WEBVTT 0e561837-1c21-448b-ab53-e83f6bfb816b-0 00:00:00.120 --> 00:00:02.485 Stefan, thank you so much for joining me today to 0e561837-1c21-448b-ab53-e83f6bfb816b-1 00:00:02.485 --> 00:00:04.000 talk about Breakthrough Science. 63c8d345-a9c5-4bae-8ac2-63ea95edcdb4-0 00:00:04.720 --> 00:00:05.760 It's a pleasure to be here. 8a001df2-0f9e-45f6-a927-06b3c4ab5292-0 00:00:06.800 --> 00:00:10.858 So, you at Bayer, more specifically your impact investment 8a001df2-0f9e-45f6-a927-06b3c4ab5292-1 00:00:10.858 --> 00:00:16.567 arm LEAPS has launched the study together with BCG to look at how public sentiment 8a001df2-0f9e-45f6-a927-06b3c4ab5292-2 00:00:16.567 --> 00:00:21.932 across the world looks at science and technology and specifically a number of 8a001df2-0f9e-45f6-a927-06b3c4ab5292-3 00:00:21.932 --> 00:00:27.160 the very forward-looking forefront technologies that you're also active in. 61cd17f2-a333-4df0-8a62-3ab4b6da3661-0 00:00:27.960 --> 00:00:33.494 So, we surveyed 13,000 people, and one of the most surprising findings 61cd17f2-a333-4df0-8a62-3ab4b6da3661-1 00:00:33.494 --> 00:00:37.625 was the overwhelming optimism, across all countries, 61cd17f2-a333-4df0-8a62-3ab4b6da3661-2 00:00:37.625 --> 00:00:43.003 about the promise and potential of science and technology to improve 61cd17f2-a333-4df0-8a62-3ab4b6da3661-3 00:00:43.003 --> 00:00:44.639 individuals' futures. 3fcb1f18-c069-4cb3-b697-40701c4e3b4d-0 00:00:45.080 --> 00:00:47.480 75% of of respondents said that. a331cd1f-6cbe-4b2c-b62d-11bdc54005e6-0 00:00:48.040 --> 00:00:51.009 So, what motivated you at Bayer to start such a331cd1f-6cbe-4b2c-b62d-11bdc54005e6-1 00:00:51.009 --> 00:00:53.720 an effort and do research into that topic? d0d3c3d3-e36c-4b2c-9070-c725000d36fb-0 00:00:55.120 --> 00:00:58.966 First and foremost, we're a science-based company and we live d0d3c3d3-e36c-4b2c-9070-c725000d36fb-1 00:00:58.966 --> 00:01:03.867 in a world where the progress in science has never been as fast as it has been d0d3c3d3-e36c-4b2c-9070-c725000d36fb-2 00:01:03.867 --> 00:01:04.240 today. 9cf8f593-4999-47be-a9ea-1d6980ecdda2-0 00:01:04.480 --> 00:01:07.063 So, there is no better moment in history than 9cf8f593-4999-47be-a9ea-1d6980ecdda2-1 00:01:07.063 --> 00:01:09.760 actually to engage into these new technologies. 09a74f00-3e70-47c6-9cf9-59ac6152562c-0 00:01:10.720 --> 00:01:13.150 So, we ask people about their perceptions on 09a74f00-3e70-47c6-9cf9-59ac6152562c-1 00:01:13.150 --> 00:01:17.255 a whole range of new technologies, cell and gene and in healthcare in terms 09a74f00-3e70-47c6-9cf9-59ac6152562c-2 00:01:17.255 --> 00:01:18.120 of therapeutics. 79f5a7b8-bae0-4efc-963a-56e759971b0e-0 00:01:18.440 --> 00:01:22.000 We ask about AI in healthcare and how that can change healthcare delivery. 2cf3fc1f-dfbd-46ab-b44a-e44c466aedd0-0 00:01:22.360 --> 00:01:27.080 We're also asked about cultured meat and new genomic techniques in, in agriculture. 221e5416-1a28-474c-99bb-394addef07b2-0 00:01:27.680 --> 00:01:30.152 Overall, it's a lot easier for people to feel 221e5416-1a28-474c-99bb-394addef07b2-1 00:01:30.152 --> 00:01:34.343 optimistic about cell and gene and in therapeutics than about a couple of the 221e5416-1a28-474c-99bb-394addef07b2-2 00:01:34.343 --> 00:01:34.720 others. a3881b2d-ad95-460b-936f-e40cd22f3dd1-0 00:01:35.160 --> 00:01:38.802 But even on new genomic technologies in agriculture, a3881b2d-ad95-460b-936f-e40cd22f3dd1-1 00:01:38.802 --> 00:01:44.370 over 50% of respondents in both developed and developed nations were positive in a3881b2d-ad95-460b-936f-e40cd22f3dd1-2 00:01:44.370 --> 00:01:44.920 general. 