending on how you count. So basically 98 00:06:18,880 --> 00:06:21,120 Speaker 1: at the start of the process, Gilly had Gilly had 99 00:06:21,160 --> 00:06:24,000 Speaker 1: had some supply on hand, but they estimated that to 100 00:06:24,040 --> 00:06:25,839 Speaker 1: make more of it would take you nine to twelve 101 00:06:25,839 --> 00:06:28,640 Speaker 1: months from start to finish just to gather all the 102 00:06:28,680 --> 00:06:31,960 Speaker 1: important raw materials and starting chemicals, then to produce the 103 00:06:32,080 --> 00:06:34,800 Speaker 1: raw drug supply the raw they call it active pharmactical 104 00:06:34,839 --> 00:06:37,599 Speaker 1: sudical ingredients that's just like a bulk white powder. And 105 00:06:37,640 --> 00:06:40,440 Speaker 1: then because this drug is not a pill, it's infused 106 00:06:40,600 --> 00:06:43,839 Speaker 1: into viles, that there's an additional manufacturing step that's need 107 00:06:43,839 --> 00:06:45,640 Speaker 1: and that they have to you have to dissolve it 108 00:06:45,680 --> 00:06:49,120 Speaker 1: and put it into viles under very sterile conditions. H 109 00:06:49,120 --> 00:06:51,520 Speaker 1: And that adds additional complexity to the process that you know, 110 00:06:51,520 --> 00:06:55,159 Speaker 1: a separate manufacturing plants. So all told, there's there's are 111 00:06:55,200 --> 00:06:58,480 Speaker 1: quite a number of steps, and they've been able to 112 00:06:58,520 --> 00:07:01,960 Speaker 1: get it down to about six months now by improving 113 00:07:02,080 --> 00:07:05,440 Speaker 1: the process, but you know, it's still a lengthy, complicated 114 00:07:05,680 --> 00:07:09,360 Speaker 1: process from start to finish. What was the original use 115 00:07:09,440 --> 00:07:12,720 Speaker 1: case for rem desvier? Why was bill yad developing the drug. Yeah, 116 00:07:12,800 --> 00:07:16,360 Speaker 1: so it's very interesting. They put a team together back 117 00:07:16,360 --> 00:07:18,040 Speaker 1: in two thousand and fourteen, you know, looking at some 118 00:07:18,080 --> 00:07:21,360 Speaker 1: of their drugs for emerging viruses. And you know, one 119 00:07:21,400 --> 00:07:23,200 Speaker 1: of the reasons they were looking at that is because 120 00:07:23,280 --> 00:07:26,640 Speaker 1: that was like the big bowler outbreak in West Africa. 121 00:07:26,720 --> 00:07:28,560 Speaker 1: So they put together a team, you know, fifteen or 122 00:07:28,560 --> 00:07:30,960 Speaker 1: twenty people looking at that, you know, what drugs might 123 00:07:30,960 --> 00:07:33,280 Speaker 1: be good for some of these emerging viruses and remdesiviere, 124 00:07:33,320 --> 00:07:35,200 Speaker 1: which is like in the test to work, we worked 125 00:07:35,240 --> 00:07:38,440 Speaker 1: against a lot of viruses kind of jumped to the 126 00:07:38,480 --> 00:07:40,800 Speaker 1: top of the list, but they weren't able to actually 127 00:07:40,880 --> 00:07:43,640 Speaker 1: test it in people and for easy in a bowler 128 00:07:43,680 --> 00:07:45,560 Speaker 1: until kind of the next bowl outbreak I was like 129 00:07:45,560 --> 00:07:49,960 Speaker 1: twos eighteen tousand, nineteen, uh and the congo. Interestingly enough, 130 00:07:50,000 --> 00:07:52,960 Speaker 1: it didn't work well there. They got those results you know, 131 00:07:53,040 --> 00:07:55,960 Speaker 1: last year. But in the process of testing it for 132 00:07:56,000 --> 00:07:58,040 Speaker 1: a ball, I'm looking at it for other things. Some 133 00:07:58,120 --> 00:08:01,200 Speaker 1: researchers at the head is working with at the University 134 00:08:01,200 --> 00:08:04,360 Speaker 1: of North Carolina and Vanderbilt University Medical Center, you know, 135 00:08:04,480 --> 00:08:06,920 Speaker 1: showed that it was really quite effective at least in 136 00:08:06,920 --> 00:08:09,880 Speaker 1: the lab and the test tube type tests against a 137 00:08:09,920 --> 00:08:13,800 Speaker 1: whole variety of coronaviruses. When this COVID nineteam came aroung 138 00:08:14,160 --> 00:08:17,320 Speaker 1: Long deserverre basically immediately became a you know, a prime 139 00:08:17,400 --> 00:08:29,840 Speaker 1: candidate to test as a drug against COVID nineteen. And 140 00:08:30,080 --> 00:08:33,880 Speaker 1: currently how much supply is there of M devere So 141 00:08:34,080 --> 00:08:37,920 Speaker 1: gill Lead is promising to donate the first