Insight Exchange by LEK Consulting facilitates the exchange of insights in the business world. The episode discusses the biopharma industry trends for 2024, covering market correction, drug pricing legislation, AI in drug discovery, and advanced modalities. Key points include the challenges in financing and M&A, impact of drug pricing laws, leveraging AI across the pharma value chain, and adopting digital tools for commercial strategies. The discussion highlights potential for larger M&A deals, political influences on drug pricing reforms, and the transformative potential of AI in drug discovery and operational efficiency. Companies are advised to adapt to new digital capabilities for personalized customer engagement and optimize business processes to leverage the evolving technology landscape in the industry.
Transcription
5155 Words, 30323 Characters
Welcome to Insight Exchange, presented by LEK Consulting, a global strategy consultancy
that helps business leaders seize competitive advantage and amplify growth.
Insight Exchange is our forum dedicated to the free, open, and unbiased exchange of the
insights and ideas that are driving business into the future.
We exchange insights with the brightest minds of the day, the most daring innovators and
the doers who are right now rebuilding the world around us.
Welcome to Insight Exchange, I'm Jenny Mackey, Director of LEK's Healthcare Insight Center.
In this episode, we'll look ahead to the key trends and challenges shaping the biopharma
industry in 2024.
First, we'll discuss the continued biopharma market correction and its implications for
fundraising and M&A.
Then, we'll talk about new drug pricing legislation, including what we'll learn this year from
the IRA's continued rollout, along with what the potential PBM legislation could mean for
the industry.
Next, we'll discuss artificial intelligence, both its transformative potential and drug
discovery as well as other applications for operational efficiency.
We'll also talk about how commercial leaders are leveraging new technologies as part of
a digital-to approach to sales and marketing.
Lastly, we'll turn to the advanced modality pipeline and review some key potential developments
in cell therapy, gene therapy, and other advanced modalities.
To provide their perspectives on these topics, I am joined by three partners in our biopharma
practice, Peter Rosenhorn, Alex Gooth, and Matt Mancuso.
Would you please each take a moment to introduce yourselves?
Sure.
Thank you, Jenny.
Hi, I'm Peter Rosenhorn, a partner in our Boston office.
I'm Alex Gooth, partner in our Boston office and a leader of our pricing and market access
practice.
And I'm Matt Mancuso, a partner in our Boston office and a leader in our innovation and
biopharma practice.
Thank you all for being here.
So to start out, as we all know, the biotech capital market is in a correction period.
Peter, how is that influencing financing and M&A in 2024?
Yeah, I mean, to start, you're absolutely right.
We are still in a correction.
The S&P biotech index is down about 60% compared to its height in 2021.
And the last time we saw that was all the way back in the early 2000s.
And at that time, it took us almost 10 years to get back to normal.
So you're asking, what does that mean?
Well, the good news is that if you have good clinical data, you can still get funding.
Now, it may take a little longer, investors now are looking for proof of concept more
than they have just a couple of years ago.
And if you look at the different sources of funding, BC is pretty much back to where it
was before the pandemic, but the IPO market is still down dramatically.
Some people are starting to look even at SPE, but otherwise it's more alternative fundings
like royalty monetization, maybe pipes, other things like that.
So net nets, it's not an easy situation and something everybody will have to keep an eye
on.
That's for sure.
Absolutely, Peter.
I mean, ultimately, based on the financing dynamics you mentioned, a lot of biotechs may
be looking toward M&A for their next value inflection point for a few reasons.
Starting now with, there's a lot of dry powder out there, larger biopharma firms are searching
for compelling dealmaking opportunities and a recent Stifle report estimated that amongst
the top 16 large pharma, there was at least 500 billion in dealmaking firepower to be
deployed.
Caldery this, there's the limited supply of relevant M&A targets left.
There's been high level of dealmaking.
There are a number of smaller organizations whose boards are still really locked in to
pre-correction valuation and hesitant to pursue acquisition at these values.