78db1ef2-a5f2-4045-af12-40d736255c29-0 00:01:45.280 --> 00:01:50.315 And then as soon as people thought about the benefits in terms of more climate 78db1ef2-a5f2-4045-af12-40d736255c29-1 00:01:50.315 --> 00:01:55.160 resistant crops fighting world hunger, actually that support went up a lot. 547b8e41-4ed5-46bd-834b-89aff09bee3b-0 00:01:55.600 --> 00:01:57.957 So, what do you conclude from that for the 547b8e41-4ed5-46bd-834b-89aff09bee3b-1 00:01:57.957 --> 00:02:01.355 business opportunity, but also for the dialogue you'd like to 547b8e41-4ed5-46bd-834b-89aff09bee3b-2 00:02:01.355 --> 00:02:02.999 happen in in the public arena? 1ed231d4-a019-47f6-91b7-6ee276dd2755-0 00:02:03.600 --> 00:02:06.902 First of all, I do see that across a wide array of 1ed231d4-a019-47f6-91b7-6ee276dd2755-1 00:02:06.902 --> 00:02:10.139 people in society, there's more support for these 1ed231d4-a019-47f6-91b7-6ee276dd2755-2 00:02:10.139 --> 00:02:12.600 technologies, including policy makers. 743195eb-8f9f-4fda-9e45-8a2eaec24fae-0 00:02:12.640 --> 00:02:14.440 There's also a better information. e74aa569-9d63-486f-8a96-7346154e65cb-0 00:02:14.640 --> 00:02:19.817 And that's something that we also owe to the public about what these technologies e74aa569-9d63-486f-8a96-7346154e65cb-1 00:02:19.817 --> 00:02:24.680 can do and also dispel some of the myths, negative myths that surround them. 90172c8a-6a88-4c57-9d39-8b263e423345-0 00:02:25.680 --> 00:02:30.179 If we come back to healthcare and cell and gene therapies and healthcare, 90172c8a-6a88-4c57-9d39-8b263e423345-1 00:02:30.179 --> 00:02:35.105 one of the questions we asked people was we know these are technologies that are 90172c8a-6a88-4c57-9d39-8b263e423345-2 00:02:35.105 --> 00:02:36.200 costly to develop. b447e106-ef71-4ae3-8db2-b59c25ba8319-0 00:02:36.600 --> 00:02:38.160 They, they will be expensive. 9ee6f0d9-16b7-4f45-ac1c-3bed12e95798-0 00:02:38.240 --> 00:02:42.160 They will be not accessible for a big part of the population at first. 64bc4358-5e89-4ac3-b413-f9d3e6d312cc-0 00:02:42.600 --> 00:02:47.091 Yet 60% of respondents were still very supportive because they felt that is what 64bc4358-5e89-4ac3-b413-f9d3e6d312cc-1 00:02:47.091 --> 00:02:49.476 it, what it's going to take to advance the 64bc4358-5e89-4ac3-b413-f9d3e6d312cc-2 00:02:49.476 --> 00:02:49.920 science. d9307e37-6c29-430e-a110-0a91c0b1c908-0 00:02:50.240 --> 00:02:54.440 How do you look at that in some of our forefront technologies in our industry? 57aa8251-ff8e-4cba-b60d-56112c32f032-0 00:02:54.800 --> 00:02:58.440 Is inequality of access unavoidable or how do you see that develop? e799106b-e33d-477f-aa1b-934891332ce0-0 00:02:58.440 --> 00:03:01.625 I think, I think we need to think about modalities e799106b-e33d-477f-aa1b-934891332ce0-1 00:03:01.625 --> 00:03:05.185 of payment in, in different access schemes and there are e799106b-e33d-477f-aa1b-934891332ce0-2 00:03:05.185 --> 00:03:10.306 solutions to this because when you have a one shot therapy that actually solves a e799106b-e33d-477f-aa1b-934891332ce0-3 00:03:10.306 --> 00:03:13.367 problem, instead of going into chronic therapies e799106b-e33d-477f-aa1b-934891332ce0-4 00:03:13.367 --> 00:03:18.613 where you have to pay for years and years, including all the costs of care that are e799106b-e33d-477f-aa1b-934891332ce0-5 00:03:18.613 --> 00:03:19.800 associated to that. 9ad7e7d5-cdae-492f-9b18-5527172b67a8-0 00:03:20.160 --> 00:03:24.586 We have to look at a total cost and we need to come up with modalities to 9ad7e7d5-cdae-492f-9b18-5527172b67a8-1 00:03:24.586 --> 00:03:26.920 actually finance these novel therapies. 18936b3a-85b6-48e4-a95c-2412fc4ff041-0 00:03:26.920 --> 00:03:30.912 So, it's not about spending more, it's actually about becoming more 18936b3a-85b6-48e4-a95c-2412fc4ff041-1 00:03:30.912 --> 00:03:33.320 efficient in the way how we provide care. 554a25b4-2127-405e-b553-d3ad8f6541cd-0 00:03:33.840 --> 00:03:35.973 Stefan, thank you so much for joining me today 554a25b4-2127-405e-b553-d3ad8f6541cd-1 00:03:35.973 --> 00:03:36.200 here. 9a2a3a65-0c08-4d16-8af8-ccde4c2fe593-0 00:03:37.160 --> 00:03:37.640 You're welcome.