one point 142 00:08:38,000 --> 00:08:40,880 Speaker 1: five million vials of the drug, and that's you know, 143 00:08:41,040 --> 00:08:44,720 Speaker 1: roughly enough to treat close to two hundred patients, you know, 144 00:08:44,760 --> 00:08:48,320 Speaker 1: under a kind of existing regiments, And the US Department 145 00:08:48,320 --> 00:08:51,319 Speaker 1: of Health and Humanity Services said that about six hundred 146 00:08:51,400 --> 00:08:54,960 Speaker 1: thousand uh of those vials are going to earmarks so 147 00:08:55,040 --> 00:08:57,280 Speaker 1: to speak, for the United States, that maybe that will 148 00:08:57,280 --> 00:08:59,760 Speaker 1: treat about seventy eight thousand patients here. So, you know, 149 00:09:00,120 --> 00:09:03,320 Speaker 1: there's already a lot of debate over you know, which 150 00:09:03,320 --> 00:09:05,600 Speaker 1: hospitals are getting it and why. Now Guilliad is not 151 00:09:05,960 --> 00:09:08,520 Speaker 1: deciding that. The US government and the state governments are 152 00:09:08,520 --> 00:09:11,520 Speaker 1: deciding that, but there's been a lot of confusion over 153 00:09:11,600 --> 00:09:13,360 Speaker 1: you know what what you know, how is it being 154 00:09:13,400 --> 00:09:15,560 Speaker 1: allocated different hospitals, and why do some parts of the 155 00:09:15,559 --> 00:09:18,720 Speaker 1: country have a supply of this now and others don't 156 00:09:18,800 --> 00:09:22,439 Speaker 1: how is that being decided. So Gillian is working very 157 00:09:22,520 --> 00:09:25,920 Speaker 1: hard to increase the supply. One key decision, you know, 158 00:09:25,920 --> 00:09:28,960 Speaker 1: it made early on, was very early in January, as 159 00:09:29,000 --> 00:09:30,480 Speaker 1: soon as it became clearly this thing, you know, it 160 00:09:30,600 --> 00:09:33,360 Speaker 1: was caused by coronavirus and could potentially be significant, they 161 00:09:33,400 --> 00:09:36,600 Speaker 1: put out a big, big order, like all the bulk supplies. 162 00:09:36,840 --> 00:09:38,400 Speaker 1: They need to make a lot more of this drug, 163 00:09:38,880 --> 00:09:40,800 Speaker 1: sort of like the equivalent of you know, all the 164 00:09:40,840 --> 00:09:43,040 Speaker 1: specialized flower and all the specialized eggs and all the 165 00:09:43,040 --> 00:09:45,240 Speaker 1: specialized butter and all the other ingredients that go into 166 00:09:45,240 --> 00:09:47,800 Speaker 1: your baking. They put a big, big order and because 167 00:09:47,800 --> 00:09:49,880 Speaker 1: of that, you know, they're now in a position to start, 168 00:09:49,920 --> 00:09:52,480 Speaker 1: you know, making much bigger supplies of it. And they're 169 00:09:52,520 --> 00:09:55,040 Speaker 1: talking about having by fall enough to treat five hund 170 00:09:55,120 --> 00:09:56,840 Speaker 1: thousand patients, but into the year enough to treat at 171 00:09:56,880 --> 00:09:59,199 Speaker 1: least a million patients. So that's still going to take 172 00:09:59,200 --> 00:10:00,960 Speaker 1: a number of months to role in. So it's still 173 00:10:01,080 --> 00:10:04,160 Speaker 1: right now, it's definitely in short supply. Now you mentioned 174 00:10:04,160 --> 00:10:07,200 Speaker 1: that Gilliat is willing to donate a certain amount of 175 00:10:07,280 --> 00:10:10,560 Speaker 1: the drug initially, but eventually they are going to have 176 00:10:10,600 --> 00:10:13,400 Speaker 1: to charge for the drug. Is there any estimate of 177 00:10:13,440 --> 00:10:16,319 Speaker 1: how much this drug is going to cost? Now Guilliad 178 00:10:16,400 --> 00:10:17,960 Speaker 1: is not talking about it, and so it's too early 179 00:10:18,000 --> 00:10:20,400 Speaker 1: to talk about that. But uh, Wall Street, you know, 180 00:10:20,559 --> 00:10:22,800 Speaker 1: is talking about that, and they're they're figuring, you know, 181 00:10:22,840 --> 00:10:25,120 Speaker 1: it might be around three or four or five thousand 182 00:10:25,160 --> 00:10:28,400 Speaker 1: dollars per course of treatment, you know, at least for 183 00:10:28,600 --> 00:10:32,559 Speaker 1: you know, wealthier countries like the United States and Europe. So, 184 00:10:32,600 --> 00:10:35,560 Speaker 1: as you mentioned, REM descivite is not a cure for 185 00:10:35,600 --> 00:10:40,000 Speaker 1: COVID nineteen. And so in your estimate or your recommendation, 186 00:10:40,720 --> 00:10:43,360 