1 00:00:15,316 --> 00:00:24,996 Speaker 1: Pushkin. Not long before he died, Steve Jobs made this big, sweeping, 2 00:00:25,636 --> 00:00:30,556 Speaker 1: very Steve Jobs claim. He said, the biggest innovations of 3 00:00:30,556 --> 00:00:33,356 Speaker 1: the twenty first century will be at the intersection of 4 00:00:33,436 --> 00:00:39,036 Speaker 1: biology and technology. A new era is beginning. If Steve 5 00:00:39,116 --> 00:00:42,236 Speaker 1: Jobs was right, if biotech over the next fifty years 6 00:00:42,276 --> 00:00:45,836 Speaker 1: develops like computers did over the past fifty years, then 7 00:00:45,996 --> 00:00:49,316 Speaker 1: we are about to see wave after wave of just 8 00:00:49,596 --> 00:00:54,756 Speaker 1: extraordinary innovations in medicine. Very high on that list of 9 00:00:54,796 --> 00:01:04,516 Speaker 1: innovations human body parts made in the lab. I'm Jacob 10 00:01:04,516 --> 00:01:06,876 Speaker 1: Goldstein and this is What's Your Problem, the show where 11 00:01:06,916 --> 00:01:10,356 Speaker 1: I talk to people who are trying to make technological progress. 12 00:01:10,876 --> 00:01:14,276 Speaker 1: My guest today is Nina Tandon, co founder and CEO 13 00:01:14,476 --> 00:01:18,516 Speaker 1: of EpiBone. Nina's problem is this, how do you grow 14 00:01:18,956 --> 00:01:21,756 Speaker 1: human bone in a lab and do it at a 15 00:01:21,796 --> 00:01:26,436 Speaker 1: price that makes economic sense. In our conversation we talked 16 00:01:26,436 --> 00:01:30,196 Speaker 1: about how EpiBone is growing human bone that's being used 17 00:01:30,236 --> 00:01:33,716 Speaker 1: even now to treat patients, but also we talked more 18 00:01:33,756 --> 00:01:37,196 Speaker 1: broadly about the field that EpiBone is part of. It's 19 00:01:37,196 --> 00:01:42,996 Speaker 1: a field called tissue engineering. Maybe just to start, like, 20 00:01:43,196 --> 00:01:49,396 Speaker 1: what is tissue engineering? Well, tissue engineering is a branch 21 00:01:49,516 --> 00:01:57,596 Speaker 1: of engineering that's devoted to the creation of surrogate body parts. Okay, 22 00:01:57,836 --> 00:02:03,356 Speaker 1: the future, Yeah, one stop body shop for human prepare 23 00:02:03,716 --> 00:02:07,436 Speaker 1: to what extent is tissue engineering the present? What tissue 24 00:02:07,436 --> 00:02:12,436 Speaker 1: engineering is actually happening in mass production, normal medicine. Now, 25 00:02:12,756 --> 00:02:15,836 Speaker 1: that is a good question, and I think you know 26 00:02:15,876 --> 00:02:17,676 Speaker 1: an easy way to think about it is, you know, 27 00:02:17,676 --> 00:02:19,676 Speaker 1: if you and I were to do a thought experiment 28 00:02:20,516 --> 00:02:23,836 Speaker 1: of what would be an easy tissue to grow, what 29 00:02:23,916 --> 00:02:26,956 Speaker 1: might you say? None? I would say it sounds crazy 30 00:02:26,996 --> 00:02:31,316 Speaker 1: hard to grow tissue, all right, right, Well, maybe something flat, okay, 31 00:02:31,476 --> 00:02:34,076 Speaker 1: maybe something with a single cell type. Maybe a tissue 32 00:02:34,076 --> 00:02:39,316 Speaker 1: then regenerates on its own. Skin okay, boom rites a 33 00:02:39,436 --> 00:02:45,076 Speaker 1: skin is a flat tissue, single cell type, and regenerates 34 00:02:45,076 --> 00:02:47,796 Speaker 1: on its own. Okay, has a lot of stem cells 35 00:02:47,796 --> 00:02:50,236 Speaker 1: in it, and so regenerates on its own. Like you 36 00:02:50,276 --> 00:02:53,476 Speaker 1: get a cut, you get a scrape, and magically a 37 00:02:53,556 --> 00:02:56,556 Speaker 1: week later or whatever, you have new skin there. Yeah. 38 00:02:56,596 --> 00:03:01,636 Speaker 1: And so in the early two thousands, we saw two 39 00:03:01,676 --> 00:03:05,516 Speaker 1: products in the late nineties early two thousands be released 40 00:03:05,556 --> 00:03:10,036 Speaker 1: to the market, I believe, for burns and diabetic foot 41 00:03:10,076 --> 00:03:14,196 Speaker 1: ulcers something like that. And so that's the first that's easy. 42 00:03:14,556 --> 00:03:18,156 Speaker 1: So you have this moment twenty years ago, people are 43 00:03:18,236 --> 00:03:21,596 Speaker 1: making skin graphs in the lab and there's sort of 44 00:03:21,596 --> 00:03:24,076 Speaker 1: big dreams. So if we can do skin, maybe we 45 00:03:24,156 --> 00:03:26,756 Speaker 1: can regrow everything in the lab. And so when do 46 00:03:26,876 --> 00:03:28,516 Speaker 1: you get into the field, When do you walk into 47 00:03:28,556 --> 00:03:33,036 Speaker 1: the story. I was an electrical engineer coming out of 48 00:03:33,076 --> 00:03:36,236 Speaker 1: undergrad and