1 00:00:02,520 --> 00:00:12,400 Speaker 1: Bloomberg Audio Studios, podcasts, radio news Time Now for some 2 00:00:12,440 --> 00:00:12,960 Speaker 1: top calls. 3 00:00:12,960 --> 00:00:15,960 Speaker 2: The analyst actions that we are following. First up, Jeffries 4 00:00:16,000 --> 00:00:19,079 Speaker 2: cuts Deer to a Cell, saying the stock already reflects a. 5 00:00:19,079 --> 00:00:20,759 Speaker 1: Full recovery and farm demand. 6 00:00:21,040 --> 00:00:24,239 Speaker 2: The firm also warned that higher costs, trade uncertainty, and 7 00:00:24,320 --> 00:00:27,680 Speaker 2: heavy debt could hamper the company's recovery. Next up, well 8 00:00:27,680 --> 00:00:30,680 Speaker 2: as Fargo, they upgrade Alphabet Dubui, calling it an AI 9 00:00:30,760 --> 00:00:34,560 Speaker 2: winner with strengths and consumer data distribution and compute capacity. 10 00:00:34,600 --> 00:00:37,279 Speaker 2: Shares only up two tens and percent, And finally, Bank 11 00:00:37,320 --> 00:00:40,839 Speaker 2: of America downgrades General Mills, saying its recovery story is 12 00:00:40,880 --> 00:00:41,760 Speaker 2: not playing out. 13 00:00:42,040 --> 00:00:44,159 Speaker 1: The firm says hopes for a PET rebound. 14 00:00:44,360 --> 00:00:48,919 Speaker 2: Instead, her sales have stalled as shoppers pull back elsewhere. 15 00:00:48,960 --> 00:00:53,080 Speaker 2: Nover Noordous next Generation OPEC shot cagri Semma underperformed Eli 16 00:00:53,240 --> 00:00:56,080 Speaker 2: Lilly's to Zeppra Tide and a head to head trial. 17 00:00:56,400 --> 00:01:00,000 Speaker 2: Let's bring a nover Noordous Chief Scientific Scientific Officer Mark 18 00:01:00,080 --> 00:01:02,720 Speaker 2: and host Long on this. Martin, thank you so much 19 00:01:02,720 --> 00:01:05,200 Speaker 2: for joining us this morning. And I just want to 20 00:01:05,200 --> 00:01:08,160 Speaker 2: bring you a comment from a shareholder of nov Nordice 21 00:01:08,240 --> 00:01:11,600 Speaker 2: of global Health invest NOV notice this opportunity to make 22 00:01:11,640 --> 00:01:12,319 Speaker 2: a comeback in the. 23 00:01:12,319 --> 00:01:14,399 Speaker 1: Fight against Lily. This was it. 24 00:01:14,800 --> 00:01:17,280 Speaker 2: This obviously weekends them in a fight. What would be 25 00:01:17,360 --> 00:01:20,160 Speaker 2: your message to those who believe the same thing, who 26 00:01:20,160 --> 00:01:22,479 Speaker 2: have looked at this study and said, now this means 27 00:01:22,520 --> 00:01:27,800 Speaker 2: NOVO is falling even further behind Eli Lilly, I. 28 00:01:27,800 --> 00:01:31,440 Speaker 3: Would answer, it's been a few years since we designed 29 00:01:32,000 --> 00:01:35,720 Speaker 3: the redefined program, the program to show the weight loss 30 00:01:35,760 --> 00:01:40,440 Speaker 3: potential of caguisemma. We already last year learned that to 31 00:01:40,640 --> 00:01:44,440 Speaker 3: really see the true weight loss potential of cagurosemma, it 32 00:01:44,520 --> 00:01:48,640 Speaker 3: is a very powerful combination of two molecules. We need 33 00:01:48,680 --> 00:01:51,400 Speaker 3: to have what we call it this both titration algorithms 34 00:01:51,440 --> 00:01:55,640 Speaker 3: to really allow patients to tyitrate the very powerful treatment 35 00:01:55,720 --> 00:01:58,680 