Speaker 1: what are some other drugs or vaccines? What more research 187 00:10:43,440 --> 00:10:46,680 Speaker 1: is needed to be done to maybe compliment REM decivere 188 00:10:46,840 --> 00:10:50,360 Speaker 1: or maybe to actually find a cure for COVID nineteen. Well, 189 00:10:50,480 --> 00:10:54,360 Speaker 1: there's just an immense I call almost a fire hose 190 00:10:54,400 --> 00:10:57,440 Speaker 1: of drugs and trials and vaccines being tested. Now there's 191 00:10:57,440 --> 00:10:59,640 Speaker 1: like literally more more than a hundred drugs and hundred 192 00:10:59,720 --> 00:11:03,440 Speaker 1: vaccine means being either tested and trials are you know, 193 00:11:03,520 --> 00:11:07,120 Speaker 1: explored in preclinical trials. Um one approach on the drug 194 00:11:07,200 --> 00:11:09,600 Speaker 1: front that a number of companies are working on is 195 00:11:09,640 --> 00:11:13,680 Speaker 1: called monocle antibodies. This is antibodies would be directly against 196 00:11:13,720 --> 00:11:17,880 Speaker 1: COVID nineteen. Companies working on that include every General and 197 00:11:17,880 --> 00:11:21,880 Speaker 1: Pharmaceuticals which made a successful treatment for a bowl are 198 00:11:21,960 --> 00:11:25,480 Speaker 1: using the same type of approach, and so monoclon antibodies 199 00:11:25,520 --> 00:11:29,000 Speaker 1: they be essentially when when you when you get get 200 00:11:29,000 --> 00:11:32,079 Speaker 1: the virus and the coverent from it, you have antibodies 201 00:11:32,080 --> 00:11:34,959 Speaker 1: to that virus that basically block the spike protein of 202 00:11:35,040 --> 00:11:37,720 Speaker 1: the virus, which is how the virus gets into cells. 203 00:11:37,840 --> 00:11:41,680 Speaker 1: And so what these artificially made monoclon antibodies would be 204 00:11:41,720 --> 00:11:46,320 Speaker 1: would essentially duplicate the natural process of creating antibodies, and 205 00:11:46,480 --> 00:11:49,240 Speaker 1: except they pick out some antibodies and make you know, 206 00:11:49,400 --> 00:11:51,960 Speaker 1: large quantities of them the factory and just inject them 207 00:11:52,160 --> 00:11:55,400 Speaker 1: directly into you. And you could use these monoclon antibodies 208 00:11:55,400 --> 00:11:57,600 Speaker 1: two different ways. They could be used as a preventative 209 00:11:57,640 --> 00:11:59,800 Speaker 1: treatment for people at very high risks, such as like 210 00:12:00,040 --> 00:12:03,000 Speaker 1: versus doctor's first responders, and they could also be used 211 00:12:03,040 --> 00:12:06,200 Speaker 1: to treat very sick patients UH with the disease and 212 00:12:06,760 --> 00:12:09,760 Speaker 1: re General has talked about starting clinical trials with that 213 00:12:09,880 --> 00:12:12,760 Speaker 1: approach in June, and there are several other drug companies 214 00:12:12,800 --> 00:12:15,600 Speaker 1: also working on similar approaches. And these antibodes are viewed 215 00:12:15,600 --> 00:12:19,439 Speaker 1: as one of the most promising treatment approaches or proven nineteen. 216 00:12:28,640 --> 00:12:32,880 Speaker 1: That was Bloomberg's Robert Langrath. His reporting on gile lead 217 00:12:33,120 --> 00:12:35,880 Speaker 1: is the cover story of this week's issue of Bloomberg 218 00:12:35,920 --> 00:12:40,000 Speaker 1: Business Week. And that's our show today. For coverage of 219 00:12:40,000 --> 00:12:44,160 Speaker 1: the outbreak from bureaus around the world, visit Bloomberg dot 220 00:12:44,200 --> 00:12:49,000 Speaker 1: com slash coronavirus and if you like the show, please 221 00:12:49,080 --> 00:12:51,720 Speaker 1: leave us a review and a rating on Apple Podcasts 222 00:12:51,800 --> 00:12:55,200 Speaker 1: or Spotify. It's the best way to help more listeners 223 00:12:55,360 --> 00:12:59,679 Speaker 1: find our global reporting. The Prognosis Daily edition is of 224 00:12:59,840 --> 00:13:03,320 Speaker 1: to Me Laura Carlson. The show was produced by Me 225 00:13:03,720 --> 00:13:09,640 Speaker 1: Topher foreheads, Jordan Gaspore and Magnus Hendrickson. Today's main story 226 00:13:09,880 --> 00:13:14,240 Speaker 1: was reported by Robert Langrith. Original music by Leo Sidrin. 227 00:13:14,840 --> 00:13:19,640 Speaker 1: Our editors are Francesca Levi and Rick Shine. Francesca Levi 228 00:13:20,000 --> 00:13:23,200 Speaker 1: is Bloomberg's head of Podcasts. Thanks for listening.