And then additionally, the supply is below or at top of the funnel, market conditions
have depressed new biotech company formation and IPOs are well below pre-pandemic levels,
which is limiting the overall pool of acquisition targets out there.
Yeah, I agree with all of that, Alex, but how do you think about the possibility of larger
deals taking place?
I know we're recording this a little in advance, but you know, just this morning, Pfizer-CGEN
announced that it was completely closed.
We saw last week two big purchases from AVI between Cerebell and Immutogen, both for like
10 billion each.
Do you think we'll see larger deals or any more merger looking transactions?
Yeah, I think that's something we're all looking for and it's certainly possible that
we see some consolidation in the industry with real scale multiplying M&A.
If you look at the spread and market cap between the largest and the smallest of those top 10
pharma, it's grown wider ever before.
It's becoming harder and harder for what was once larger pharma companies to compete at
a scale with this emerging class of mega pharma, companies with $200 billion market caps.
So instead of smaller bolt-on transactions, many larger biopharma are turning toward
even greater and larger deals to navigate some of the challenges they're facing, including
some really substantial looming revenue gaps that a number of companies are anticipating
at the end of the decade due to some patent clips for blockbusters as well as the impact
to the IRA.
Thanks, Alex, Peter and Matt. Definitely a lot to watch out for on the financing front.
Now, Alex, we know obviously in the last year and a half, there's been a lot of movement
on the pricing and market access front, especially in the US.
What are you looking forward towards for 2024?
Well, obviously, everyone is closely monitoring the next steps for the Evaluation Reduction
Act, the IRA, and next year is going to be a big year.
First and foremost, the maximum fair price or the MFP for the first 10 drugs that were
selected for Medicare negotiation last year will be announced in September of 2024.
So the stakeholders across the industry are going to be closely watching for that initial
MFP publication to understand the degree to which CMS will exercise its option to negotiate
for greater than mandated discounts.
As you may know, the IRA specifies a ceiling that these negotiated prices may reach but
not a floor.
So there remains a lot of uncertainty around the degree to which CMS may push for even
lower pricing and we're likely to not have insight into that until the second half of
next year.
Now, when we get those published prices in September, what we won't be seeing is the
rationale and what data has driven that decision making.
But even so, we anticipate that when those prices come out, we're going to be able to
gain some insights into what are the key drivers of that negotiated price from CMS.
Beyond that, the other big thrust of change is in the judicial realm.
There are multiple ongoing lawsuits from the majority of companies with agents that are
set for negotiation.
These lawsuits are challenging the price negotiation provisions, constitutionality across a number
of fronts and judicial resolution isn't likely until well into next year.
And beyond that, there's also the presidential election coming up.
That's right, Jenny.
The election adds a great deal of uncertainty on top of a lot of questions about IRA implementation
that already exist.
So our expectation is that while Democrats remain in power in 2024 holding both the presidency
and the Senate, we're not anticipating any significant revision to the IRA laws during
that time.
However, there is a possibility we will see a legislative revision if Republicans take
power in 2024 in the elections.
As background, Republicans universally voted against the IRA when it was first passed in
2022.
And so we may see significant repeal where they to take power.
One complicating factor though is that Donald Trump, who at the moment is the front runner
for the Republican presidential nomination, has actually been quite aggressive in discussing
drug pricing in the past.
Previously, he's taken a strong stance on lowering pharma prices and has been supportive
of Medicare drug price negotiation.
And so it remains unclear if he were to take the presidency and Republicans take the legislature,
whether there would in fact be any changes to the IRA's pricing negotiation components.
Thanks Alex.
It really doesn't feel like either side of the political aisle is on the side of pharma
on this issue.
Before we even get to the election, can you talk to me a little bit about the changes
we may see in the interim?
I know there's some talk about reforms to how pharmacy benefit managers operate.