I had worked as a software programmer for 49 00:03:36,316 --> 00:03:39,076 Speaker 1: a telecom company. So this was not what I thought 50 00:03:39,116 --> 00:03:41,836 Speaker 1: I was going to be doing with my life. But 51 00:03:42,396 --> 00:03:44,636 Speaker 1: nine to eleven happened. I was living in the suburbs 52 00:03:44,676 --> 00:03:47,796 Speaker 1: for the first time in my life, and I got 53 00:03:47,836 --> 00:03:51,356 Speaker 1: a little bored and started taking classes at the local 54 00:03:51,396 --> 00:03:56,436 Speaker 1: community college in anatomy and physiology. And I think because 55 00:03:56,476 --> 00:03:59,196 Speaker 1: I was so lonely, because I was so kind of 56 00:03:59,796 --> 00:04:04,396 Speaker 1: starved for that type of engagement, I really got into 57 00:04:04,436 --> 00:04:09,596 Speaker 1: this class and I decided I was gonna, you know, 58 00:04:09,596 --> 00:04:11,796 Speaker 1: I had to follow this. So I applied to the 59 00:04:13,036 --> 00:04:19,036 Speaker 1: bioelectrical engineering track at MIT and got in for a 60 00:04:19,076 --> 00:04:22,436 Speaker 1: PhD for a PhD program, And so it's at MT 61 00:04:22,676 --> 00:04:29,276 Speaker 1: that you sort of discover this emerging field of tissue engineering. Yeah. Yeah, 62 00:04:29,316 --> 00:04:34,076 Speaker 1: And when you discover it, like, what do you think, oh, 63 00:04:34,116 --> 00:04:38,076 Speaker 1: my gosh, it's so cool this woman, Gordona, who was 64 00:04:38,116 --> 00:04:40,316 Speaker 1: one of the professors, and I just connected with her 65 00:04:40,316 --> 00:04:44,476 Speaker 1: as a person. To discover that one of the nicest 66 00:04:44,476 --> 00:04:48,036 Speaker 1: people that I knew at MIT also happened to be 67 00:04:48,436 --> 00:04:53,196 Speaker 1: experimenting with using electrical signals to grow hearts, and that 68 00:04:54,156 --> 00:04:57,436 Speaker 1: I was like, wow, I need to know if maybe 69 00:04:57,636 --> 00:05:00,356 Speaker 1: she might want to work with someone who's an electrical 70 00:05:00,396 --> 00:05:04,276 Speaker 1: engineer on that, and she did, And that was really 71 00:05:04,476 --> 00:05:07,156 Speaker 1: felt like destiny to me because I thought to myself, 72 00:05:07,156 --> 00:05:09,036 Speaker 1: I mean, I'd already fallen in love with the heart 73 00:05:09,156 --> 00:05:13,396 Speaker 1: at that point through my studies, so it really spoke 74 00:05:13,476 --> 00:05:16,116 Speaker 1: to me. And the idea that we could copy those 75 00:05:16,116 --> 00:05:19,876 Speaker 1: electrical signals to try and coax embryonic stem cells into 76 00:05:19,916 --> 00:05:25,236 Speaker 1: becoming heart cells or you know, to essentially coax the 77 00:05:25,276 --> 00:05:30,116 Speaker 1: tissue to form that to me was intoxicating. So how 78 00:05:30,156 --> 00:05:32,076 Speaker 1: do you get from there? I mean, you fell in 79 00:05:32,156 --> 00:05:34,196 Speaker 1: love with the heart, but you didn't end up starting 80 00:05:34,276 --> 00:05:39,036 Speaker 1: EPI Heart, You started EPI bone, Right, how do you 81 00:05:39,076 --> 00:05:42,756 Speaker 1: get from from there to starting your company? Cardiac tissue 82 00:05:42,796 --> 00:05:45,036 Speaker 1: is on the end of the spectrum in terms of difficulty. 83 00:05:45,916 --> 00:05:49,396 Speaker 1: There's a lot of intermediate hard end of growing tissues 84 00:05:49,756 --> 00:05:54,196 Speaker 1: mechanically at most metabolically active tissue in the body, multiple 85 00:05:54,236 --> 00:05:57,676 Speaker 1: cell types arranged in a very specific manner. So really 86 00:05:57,716 --> 00:06:01,556 Speaker 1: the most difficult you could possibly imagine, and bone is 87 00:06:01,596 --> 00:06:04,716 Speaker 1: in the middle. It's a complex shape, but we could 88 00:06:04,716 --> 00:06:08,876 Speaker 1: solve that using digital fabrication, and we could use a 89 00:06:08,876 --> 00:06:11,596 Speaker 1: single cell type to engineer a pretty high quality bone. 90 00:06:11,876 --> 00:06:13,476 Speaker 1: So it was clear to me that if I wanted 91 00:06:13,516 --> 00:06:16,596 Speaker 1: to be involved in translating that's the word we use 92 00:06:16,596 --> 00:06:22,436 Speaker 1: in the field, translating science towards the clinic in my lifetime, 93 00:06:23,516 --> 00:06:26,476 Speaker 1: I should probably you work on a tissue that's closer 94 00:06:26,516 --> 00:06:30,316 Speaker 1: to the skin side of the spectrum than cardiac. Right, 95 00:06:30,356 --> 00:06:34,036 Speaker 1: so you start epic bone, you decide to work on bone. 96 00:06:34,436 --> 00:06:37,516 Speaker 1: That's like almost ten years ago now, and