WEBVTT 1 00:00:04.860 --> 00:00:06.486 I am Chrissy O'Brien. 2 00:00:06.486 --> 00:00:08.034 I'm a senior partner at BCG, 3 00:00:08.034 --> 00:00:09.621 and I have the distinct honor 4 00:00:09.621 --> 00:00:10.933 of being our moderator this morning. 5 00:00:10.933 --> 00:00:11.970 Joined on stage with an all-star group 6 00:00:11.970 --> 00:00:13.320 of healthcare executives 7 00:00:13.320 --> 00:00:16.020 to discuss a very exciting topic around innovation. 8 00:00:16.020 --> 00:00:17.520 What are you most excited about? 9 00:00:17.520 --> 00:00:19.267 What do you think the opportunities 10 00:00:19.267 --> 00:00:21.113 will be from an innovation perspective? 11 00:00:21.113 --> 00:00:22.560 We've heard terminology, "the golden era 12 00:00:22.560 --> 00:00:23.730 of innovation in healthcare." 13 00:00:23.730 --> 00:00:25.740 I really think that that's the case. 14 00:00:25.740 --> 00:00:27.817 On the biopharma side, 15 00:00:27.817 --> 00:00:30.173 precision medicine remains top of the list. 16 00:00:30.173 --> 00:00:33.750 RNA technologies, both in terms of generating proteins, 17 00:00:33.750 --> 00:00:35.880 also silencing proteins. 18 00:00:35.880 --> 00:00:38.940 On the services side, AI and ML, 19 00:00:38.940 --> 00:00:43.680 alternate-site care, digital care, very exciting. 20 00:00:43.680 --> 00:00:45.933 And then on the devices side, 21 00:00:46.980 --> 00:00:51.870 sort of AI/ML-driven product ecosystem, the product suites. 22 00:00:51.870 --> 00:00:55.980 The innovation cycle is going to hit healthcare 23 00:00:55.980 --> 00:00:58.800 like a truck, and it's going to make a huge impact 24 00:00:58.800 --> 00:01:00.210 on patients' lives. 25 00:01:00.210 --> 00:01:02.280 The pace of change of innovation, 26 00:01:02.280 --> 00:01:05.166 I think has gone through a sort of step function 27 00:01:05.166 --> 00:01:06.450 over the course of the last five years. 28 00:01:06.450 --> 00:01:08.520 And this convergence with technology 29 00:01:08.520 --> 00:01:10.890 is having a profound impact upon medicine 30 00:01:10.890 --> 00:01:13.710 in every single aspect of the spectrum that we look at. 31 00:01:13.710 --> 00:01:15.660 Healthcare companies spent 2023 32 00:01:15.660 --> 00:01:17.640 understanding the potential of AI. 33 00:01:17.640 --> 00:01:21.000 In 2024, they'll focus on implementation. 34 00:01:21.000 --> 00:01:23.100 What AI and ML is going to help us do, 35 00:01:23.100 --> 00:01:25.617 it's going to help us with efficiency, and it's 36 00:01:25.617 --> 00:01:28.890 going to help us bring high-quality medicines faster. 37 00:01:28.890 --> 00:01:30.990 We talk about target identification. 38 00:01:30.990 --> 00:01:33.420 Also within making chemical matter, 39 00:01:33.420 --> 00:01:37.680 having the tools to more quickly get to the composition of 40 00:01:37.680 --> 00:01:40.860 matter that you want to get to is going to be so critical. 41 00:01:40.860 --> 00:01:43.620 80% of the challenge of bringing AI 42 00:01:43.620 --> 00:01:47.340 to a new therapy is wrestling with the data 43 00:01:47.340 --> 00:01:50.160 and getting it labeled and organized and curated, 44 00:01:50.160 --> 00:01:54.960 and dealing with the appropriate care of who has permissions 45 00:01:54.960 --> 00:01:59.760 to use the data, and being careful about protecting 46 00:01:59.760 --> 00:02:02.670 and ensuring the privacy of patients. 47 00:02:02.670 --> 00:02:04.800 GLP-1 medicines have shown potential 48 00:02:04.800 --> 00:02:06.570 that goes far beyond weight loss. 49 00:02:06.570 --> 00:02:09.480 As we think about the GLP market, the weight, 50 00:02:09.480 --> 00:02:12.126 we've been thinking about the market will carved up. 51 00:02:12.126 --> 00:02:14.010 It's a comorbidity with weight loss. 52 00:02:14.010 --> 00:02:16.290 We have a product that we're bringing in for 53 00:02:16.290 --> 00:02:18.120 NASH with obesity. 