There's also something going on with threats to pharma patents and what that could all look
like.
Are we able to elaborate on either of those issues?
Yeah, happy to talk about that.
So we've seen some real strong momentum toward addressing particularly the topic of pharmacy
benefit managers or PBMs in the back half of this year that's likely to carry through
to next year.
So both the House and Senate have bills that have been proposed calling for greater PBM
transparency on the rebates they're receiving and potentially restricting a number of elements
related to the PBM business model today including spread pricing and pharmacy clawback fees.
The House and Senate are both moving forward with these bills, so it's likely that we're
going to see them at least come up for voting consideration this year.
If they do pass, one of the things we anticipate is that if this legislation is passed, it
may lead to reduction in the gross to net bubble that we see today and also better help
align PBM incentives with health care cost reduction generally.
Thanks so much for that, Alex.
The last couple of years have certainly been more active from drug pricing reform than before
and there's a lot that could continue to evolve in 2024.
So definitely critical to monitor and companies need to be thinking about how this might impact
their strategy.
Now so far we've covered some headwinds facing biopharma in 2024, but there's a lot of exciting
new technologies that are impacting the industry.
Things like artificial intelligence, advanced modalities that are creating new growth opportunities.
So to begin with Matt, how is artificial intelligence going to impact the biopharma industry in 2024?
Yeah, you've got it, Jenny.
For every policy headwind we're facing, we have some bit of innovation and techno capitalist
development helping improve things and one of the big stories of this year and indeed
next year will be what's going on in AI driven drug discovery.
And it's not just drug discovery, but it's really all parts of the pharma value chain
and organization and how they'll be updated and evolved given these new technologies.
If we start on drug discovery specifically, in the last year we've seen a lot of advances
both in generative AI and all the hype that's come out of the GPT models as well as just
other machine learning technologies and we're really starting to see an expansion in the
repertoire of drugs in our arsenal and we'll see what happens in 2024, but there really
are a lot of notable readouts coming out.
You have in silico medicine, relay therapeutics, probably a number of others and if we start
seeing real signals here, I think it just helps validate the technology and what computers
could do for drug discovery.
Yeah, so Matt, we clearly see it in discovery.
You mentioned it's also in other parts of the value chain.
Could you speak a little bit more to that?
Yeah, of course, Peter.
I mean, this is a topic that really is at the intersection of what you and I do, you
organizationally and me, from an innovation perspective, but it's really across all functions
and pharma companies that we're seeing various AI technologies being rolled out.
From some big pharmas we're seeing announcements in the clinical side of things in terms of
trial designs and protocols, patient monitoring and all of the things that go on there.
We're seeing this in branded drugs, we're seeing it in generics too, where a significant
number of regulatory documents are involved.
If you kind of think about the types of changes AI will bring on, on the drug discovery side
of things, we may see some really transformational change, we may see a new paradigm in how we
do high throughput drug discovery and new molecules come out.
But if we look at other functions, there's a significant amount of operational improvement
we may realize as well, so again, clinical trial designs I've spoken about a little,
but manufacturing and supply chains can be optimized.
Even more corporate functions, competitive intelligence and strategy and portfolio planning
are all places where we can see significant innovation going forward.
Last and not least is commercial where we can continue to think about how we optimize
and deliver products to healthcare practitioners and how we introduce and explain our offerings.
There are challenges, we'll see them across both the operational and transformational
side of things here, but 2024 will be a big year to see some of the early signs and signals
of if this is going to be real or not.
Matt, if I can just add one comment around manufacturing supply chain, because I know
we often talk about AI and discovery, we talk a lot about what you can do with the commercial,
we'll get back to that a little bit, but an area where I think there is a tremendous
opportunity is really within manufacturing and supply chain, both to design and in a
more optimal way run those very complex systems.
So curious to see how that plays out in '24 and maybe you have some additional to add
to that as we get into the year.