today you 97 00:06:37,596 --> 00:06:41,396 Speaker 1: do have this engineered bone. You're doing a clinical trial 98 00:06:42,076 --> 00:06:44,916 Speaker 1: and as I understand it, right, this is bone that 99 00:06:45,076 --> 00:06:48,436 Speaker 1: is going into people's jaws, where typically a surgeon would 100 00:06:48,436 --> 00:06:50,556 Speaker 1: cut a piece of a patient's own bone out of 101 00:06:50,556 --> 00:06:52,996 Speaker 1: some other part of their body. But you're growing the 102 00:06:53,036 --> 00:06:56,596 Speaker 1: bone in a lab basically from scratch. So tell me 103 00:06:56,636 --> 00:06:59,476 Speaker 1: about the clinical trial that's going on right now. Okay, 104 00:06:59,476 --> 00:07:04,756 Speaker 1: so patient I think I'm allowed to say this. Patient 105 00:07:04,836 --> 00:07:08,076 Speaker 1: one suffered a traumatic injury due to a car accident, 106 00:07:09,156 --> 00:07:12,396 Speaker 1: and so we provided bone to help reconstruct the jaw. 107 00:07:12,876 --> 00:07:17,356 Speaker 1: Patient two had suffered from a degenerating jaw resulting in 108 00:07:17,396 --> 00:07:20,996 Speaker 1: airway obstruction, so we provided bone to help elongate the 109 00:07:21,076 --> 00:07:25,436 Speaker 1: jaw and relieve that airway obstruction. Patient three, he was 110 00:07:25,476 --> 00:07:29,756 Speaker 1: born with facial asymmetry that would only be correctable by 111 00:07:29,756 --> 00:07:31,676 Speaker 1: taking bones out of some other part of his body 112 00:07:31,676 --> 00:07:34,876 Speaker 1: to reposition his jaw, and we were just able to 113 00:07:34,916 --> 00:07:37,516 Speaker 1: grow bones for him using a small sample of his 114 00:07:37,556 --> 00:07:41,716 Speaker 1: fat tissue. So you know, whether it's for cancer, trauma, 115 00:07:41,796 --> 00:07:44,836 Speaker 1: or congenital defects, people need bone. It's bone is the 116 00:07:44,876 --> 00:07:47,796 Speaker 1: most transplanted team in material after blood. And so he 117 00:07:47,916 --> 00:07:50,276 Speaker 1: is three. The number of patients in the trial, that's 118 00:07:50,276 --> 00:07:54,476 Speaker 1: the we've done six. Oh, he's done six, Okay, yeah, 119 00:07:54,476 --> 00:07:56,716 Speaker 1: And what is the total number of patients you plan 120 00:07:56,796 --> 00:07:59,396 Speaker 1: to enroll? That's the fully enrolled. So that was our 121 00:07:59,716 --> 00:08:01,996 Speaker 1: phase one too. That was our phase one two, first 122 00:08:01,996 --> 00:08:05,716 Speaker 1: in human, first in class. Basically safety and a little 123 00:08:05,716 --> 00:08:08,796 Speaker 1: bit of efficacy. That's what phase one two, that's right, Yeah, yeah, 124 00:08:09,316 --> 00:08:12,196 Speaker 1: in a little bit of efficacy, and hopefully we'll move 125 00:08:12,236 --> 00:08:14,356 Speaker 1: forward with a phase three in the not too distant 126 00:08:14,356 --> 00:08:19,156 Speaker 1: future where we'll be able to help a few more patients. 127 00:08:19,716 --> 00:08:23,116 Speaker 1: And so how does the process work. So we take 128 00:08:23,156 --> 00:08:25,596 Speaker 1: two things from the patient. One, we take an image 129 00:08:25,956 --> 00:08:28,476 Speaker 1: a CT scan, which is like a three dimensional X ray, 130 00:08:28,556 --> 00:08:30,876 Speaker 1: so we can extract three dimensional data out of that 131 00:08:31,356 --> 00:08:35,596 Speaker 1: and design a perfect puzzle piece shaped biomaterial that will 132 00:08:35,716 --> 00:08:38,636 Speaker 1: be the eventual shape of the bone. We also take 133 00:08:38,756 --> 00:08:41,156 Speaker 1: a small sample of fat tissue from the patient so 134 00:08:41,196 --> 00:08:43,156 Speaker 1: we can extract the stem cells out of it, so 135 00:08:43,196 --> 00:08:46,116 Speaker 1: those cells can attach to the scaffold, proliferate, lay down 136 00:08:46,196 --> 00:08:49,436 Speaker 1: new matrix, and essentially turn that biomaterial into living bone. 137 00:08:49,876 --> 00:08:52,396 Speaker 1: It takes about three weeks for bone. So you take 138 00:08:52,436 --> 00:08:56,556 Speaker 1: a CT scan to get the image of the shape 139 00:08:56,556 --> 00:09:01,116 Speaker 1: of the bone you need, and then from that you 140 00:09:01,196 --> 00:09:03,356 Speaker 1: make when you say a puzzle piece, you make basically 141 00:09:03,396 --> 00:09:06,876 Speaker 1: something that is the shape of the bone you need 142 00:09:07,876 --> 00:09:10,836 Speaker 1: made of stick or something. What is it made of? 143 00:09:11,236 --> 00:09:14,356 Speaker 1: So we take a cowbone, strip all the cellular material 144 00:09:14,396 --> 00:09:17,876 Speaker 1: out of it, so we're