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Mammoth Biosciences CEO on Business Outlook
Bloomberg
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6 weeks ago
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00:00
Trevor, good to have you with us. We've been talking about AI and the sell-off in the markets.
00:04
How widely used is AI in your space? Yeah, I think it's very widely used. I think a lot of the focus
00:09
though is on what we call pre-clinical works. That's developing new drugs. I think it's really
00:13
cool, really exciting. But I think a lot of the impact will actually be on the clinical side.
00:18
So how do you actually run clinical trials faster? How do you get more drugs actually
00:21
into market, into hospitals, into people and improving their lives? It is about transformation,
00:26
right? When you talk about AI, people talk about how AI will transform. How will AI transform
00:32
your research, the area that you're involved in? Well, I think that's why AI and bio is so exciting
00:38
is that it's not another chatbot, right? It's actually something where we can generate something
00:42
physical, something that improves people's health using technologies like AI. So I think one of the
00:47
under-talked about ways that that's going to happen is that if you're running a clinical trial, you're
00:51
spending seven years, 800 plus million dollars. And that's something where there's tons of
00:56
paperwork. There's tons of things that LLMs are already good at, that these generative models
01:00
are already good at. So can we apply those to clinical trials to make those much faster,
01:03
much more efficient, and hopefully at the end of the day, result in more drugs that help people?
01:07
What will they be able to do in the future that they can't do right now? What are we
01:11
underestimating? Yeah, I think we're underestimating a couple of things. I think, first of all,
01:15
the number of drugs that we could actually run through clinical trials. And I think that's
01:19
important because especially with now generative models from AI, like what we use at Mammoth Biosciences
01:25
to generate new types of CRISPR technologies, I think being able to take even more of those and
01:30
kind of putting them through that clinical trial pipeline will inevitably result in more drugs that
01:34
help people and save lives. You talk about clinical trials. Are you anticipating that perhaps Asia
01:41
could be the space for it? So I think that's an interesting point because if you looked a couple
01:44
years ago, I think it's something like 25% of clinical trials were in China. If you look today,
01:49
I think it's something like 50%. I think if current trends continue a couple of years from now,
01:53
probably be 75%, 80% plus. And that's both a challenge and an opportunity, let's say,
01:59
for countries like the United States, because I think we really are seeding a lot of that
02:03
biotech ground to other countries, in China in particular. And I think that's something where
02:07
we're kind of sleepwalking into it. I think this happened in other fields like semiconductors,
02:11
energy, and now we're trying to claw it back in different ways. And I think that's an area where
02:16
there really does have to be some real thinking about how do we think about clinical trials in the U.S.? How do we think
02:20
about research funding for biotech in the U.S.? If we want to reverse that trend, because if things
02:25
just stay on their current trajectories, China's going to be the biotech leader, not the U.S.
02:28
But what does China have that the U.S. doesn't right now that's allowing it to grow at that pace
02:34
pretty aggressive? I think it's a combination of things. I think, first of all, it's a more
02:37
permissive regulatory environment. And that doesn't mean we have to replicate that in the U.S.
02:41
maybe it's too permissive, but it exists. Second, I think it's a massive amount of funding for certain
02:46
deep tech sectors. That's kind of a risk benefit of governments like China, is that they can back
02:52
up the dump truck of cash in sectors that are important to them. And biotech's important.
02:55
I don't think we've really made the decision on that in the U.S. yet. I think it should be important.
02:59
I think that we should be building lots and lots of medicines that save lives in the United States at
03:04
every part of the spectrum. And then third, the U.S.' superpower was that the smartest people on
03:09
earth come to the United States. They get educated there. They stay there. They found companies.
03:13
We still are the leader in that by far. But I think that's something that we take for granted.
03:18
And we really, really, really should focus on how to make sure that people who are the best students
03:23
around the world stay in the United States, because I can tell you that's the most frustrating thing to
03:26
every country on earth, is that they want to found companies in the U.S. and how to make that as easy
03:30
as possible. The problem is the Trump administration is actually putting a lid on the talent from
03:35
overseas and also in terms of student presence in the universities. Might that play against
03:41
the U.S.? How might that impact the industry?