Speaker 3: in the way that they prefer. We could see from 36 00:01:58,720 --> 00:02:03,160 Speaker 3: the first study that that could be further optimized in 37 00:02:03,200 --> 00:02:06,880 Speaker 3: this setting. We could not manage to implement those learnings 38 00:02:06,880 --> 00:02:09,280 Speaker 3: in what we call redefined form, which is the study 39 00:02:09,280 --> 00:02:13,800 Speaker 3: that we discussed today, So the jury is still out 40 00:02:13,919 --> 00:02:18,120 Speaker 3: of what can caguissemma actually achieve. In the study that 41 00:02:18,160 --> 00:02:21,000 Speaker 3: read out today, we saw twenty three percent weight loss 42 00:02:21,040 --> 00:02:25,880 Speaker 3: with cagrissimma that is actually very substantial and it is 43 00:02:25,919 --> 00:02:29,240 Speaker 3: among the best weight losses that we've seen also amongst 44 00:02:29,680 --> 00:02:30,799 Speaker 3: the drugs in the market. 45 00:02:31,040 --> 00:02:33,440 Speaker 2: Right, of course, just sort of the shore point in 46 00:02:33,440 --> 00:02:36,160 Speaker 2: that if I can jump in Martin is just the 47 00:02:36,160 --> 00:02:38,520 Speaker 2: comparison to Lily, it will forever be there. 48 00:02:38,760 --> 00:02:42,000 Speaker 1: So what is the plan then to catch up with them? 49 00:02:42,320 --> 00:02:45,480 Speaker 3: Yeah, exactly. So, first of all, the twenty three percent 50 00:02:45,520 --> 00:02:47,880 Speaker 3: weight loss that we solved with cagris emma is in 51 00:02:47,919 --> 00:02:50,800 Speaker 3: line with what we've previously seen. The twenty five percent 52 00:02:50,880 --> 00:02:53,520 Speaker 3: which we saw with the comparative drug is actually the 53 00:02:53,560 --> 00:02:58,320 Speaker 3: best data that has been seen so far in similar trials, 54 00:02:58,639 --> 00:03:02,560 Speaker 3: which is a little bit surprised, but it stands alone 55 00:03:02,960 --> 00:03:07,360 Speaker 3: in terms of that twenty five percent. But we've also 56 00:03:07,440 --> 00:03:09,680 Speaker 3: taken a lot of learnings in terms of how we 57 00:03:09,720 --> 00:03:13,920 Speaker 3: can improve the titration for cagrisemma. We've implemented those learnings 58 00:03:14,000 --> 00:03:16,799 Speaker 3: in the study that's currently ongoing that started it is 59 00:03:16,800 --> 00:03:19,960 Speaker 3: called Redefine eleven and reguarded for the last year. That 60 00:03:20,360 --> 00:03:22,520 Speaker 3: only when we see those data do we know the 61 00:03:22,639 --> 00:03:27,280 Speaker 3: full weight loss potential of cagrosemma. Furthermore, we are initiating 62 00:03:27,919 --> 00:03:31,280 Speaker 3: during this year Phase three start is to investigate it 63 00:03:31,480 --> 00:03:34,760 Speaker 3: even higher doses of cagrisemma. And then obviously we have 64 00:03:35,040 --> 00:03:39,640 Speaker 3: our very competitive pipeline starting within agamside that starts phase 65 00:03:39,640 --> 00:03:43,000 Speaker 3: three this year, but also our two triagonist that is 66 00:03:43,040 --> 00:03:46,000 Speaker 3: currently in phases one and two. So I think from 67 00:03:46,080 --> 00:03:48,200 Speaker 3: a short but also a longer term perspective, we have 68 00:03:48,240 --> 00:03:50,560 Speaker 3: a very competitive portfolio and pipeline. 