left with essentially protein and 145 00:09:18,356 --> 00:09:21,596 Speaker 1: mineral and it's a very porous material. It looks like 146 00:09:21,636 --> 00:09:25,316 Speaker 1: pumice stone and you can infuse cells onto that and 147 00:09:25,356 --> 00:09:28,876 Speaker 1: the cells kind of recognize that matrix as being a 148 00:09:28,916 --> 00:09:32,796 Speaker 1: place that gives them a cue towards differentiating them towards bone. 149 00:09:33,396 --> 00:09:36,276 Speaker 1: It feels bony enough to these cells that they say, okay, 150 00:09:36,356 --> 00:09:38,436 Speaker 1: let's let's make the rest of this bone. So right, 151 00:09:38,476 --> 00:09:43,076 Speaker 1: so you have this puzzle piece made of cowbone essentially, right, 152 00:09:43,156 --> 00:09:45,636 Speaker 1: that's in the right shape. So that's kind of one 153 00:09:45,636 --> 00:09:47,756 Speaker 1: one track. And then on the other track, you're taking 154 00:09:48,356 --> 00:09:53,276 Speaker 1: fat from the patient. You're getting the stem cells out 155 00:09:53,316 --> 00:09:55,476 Speaker 1: of that fat, and stem cells are cells that can 156 00:09:55,596 --> 00:10:00,236 Speaker 1: become any kind of cell. Right, So, yeah, we've got 157 00:10:00,276 --> 00:10:06,596 Speaker 1: the cowbone puzzle piece, we've got the stem cells from 158 00:10:06,636 --> 00:10:11,316 Speaker 1: the patient. What exactly how happens next? Well, this is 159 00:10:11,316 --> 00:10:16,636 Speaker 1: our secret sauce. The bioreactor. So a bioreactor is just 160 00:10:16,676 --> 00:10:22,036 Speaker 1: a fancy word for a cell culture system, like a 161 00:10:22,036 --> 00:10:23,956 Speaker 1: place where you can culture cells in and so we 162 00:10:23,996 --> 00:10:25,836 Speaker 1: get those cells to turn to grow up and turn 163 00:10:25,876 --> 00:10:28,716 Speaker 1: into bone. So so just to be able to see it, like, 164 00:10:29,396 --> 00:10:33,556 Speaker 1: is the bioreactor a metal box? What actually does it 165 00:10:33,596 --> 00:10:36,076 Speaker 1: look like? You know, you imagine a little bone and 166 00:10:36,116 --> 00:10:38,836 Speaker 1: then you imagine the reverse image of that bone. So 167 00:10:39,036 --> 00:10:42,236 Speaker 1: a little gasket that like covers that bone perfectly, and 168 00:10:42,276 --> 00:10:45,516 Speaker 1: that gasket has holes in it so I can perfuse 169 00:10:48,516 --> 00:10:52,156 Speaker 1: liquid food through it as it grows. And that gaskets 170 00:10:52,196 --> 00:10:55,476 Speaker 1: contained in kind of like another canister where we can 171 00:10:55,556 --> 00:10:57,916 Speaker 1: have fluid that comes in and fluid that comes out. 172 00:10:57,956 --> 00:11:02,476 Speaker 1: It's about the size of a coke can, and the 173 00:11:02,596 --> 00:11:05,436 Speaker 1: fluid input and output are attached to a pump, so 174 00:11:05,476 --> 00:11:08,956 Speaker 1: it's constantly pumping. And that whole contraption, which we've made 175 00:11:09,196 --> 00:11:11,716 Speaker 1: quite efficient in terms of sizes about a shoe box 176 00:11:12,356 --> 00:11:14,476 Speaker 1: in terms of size, and we can stack them up 177 00:11:15,116 --> 00:11:17,956 Speaker 1: so that we can grow many at a time. Great, 178 00:11:18,196 --> 00:11:22,196 Speaker 1: So you take the cowbone puzzle piece, how do you 179 00:11:22,236 --> 00:11:25,236 Speaker 1: get the stem cells to like go on to the 180 00:11:25,236 --> 00:11:28,916 Speaker 1: puzzle piece and grow. Yeah, we perfuse them very slowly 181 00:11:29,476 --> 00:11:32,236 Speaker 1: and the cells attach. And that's part of why the 182 00:11:32,276 --> 00:11:36,396 Speaker 1: biomaterial is so important, because you know, a piece of 183 00:11:36,476 --> 00:11:41,156 Speaker 1: decellularized bone has a lot of these nanostructure attachment sites 184 00:11:41,556 --> 00:11:45,476 Speaker 1: that cells recognize and glom onto, and so there's a 185 00:11:45,476 --> 00:11:48,716 Speaker 1: period of time where the cells attach. Most cells in 186 00:11:48,756 --> 00:11:51,516 Speaker 1: our body are attached to some sort of three dimensional 187 00:11:51,516 --> 00:11:56,356 Speaker 1: matrix and then they start to proliferate. And lay down 188 00:11:56,396 --> 00:12:01,996 Speaker 1: even more matrix. So they proliferate around sevenfold and they 189 00:12:02,076 --> 00:12:05,436 Speaker 1: fill up that porous structure. So even though it was 190 00:12:05,476 --> 00:12:08,676 Speaker 1: porous at the beginning, it looks like bone at the 191 00:12:08,836 --> 00:12:12,516 Speaker 1: end of huh. So you take the puzzle piece, you 192 00:12:12,516 --> 00:12:15,396 Speaker 1: put the