54 00:02:18.120 --> 00:02:19.890 And so I think you'll see this theme 55 00:02:19.890 --> 00:02:21.930 just kind of carved up into different diseases. 56 00:02:21.930 --> 00:02:24.540 And then I do think the reimbursement will catch up 57 00:02:24.540 --> 00:02:26.850 as you have the hard clinical outcomes 58 00:02:26.850 --> 00:02:29.130 and the long-term data to go along with it. 59 00:02:29.130 --> 00:02:30.360 The Inflation Reduction Act 60 00:02:30.360 --> 00:02:33.990 has created a new set of challenges for biopharma companies. 61 00:02:33.990 --> 00:02:38.130 You have such a high fail rate in this business, 62 00:02:38.130 --> 00:02:41.880 the capital in terms of large trials that you're spending. 63 00:02:41.880 --> 00:02:43.857 Now you have to ask yourself, 64 00:02:43.857 --> 00:02:44.850 How many of these trials you have to bring forward 65 00:02:44.850 --> 00:02:46.314 from day one? 66 00:02:46.314 --> 00:02:48.418 It impacts the way you fund, 67 00:02:48.418 --> 00:02:50.070 it has a knock on effect on maybe other trials 68 00:02:50.070 --> 00:02:52.050 that you're thinking about for other molecules. 69 00:02:52.050 --> 00:02:54.750 As the IRA becomes real, 70 00:02:54.750 --> 00:02:56.580 you'll see a market correction on 71 00:02:56.580 --> 00:02:59.125 especially those with small molecules 72 00:02:59.125 --> 00:03:02.013 because the biotechs don't have the luxury 73 00:03:02.013 --> 00:03:04.290 to prosecute like a big pharma. 74 00:03:04.290 --> 00:03:06.870 It's strategically very important for biotech companies 75 00:03:06.870 --> 00:03:08.700 to think about this, because again, 76 00:03:08.700 --> 00:03:12.378 it may change their strategies on partnering clinical 77 00:03:12.378 --> 00:03:13.470 trialing and capital allocation. 78 00:03:13.470 --> 00:03:15.150 2024 Will be a busy one 79 00:03:15.150 --> 00:03:17.310 for mergers and acquisitions. 80 00:03:17.310 --> 00:03:19.470 Financial conditions are easing. 81 00:03:19.470 --> 00:03:21.990 The big companies want and need growth. 82 00:03:21.990 --> 00:03:24.900 This allows for more transactions. 83 00:03:24.900 --> 00:03:27.300 Innovation happens not just inside our own walls, 84 00:03:27.300 --> 00:03:29.910 but it happens a lot in other startup companies, 85 00:03:29.910 --> 00:03:32.063 other technology companies. 86 00:03:32.063 --> 00:03:34.320 So we're being very disciplined about evaluating those 87 00:03:34.320 --> 00:03:36.990 for potential tuck-in acquisitions. 88 00:03:36.990 --> 00:03:39.690 The patent cliffs for many of our peers, 89 00:03:39.690 --> 00:03:41.644 they're still in a window 90 00:03:41.644 --> 00:03:43.256 where they're going to have significant patent cliffs, 91 00:03:43.256 --> 00:03:44.310 so there's going to be a desire and need 92 00:03:44.310 --> 00:03:47.190 to bring in high-quality late-stage compounds. 93 00:03:47.190 --> 00:03:48.810 The market this year is going to continue 94 00:03:48.810 --> 00:03:51.540 to be quite challenging from a private equity standpoint. 95 00:03:51.540 --> 00:03:52.650 It's partly because you've still got 96 00:03:52.650 --> 00:03:54.510 relatively high interest rates. 97 00:03:54.510 --> 00:03:56.312 I think you are going to see 98 00:03:56.312 --> 00:03:57.840 some more bespoke solutions arising 99 00:03:57.840 --> 00:04:01.770 where people have got specific targets or assets in mind 100 00:04:01.770 --> 00:04:03.450 where they want to bring in a partner 101 00:04:03.450 --> 00:04:05.283 to create a win-win situation.