I find that space very interesting, Peter.
I think one of the reasons that discovery often looks so transformational is because
of the large amounts of data that they already collect and work with.
And I'm very interested to see in manufacturing and supply chain where there's also a significant
amount of data, how that could be deployed, but also how these complex supply chains can
collect more data, I'm thinking internet of things type technologies so that they can
better utilize AI for their own planning, whether it's on the manufacturing side or
supply side going forward.
Thank you, Matt and Peter for that insight on AI.
Another important topic for next year is continued evolution in commercial models.
We've heard a lot during the pandemic about how digital technologies have really helped
continue the conversation with physicians amid restrictions on in-person interaction
and post-pandemic we are seeing companies reinvesting in those in-person interactions
with physicians.
Peter, how are commercial leaders leveraging the new technologies in order to balance the
in-person approaches that we're seeing come back with the benefits of digital?
Yes, it's very interesting.
And before we talk about 24, I just want to pick up what you said about the pandemic.
Because the pandemic was a huge experiment, a complete paradigm shift from a lot of in-person
we were dabbling into digital and suddenly everything was virtual.
But as you pointed out, you're now seeing almost 8 out of 10 interactions being back
to being in-person.
So as we go into 2024, of course, all these advances in technology will continue to be
important, but it's much more of a digital too as opposed to digital first.
So specifically, what we are talking about is with all these investments that companies
need to think both about the field force, but also their back office.
And if we just start with the field force, some of the more savvy companies, they are
upskilling their sales representatives and other customer-facing roles to think about
digital and almost profile their customers from a digital footprint perspective and customize
how they engage accordingly.
So that's definitely one thing to keep in mind how that evolves.
Yeah, Peter, can you talk a little more about that?
I was on site with a client just yesterday and they were telling me about all of the
changes that are going on in their commercial org and how much they're being pushed towards
a more digital approach going forward.
How should companies be thinking about this and how should we be advising companies to
position themselves best for these new digital capabilities?
Great question.
I think the first is to just get a handle of what some of these technologies are and
then think about all the implications that has, again, not just for the people that are
directly customer-facing, but also the back office.
So some of the tools that you may have heard about in your discussions are things like
single customer views, where you can further customize based on the signals and insights
preferences from the individual customer.
And that allow you to much better reuse more modular content on a one-on-one basis.
And you may also have heard about next best action, which is really deploying the analytical
capabilities we have now to almost calculate the next best thing you should be doing.
Another tool or approach you may have heard about is serial-party data analytics, where
we collect data directly about our customers and use that to better understand what the
preferences are and how we should engage with them.
Peter, before we move on from this topic, can you help me understand how real some of
this is and what the goals of it all are?
Like, are we trying to reduce our cycle times in commercial?
Are we trying to reduce our resource requirements in commercial?
What?
What are all these digital tools building towards?
I think all of the above.
To take your first question, is it real?
Well, the individual tools are real.
The challenge is how do you tie it all together?
If you effectively can capture the data, clean the data, integrate the data, and make decisions
based on the data, the idea is that that will allow you to then in a more customized manner
deliver messages.
So it means I can engage with you with the things that are important to you in a way
that you are more receptive to.
And that means the idea is that the cost of delivering impactful messages goes down compared
to more traditional mass communications.
So that's the idea.
So you think this is real, Peter, that this is really going to work and change things
for how commercial organizations are operating?
How should we be advising companies to position themselves, or maybe more importantly, how
should companies be positioning themselves to take advantage of all these digital offerings?
Yeah, again, the tools are there to make it real.
And I think companies need to look very hard at their business-inside analytics teams and
make sure that they are off-skilled and appreciate the complexities of these tools and how they
work together.
So that's one area.
Because again, the requirements to managing and analyzing all this data is different from
the old days, which is just a year or two or three or four ago.
So that's one important part.
The other is the medical, legal, regulatory review process.