puzzle piece into the reactor, and then you 193 00:12:15,476 --> 00:12:18,956 Speaker 1: send the patient stem cells into the reactor and they 194 00:12:18,996 --> 00:12:23,036 Speaker 1: attached to and grow over the puzzle piece in within 195 00:12:23,196 --> 00:12:25,956 Speaker 1: as well, they're filling up the three dimensional YEA, yeah, 196 00:12:25,996 --> 00:12:28,956 Speaker 1: it's not a pancake. It's not a pancake. It's it 197 00:12:28,956 --> 00:12:32,716 Speaker 1: it's like a honeycomb or something. It's really important to 198 00:12:32,756 --> 00:12:34,436 Speaker 1: get the cells in three D. You know, a lot 199 00:12:34,476 --> 00:12:36,196 Speaker 1: of people can grow cells on a Petrie dish, but 200 00:12:36,236 --> 00:12:38,756 Speaker 1: grow cells in three D is a that's a big challenge. 201 00:12:39,396 --> 00:12:43,756 Speaker 1: But we've seen that the bones perform their mechanical duties 202 00:12:45,636 --> 00:12:48,716 Speaker 1: on day one. You know, patients are able to eat, speak, drink, 203 00:12:48,796 --> 00:12:54,556 Speaker 1: all the things that you'd want to do after the break. 204 00:12:54,676 --> 00:12:57,076 Speaker 1: The problems Nina and her teams still have to solve 205 00:12:57,156 --> 00:13:02,076 Speaker 1: to get lab grown bone approved and into widespread use. Also, 206 00:13:02,516 --> 00:13:04,916 Speaker 1: how should we think about the pace of progress in 207 00:13:04,996 --> 00:13:15,756 Speaker 1: tissue engineering and in biotech More broadly. Now back to 208 00:13:15,796 --> 00:13:18,316 Speaker 1: the show. So I want to talk about sort of 209 00:13:18,396 --> 00:13:20,516 Speaker 1: the future and what you're working on next in a minute. 210 00:13:20,316 --> 00:13:23,636 Speaker 1: But before we do that, I mean, you've been in 211 00:13:23,676 --> 00:13:27,156 Speaker 1: the field now for twenty years. Your company has been 212 00:13:27,156 --> 00:13:30,836 Speaker 1: around for nine years, and so tell me about the 213 00:13:30,876 --> 00:13:33,116 Speaker 1: progress of the field in the time you've been in it. 214 00:13:33,116 --> 00:13:34,636 Speaker 1: Tell me about the progress of the field in the 215 00:13:34,636 --> 00:13:37,276 Speaker 1: twenty years. What has what has happened faster than you 216 00:13:37,356 --> 00:13:39,716 Speaker 1: might have expected, what has happened slower? And like where 217 00:13:39,756 --> 00:13:43,716 Speaker 1: are we now? What is happening in tissue engineering right now? 218 00:13:43,956 --> 00:13:48,556 Speaker 1: There was a technology developed for cartilage, cartilage in a 219 00:13:48,596 --> 00:13:53,076 Speaker 1: couple of generations of cartilage, so that's been established as 220 00:13:53,076 --> 00:13:57,396 Speaker 1: like another tissue that can be engineered. There's another company 221 00:13:57,516 --> 00:14:02,156 Speaker 1: called hum Site which makes tissue engineered vasculator. They are 222 00:14:02,516 --> 00:14:08,036 Speaker 1: very close to getting in approved for commercial use. They 223 00:14:08,076 --> 00:14:10,196 Speaker 1: are hope within about a year or so. They're a 224 00:14:10,196 --> 00:14:13,316 Speaker 1: publicly traded company. So so vasculature, Just to be clear, 225 00:14:13,396 --> 00:14:16,596 Speaker 1: like blood vessels, they're making blood vessels. Blood vessels. That 226 00:14:16,796 --> 00:14:19,996 Speaker 1: seems hard. It's hard. Yeah, it's hard. It seems hard. 227 00:14:20,236 --> 00:14:21,876 Speaker 1: You gotta get the tube. It's a tube. I don't 228 00:14:21,876 --> 00:14:23,996 Speaker 1: know why that seems harder to Me's a that. Yeah, 229 00:14:24,036 --> 00:14:26,796 Speaker 1: hollow organs are a step above flat tissue for sure. 230 00:14:27,316 --> 00:14:30,436 Speaker 1: And UM and there's their founder, Laura Nicholson. What she 231 00:14:30,676 --> 00:14:35,116 Speaker 1: learned in growing vasculature was that cells needed flow, not 232 00:14:35,236 --> 00:14:40,276 Speaker 1: just flow of liquid, but pulsatile flow. Be interesting, you're 233 00:14:40,356 --> 00:14:43,276 Speaker 1: moving like pulsatile, like like the way the heart beats. 