03:44
I think that's where you have to think carefully about these policies, because if we really are
03:47
putting America first and we're trying to make America the country that has the forefront of
03:52
AI research, biotech research, semiconductor research, that's going to be coming from people
03:57
all over the world. And how do we make them want to come here, want to stay here, want to bring
04:02
their families here? I think that's something that really would benefit from us being very
04:06
focused on. And I think it's something that will really make America continue to be the
04:11
kind of beacon on the hill for the rest of the planet.
04:13
You pointed to the permissive environment in China. What's the downside to that? What have
04:17
you seen that could be of concern to you?
04:20
So clinical trials are always a risk reward benefit. On one end of the spectrum, you can approve
04:25
nothing. And then, of course, you'll never have a drug that has any sort of risk. And on the other
04:28
hand, you could not have any sort of regulatory environment. And then you'd have snake oil and
04:32
just people dying from various diseases. So I think that the job of regulatory agencies is to
04:38
really find the societal balance between those. And I think that historically, we've done a very good
04:43
job in the United States of making sure that we're approving very safe and effective drugs.
04:47
And for biotech companies like Mamek, that's actually a deal. Like, we want there to be strong
04:52
regulators, because that's how you prevent snake oil and drugs that are going to harm people from coming
04:56
into the market. Because it's very expensive and time consuming to build a drug. So you want there
05:00
to really be a bar saying, this has to be safe and efficacious to actually get approval. Now,
05:05
that being said, how do we make sure that good drugs don't get stuck in the process and that you can
05:10
actually, at reasonable costs, do those initial tests? And if something's safe, see if it's
05:16
efficacious as well. And I think there's a lot of creative ideas that people have for how to do that.
05:19
And I think there's a really interesting opportunity in the current moment of time that I think is
05:23
being grasped even today on how do we implement certain versions of that so that maybe we don't
05:29
have the Chinese system, but we can kind of tune the US system so it has an even better risk benefit
05:35
to it. Genetic diseases, you're pretty optimistic that they can be cured within 10 years.
05:41
Why is that? Yeah, I think we're rapidly approaching the point where we're going to have the technology
05:45
staff so that for a given genetic disease, we actually have a path on how we could cure it,
05:50
which is an amazing statement. I think the task before us becomes, A, making sure we actually
05:55
execute on that over the next 10 years, and B, what order do we work on all these diseases in?
06:02
How do we prioritize them? Even for one company like Mammoth to do hundreds of drugs, that's a
06:06
tall order, let alone multiple companies doing thousands of drugs. How do we think about what
06:11
are the diseases that should come first in that priority stack? And then also, we have to think
06:15
about this is a new model of healthcare. How do we want to pay for this? This is something where
06:20
with CRISPR and what we're building at Mammoth, it's a one-time permanent cure. So you literally
06:24
go into the doctor's office, you get a single injection, and then the promise of the technology
06:29
so that for the rest of your life, you're truly cured of that disease. So that's a very different
06:32
way of thinking about the healthcare system in general. So we have to think about how the healthcare
06:36
system will look in a world that has these types of drugs.
06:38
All right, so what breakthroughs, what milestones, what timelines should we be looking at?
06:44
Yeah, so I think what's really exciting is that already today, for the CRISPR technology,
06:48
there's an approved therapy in the U.S. for sickle cell disease. So it's a very sci-fi concept,
06:52
but it already exists. And I think what's exciting is you're seeing a lot of what we call liver-based
06:57
diseases that are having clinical trials for genetic cures, and I think many of those will be successful.
07:03
And then one of the areas that we're especially pioneering at Mammoth is how do you then move beyond
07:07
blood and liver and go to muscle and brain? When you think of genetic disease, you probably think
07:11
of like Alzheimer's and Parkinson's and Huntington's. How do we actually, how do we deliver on the promise
07:15
of genetic medicine? And fundamentally what drives us at Mammoth is this idea of your genetics should
07:21
not be your destiny. Like you should not have to play the cards that you're dealt at birth.
07:25
And I think that's an amazing world that we can actually live in within our lifetime.
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