69 00:03:51,600 --> 00:03:55,280 Speaker 2: Martin, on that pipeline, you seem confident on it. You 70 00:03:55,360 --> 00:03:57,480 Speaker 2: would you like to see that bolstered by some m 71 00:03:57,560 --> 00:03:59,920 Speaker 2: and a by bringing in organic growth to the pipe 72 00:04:00,040 --> 00:04:00,480 Speaker 2: line too. 73 00:04:02,440 --> 00:04:04,760 Speaker 3: The way we think about this is that business is 74 00:04:04,760 --> 00:04:07,960 Speaker 3: a very complex disease, and obviously we want to have 75 00:04:08,040 --> 00:04:10,480 Speaker 3: drugs that provide the biggest weight loss, but we also 76 00:04:10,600 --> 00:04:13,320 Speaker 3: have want to have drugs that gives as few side 77 00:04:13,360 --> 00:04:15,560 Speaker 3: effects as possible. That we also have want to have 78 00:04:15,640 --> 00:04:19,920 Speaker 3: drugs that provide commobidities, and to an extent, in our 79 00:04:19,920 --> 00:04:22,640 Speaker 3: current portfolio we have all of that. We also have 80 00:04:22,880 --> 00:04:27,800 Speaker 3: the best in class all already on the market in 81 00:04:27,839 --> 00:04:32,560 Speaker 3: the US, and the Senate Game Site offering that is 82 00:04:32,560 --> 00:04:36,000 Speaker 3: starting phase three will have both a subconchaneous and an 83 00:04:36,040 --> 00:04:39,200 Speaker 3: awful all offering with what we be with market. 84 00:04:39,279 --> 00:04:41,919 Speaker 2: Why why within that did you not follow Lily with 85 00:04:41,960 --> 00:04:43,960 Speaker 2: the truer Zepra tide and develop a g LP one 86 00:04:44,040 --> 00:04:45,880 Speaker 2: g I P Why not go down that route when 87 00:04:45,960 --> 00:04:47,080 Speaker 2: so many other companies did. 88 00:04:50,080 --> 00:04:54,120 Speaker 3: We need to follow our philosophy. Where we do development, 89 00:04:54,200 --> 00:04:57,239 Speaker 3: we also want to we always want to see differentiated 90 00:04:57,320 --> 00:05:00,600 Speaker 3: weight loss potential or efficacy potential, but also the differentiated 91 00:05:00,640 --> 00:05:03,719 Speaker 3: safety and sol ability. We do believe that we will 92 00:05:03,760 --> 00:05:08,440 Speaker 3: see that when we see redefine eleven in terms of 93 00:05:08,520 --> 00:05:11,560 Speaker 3: weight loss CAKU SMA. But we also believe that we 94 00:05:11,600 --> 00:05:15,680 Speaker 3: have that potential for EMI cretin, which is another version 95 00:05:15,960 --> 00:05:21,320 Speaker 3: of addressing two biologies. So you mentioned GLP one g 96 00:05:21,400 --> 00:05:29,160 Speaker 3: ip senagamtide is GLP one plus sorry, Emlin. And then 97 00:05:29,160 --> 00:05:32,039 Speaker 3: we have what we call triagonist, which is basically the 98 00:05:32,160 --> 00:05:33,840 Speaker 3: next level. 99 00:05:34,560 --> 00:05:35,839 Speaker 1: We do again. 100 00:05:35,600 --> 00:05:38,039 Speaker 3: Believe that that is going to be a very competitive 101 00:05:38,120 --> 00:05:41,640 Speaker 3: offering individually but specifically as a portfolio. 102 00:05:41,800 --> 00:05:43,280 Speaker 2: Okay, Martin, we're going to have to leave it there. 103 00:05:43,320 --> 00:05:45,200 Speaker 2: Thank you so much for joining us today. That's never 104 00:05:45,320 --> 00:05:48,520 Speaker 2: not As Chief Scientificate Officer, Martin host Long