234 00:14:43,316 --> 00:14:47,356 Speaker 1: And it's not like a river. It's like, yeah, exactly, 235 00:14:47,476 --> 00:14:50,476 Speaker 1: it's not a river. And so that's that was her 236 00:14:50,516 --> 00:14:54,076 Speaker 1: genius discovery. And they are you know, they've treated UM 237 00:14:54,276 --> 00:14:57,236 Speaker 1: soldiers and civilians in the Ukraine who need who need 238 00:14:57,276 --> 00:15:00,836 Speaker 1: blood vessels. UM. They are close to commercials. Has the 239 00:15:00,916 --> 00:15:03,556 Speaker 1: progress of tissue engineering been slower than you would have 240 00:15:03,556 --> 00:15:06,756 Speaker 1: thought twenty years ago? Yeah, I think my notion of 241 00:15:06,836 --> 00:15:10,396 Speaker 1: time was very different following years ago. You know. Now 242 00:15:10,436 --> 00:15:13,676 Speaker 1: I'm like, oh, twenty years okay, that's nothing. A human lifetime, 243 00:15:13,676 --> 00:15:16,076 Speaker 1: that's nothing. You know, what can be done in a 244 00:15:16,116 --> 00:15:18,836 Speaker 1: human lifetime? Not much? You know, that's like more my 245 00:15:18,996 --> 00:15:23,076 Speaker 1: kind of gallows humor. Now, things move slowly, slash wisdom, 246 00:15:23,236 --> 00:15:28,756 Speaker 1: slash wisdom. Yeah, sure, but like yeah, things it's a 247 00:15:28,796 --> 00:15:31,076 Speaker 1: glacial I like to tell people this is like a 248 00:15:31,116 --> 00:15:34,316 Speaker 1: slow motion marathon in a way like this past twenty 249 00:15:34,356 --> 00:15:36,796 Speaker 1: years have you know, blinked and been gone in a heartbeat. 250 00:15:37,196 --> 00:15:40,476 Speaker 1: But yeah, it takes a long time to do things. 251 00:15:40,516 --> 00:15:44,516 Speaker 1: I think I've gotten better at being more honest or 252 00:15:44,636 --> 00:15:47,756 Speaker 1: realistic in terms of estimating how long something's going to take, 253 00:15:47,916 --> 00:15:52,636 Speaker 1: because you can't rush the science. And it's really, you know, interesting, 254 00:15:52,676 --> 00:15:54,596 Speaker 1: you say, oh, it sounds so futuristic. I think a 255 00:15:54,596 --> 00:15:58,396 Speaker 1: lot of people believe that this should happen, and there's 256 00:15:58,516 --> 00:16:00,796 Speaker 1: very few people that have the skill set to make 257 00:16:00,796 --> 00:16:03,476 Speaker 1: it happen. You know, because if you watch science fiction, 258 00:16:03,636 --> 00:16:05,556 Speaker 1: and or if you watch I don't know, even Star 259 00:16:05,596 --> 00:16:09,396 Speaker 1: Wars or the Marvel movies, there's always examples of people 260 00:16:09,556 --> 00:16:14,116 Speaker 1: getting healed with technologies like tissue engineering, so people assume 261 00:16:14,596 --> 00:16:17,676 Speaker 1: that that's going to happen. Like Luke Skywalker got a 262 00:16:17,716 --> 00:16:21,276 Speaker 1: new hand, So why can't I get a new hand totally? Totally? 263 00:16:21,356 --> 00:16:24,876 Speaker 1: Or in Waconda, you know, they just regenerated, or you know, 264 00:16:25,236 --> 00:16:28,836 Speaker 1: there's all these technologies in pop culture. Even in Grey's 265 00:16:28,836 --> 00:16:34,436 Speaker 1: Anatomy they had episodes of tissue engineering. And yet it's 266 00:16:34,756 --> 00:16:39,676 Speaker 1: very hard and it takes a long time. And so 267 00:16:39,756 --> 00:16:42,156 Speaker 1: I'm glad that I've been working on this particular tissue 268 00:16:42,196 --> 00:16:45,996 Speaker 1: because you know, it's been ten years as a company 269 00:16:46,036 --> 00:16:48,636 Speaker 1: and we've brought it to where it's never been before. 270 00:16:49,196 --> 00:16:52,556 Speaker 1: And now the challenges a lot more with a lot 271 00:16:52,596 --> 00:16:55,996 Speaker 1: of that technical de risking behind us. The challenges are 272 00:16:56,076 --> 00:16:58,276 Speaker 1: more or less of will this work in a living 273 00:16:58,316 --> 00:17:01,716 Speaker 1: system and more towards will this work in a clinical setting? 274 00:17:01,836 --> 00:17:05,356 Speaker 1: Will this work in the economy? And I find that 275 00:17:05,396 --> 00:17:08,276 Speaker 1: to be extremely exciting when you say will this work 276 00:17:08,276 --> 00:17:11,236 Speaker 1: in the economy, that's a big interesting question that we 277 00:17:11,276 --> 00:17:13,956 Speaker 1: really haven't talked about yet. So so how do you 278 00:17:13,996 --> 00:17:16,316 Speaker 1: think about that? How how are you approaching that? You know, 279 00:17:16,436 --> 00:17:19,236 Speaker 1: unit cost economics need to work. That's where the biomanufacturing 280 00:17:19,236 --> 00:17:22,436 Speaker 1: comes in. Automation of cell culture is a big driver. 281 00:17:22,716 --> 00:17:25,596 Speaker 1: It's a very artisanal process, you know, using our hand 282 00:17:25,636 --> 00:17:30,356 Speaker 1: pipets and expensive, right, artisanal and hand this that that 283 00:17:30,356 --> 00:17:33,236 Speaker 1: that is expensive, right. I don't want an artisical bone. 284 00:17:33,276 --> 00:17:36,676 Speaker 1: I want to mass producing bone, right yeah, right. Creating 285 00:17:36,716 --> 00:17:40,356 Speaker 1: the infrastructure that allows for automated biomanufacturing is a big 286 00:17:40,356 --> 00:17:42,036 Speaker 1: piece of it. We're not the only ones that need 287 00:17:42,076 --> 00:17:45,156 Speaker 1: to be working on that um But then also I 288 00:17:45,196 --> 00:17:48,996 Speaker 1: think scientifically and clinically being very clever in terms of 289 00:17:49,036 --> 00:17:51,316 Speaker 1: the end points you're measuring in your clinical trials so 290 00:17:51,356 --> 00:17:54,436 Speaker 1: that you can make the economic case. For Look, if 291 00:17:54,436 --> 00:17:57,156 Speaker 1: we're going to give you this piece of tissue, it's 292 00:17:57,196 --> 00:18:00,556 Speaker 1: going to save you surgeries down the line. That is 293 00:18:00,676 --> 00:18:04,276 Speaker 1: very interesting, And like, tell me specifically what that means 294 00:18:04,356 --> 00:18:08,716 Speaker 1: in the case of the of the jawbone easy economic 295 00:18:08,756 --> 00:18:13,516 Speaker 1: cost of avoided. What is the economic cost avoided for evybone? Well, 296 00:18:13,556 --> 00:18:15,316 Speaker 1: if you had evybone, you don't have to do an 297 00:18:15,356 --> 00:18:18,196 Speaker 1: extra hour or half hour of surgical time, you don't 298 00:18:18,276 --> 00:18:20,236 Speaker 1: have to put the patient in the ICU for as 299 00:18:20,316 --> 00:18:23,476 Speaker 1: much time for recovery. What those all are very easily 300 00:18:23,556 --> 00:18:28,596 Speaker 1: calculatable costs. So so that economic case is as important 301 00:18:28,716 --> 00:18:33,116 Speaker 1: to me as as the clinical case. So if things 302 00:18:33,156 --> 00:18:36,796 Speaker 1: go well, when do you think you might actually be 303 00:18:36,916 --> 00:18:42,396 Speaker 1: approved and out in the world twenty six, twenty seven? Okay, yeah, 304 00:18:42,476 --> 00:18:43,956 Speaker 1: not crazy if you had at maut a future but 305 00:18:43,996 --> 00:18:46,716 Speaker 1: a while yet. So for some people that's forever. For 306 00:18:46,756 --> 00:18:49,596 Speaker 1: some people they're like, oh, that's pretty soon. I wonder 307 00:18:49,676 --> 00:18:54,836 Speaker 1: if the sort of absurd rate of development of basically 308 00:18:54,876 --> 00:18:58,716 Speaker 1: semiconductors right, basically if Moore's law, and the development of 309 00:18:58,716 --> 00:19:02,236 Speaker 1: computer technology has messed up our sense of the rate 310 00:19:02,276 --> 00:19:04,956 Speaker 1: of technological development. Like if we have come to expect 311 00:19:04,996 --> 00:19:07,396 Speaker 1: so funny that you brought up law, Well, you were 312 00:19:07,436 --> 00:19:10,036 Speaker 1: an electrical engineer, so you know than I do. Yes. 313 00:19:10,756 --> 00:19:16,116 Speaker 1: So in biotech there's a joke called e Room's law, 314 00:19:16,756 --> 00:19:20,716 Speaker 1: which is if you spell more backwards, what do you get? 315 00:19:20,756 --> 00:19:24,716 Speaker 1: Because we're sort of the opposite of that, it gets 316 00:19:24,756 --> 00:19:28,996 Speaker 1: twice as expensive and twice as slow every year. Yeah, 317 00:19:28,996 --> 00:19:32,436 Speaker 1: and the FDA is backlogged and there's just been so 318 00:19:32,716 --> 00:19:37,476 Speaker 1: few approvals over time, it's really gone down. So I 319 00:19:37,516 --> 00:19:42,276 Speaker 1: think everyone understands that no one wants to hurt people 320 00:19:42,756 --> 00:19:44,916 Speaker 1: from a regulatory standpoint, no one. They don't want to 321 00:19:44,956 --> 00:19:48,156 Speaker 1: hurt people. Entrepreneurs and companies, we don't want to hurt people. 322 00:19:48,596 --> 00:19:51,236 Speaker 1: But there's a risk benefit to you know, if you 323 00:19:51,276 --> 00:19:54,636 Speaker 1: if you hold back innovation, sure fewer people will get hurt, 324 00:19:54,676 --> 00:19:57,436 Speaker 1: but also a fewer people will will get these breakthrough treatments. 325 00:19:57,636 --> 00:20:00,516 Speaker 1: There's regulation, and that's clearly important, but I feel like 326 00:20:00,556 --> 00:20:03,996 Speaker 1: also the body is just super complicated. Like I feel like, 327 00:20:04,076 --> 00:20:09,436 Speaker 1: even independent of regulatory bottlenecks, it's just very hard problems 328 00:20:09,996 --> 00:20:12,436 Speaker 1: it's hard, but it does feel like, well, I'm climbing 329 00:20:12,436 --> 00:20:15,276 Speaker 1: a mountain that's worth climbing, and you know we'll get there. 330 00:20:18,676 --> 00:20:20,396 Speaker 1: We'll be back in a minute with the lightning round, 331 00:20:20,836 --> 00:20:33,596 Speaker 1: including a very compelling argument that ourselves are intelligent. Okay, 332 00:20:33,636 --> 00:20:35,676 Speaker 1: that's the end of the ads. Now it's done for 333 00:20:35,676 --> 00:20:38,556 Speaker 1: the Lightning round. What's one tip for finding a mentor? 334 00:20:39,756 --> 00:20:44,956 Speaker 1: M who's your professional crush finding? I'm run, sure, yeah, 335 00:20:44,996 --> 00:20:48,836 Speaker 1: you're professional crush. That's that's how that's Identifying a mentor 336 00:20:48,916 --> 00:20:50,996 Speaker 1: is like, who do you have a crush? How do 337 00:20:51,036 --> 00:20:53,316 Speaker 1: you find a mentor? How do you find a mentor? 338 00:20:53,636 --> 00:20:55,756 Speaker 1: Here's my answer. Good people lead you to good people. 339 00:20:56,556 --> 00:21:00,716 Speaker 1: I like all of those answers. As a former McKinsey consultant, 340 00:21:00,796 --> 00:21:06,556 Speaker 1: do you think McKinsey is overrated or underrated? I think 341 00:21:07,716 --> 00:21:13,276 Speaker 1: I think neither appropriately rated. They're appropriately powerful. I mean, 342 00:21:13,316 --> 00:21:17,076 Speaker 1: they do good work and they're full of very earnest people, 343 00:21:17,596 --> 00:21:19,596 Speaker 1: and my goodness, do they know how to make a 344 00:21:19,596 --> 00:21:24,316 Speaker 1: two by two matrix out of any problem? Um? Good? 345 00:21:26,636 --> 00:21:31,156 Speaker 1: I like broken down to do a two by matrix? Um. 346 00:21:31,676 --> 00:21:34,836 Speaker 1: What's been the most surprising thing about running a company? 347 00:21:35,596 --> 00:21:41,396 Speaker 1: I think, how much your psychology gets amplified. You know, 348 00:21:41,556 --> 00:21:44,436 Speaker 1: just think how much of the company is a mirror, 349 00:21:45,036 --> 00:21:48,116 Speaker 1: and if I'm having a bad day, it amplifies to 350 00:21:48,196 --> 00:21:50,676 Speaker 1: the team. It just makes me have to just really 351 00:21:50,676 --> 00:21:55,716 Speaker 1: take my own mental health and really seriously. Downward dog 352 00:21:55,796 --> 00:22:00,876 Speaker 1: or Warrior one, Oh, down dog? I think I love them? Well, yeah, 353 00:22:00,876 --> 00:22:05,956 Speaker 1: Warrior one, I'd say Warrior two. Okay, good, I love yoga. 354 00:22:05,956 --> 00:22:07,996 Speaker 1: I could talk about that for a long time. What 355 00:22:08,116 --> 00:22:10,956 Speaker 1: do you understand about human body that most people don't 356 00:22:12,236 --> 00:22:17,116 Speaker 1: That sells are intelligent all of our selves. Intelligence isn't 357 00:22:17,196 --> 00:22:20,036 Speaker 1: only in the brain. Intelligence is everywhere in the body, 358 00:22:20,236 --> 00:22:24,556 Speaker 1: at the cellular level. What do you mean by that, Well, 359 00:22:24,596 --> 00:22:27,476 Speaker 1: we tend to think of intelligence as being in our brain, 360 00:22:27,956 --> 00:22:30,756 Speaker 1: and that places like our heart are dumb. It's a 361 00:22:30,836 --> 00:22:33,596 Speaker 1: dumb pump that listens to the brain. But the heart 362 00:22:33,636 --> 00:22:35,956 Speaker 1: is thinking on its own. It's making a lot of 363 00:22:35,996 --> 00:22:39,676 Speaker 1: decisions about how much blood to pump and send signals 364 00:22:39,756 --> 00:22:42,156 Speaker 1: up to the brain, but also does plenty of thinking 365 00:22:42,156 --> 00:22:45,756 Speaker 1: on its own. The eye isn't just a camera. The 366 00:22:45,916 --> 00:22:51,436 Speaker 1: eye contains a lot of decision making processes about what 367 00:22:51,476 --> 00:22:54,236 Speaker 1: we're seeing before even sending the image up to the brain. 368 00:22:54,476 --> 00:22:58,956 Speaker 1: The optic nerve is the largest amount of data compression 369 00:22:59,076 --> 00:23:03,436 Speaker 1: known in biology. So intelligence is distributed throughout the body. 370 00:23:03,436 --> 00:23:05,116 Speaker 1: And I don't think a lot of people think that, 371 00:23:05,236 --> 00:23:09,396 Speaker 1: but I know that, and I love that about the body. 372 00:23:09,436 --> 00:23:11,516 Speaker 1: It makes me, It makes living in a body fun 373 00:23:11,676 --> 00:23:20,516 Speaker 1: for me. Nina Tandon is the co founder and CEO 374 00:23:20,716 --> 00:23:25,356 Speaker 1: of EPIBOE. Today's show was produced by Edith Russolo, edited 375 00:23:25,396 --> 00:23:29,556 Speaker 1: by Sarah Knicks, and engineered by Amanda kay Wong. I'm 376 00:23:29,636 --> 00:23:32,876 Speaker 1: Jacob Boldstein and just one last quick note. We're going 377 00:23:32,916 --> 00:23:35,036 Speaker 1: to be off for the next couple of weeks and 378 00:23:35,156 --> 00:23:38,916 Speaker 1: we'll be back with a new episode on Thursday, April twentieth,