And anyone that's been part of getting promotional materials ready to go to the field will know
how that can be time-consuming and require a lot of adjustments.
So if you now want to be much faster and much more customized, you will fundamentally have
to change how that process takes place, right?
So you can have more modular things approved, and you can have freedom to adjust how that
gets delivered.
But that will, for many companies, mean changing how you've been operating these things for
a long time.
And then, thirdly, it does require that your front line, your customer-facing employees
not only appreciate the support and the guidance they can get to customizing, but also have
a certain level of digital saveness in order to fully utilize these systems.
So again, if you go back 15, 20 years when we started having CRM systems and the challenges
of getting that implemented, you're looking at the next generation of technology implementation
challenges from a commercial standpoint.
But again, we have tools now we did not have, and the good companies are implementing this,
and everybody should look at what the model is and determine how best to harness and integrate
digital.
It's not going to be all digital, as we are seeing, but fundamentally having people on
the ground, having people communicate is critical, but we want to make sure that we use technology
in the best possible way.
So again, at the end of the day, we get the right message to the right customers at the
right time in a way that they prefer.
Peter, on that last point, can you help me better understand where this is realist and
where this is least real in markets?
So I guess I'm trying to understand a little bit of, is this more true in some countries
than other in some situations like new launchers versus mature products?
Where are these tools having the biggest impact today?
Considering that this requires a lot of data, I mean, you're asking about different markets.
I mean, a country like the US is obviously better positioned to utilize some of these
tools for a couple of reasons.
One in the US, we have access to a lot more data than we have in most other markets, and
we have the opportunity to communicate directly to consumers and patients in ways we don't
have in other markets.
So the interplay of channels and data is greater.
We also generally have larger budgets.
So from a market perspective, I would say more US.
In terms of sort of diseases, modalities, and lifecycle stage, which I think was your sort
of other question, you could argue that the larger the market, the more data, the more
people to influence, the more money almost at stake, the more relevant.
So to contrast it, if you're launching a first rare disease treatment that is a significant
improvement, of course, you can do some of these things, and you may still want to deploy
it for, say, patient finding.
But in terms of physician interaction and communication, it may be less important.
So those would just be a couple of examples.
Thanks, Peter.
Makes sense.
Thanks, Peter.
It's definitely clear there's a lot of promise here from these technologies, and there's
a lot of opportunities for pharma, but there's a lot that needs to be done to get the most
out of all of them.
So to transition, we've been discussing quite a number of trends, but one thing we haven't
talked about yet is the pipeline.
Last, but certainly not least, wanted to touch upon developments in the advanced modality
pipeline.
There's a lot to discuss here, but, Matt, could you maybe start with your thoughts on
cell therapy?
What are some of the developments you're looking ahead to this year?
Yeah, there is a lot to talk about here.
I'll try and keep it brief for the purpose of this conversation, and folks can review
the article we're putting out for additional information.
I think, Jenny, maybe three buckets of innovation to talk about in cell therapy.
We've obviously seen tremendous outcomes for patients in hematology with the first
generation of autologous therapies, and I'm really looking forward next year to hopefully
see some data on allogeneic cell therapies as we start seeing some of the large B cell
lymphoma trials begin to read out.
If we could get that right, we could really fix a lot of the manufacturing and COGS problems
and just make these technologies more accessible for patients.
So that's one on the hematology side.
Two is solid oncology.
Despite all of the promise, data and real change in solid oncology via cell therapies
has been a lot more limited, and with new classes like all of the TCR-based therapies
and NK-based therapies advancing, some of them have phase two readouts coming up, and I'm
really excited to see in the next few quarters what we start seeing from all of these players.
The third area, and this one's a little bit of a back and forth given the recent FDA action,
is the autoimmune space.
Up until a few weeks ago, the space was looking incredibly promising as it's been nothing
but great responses from patients as we take these early B cell-targeted cell therapies
and use them in immune diseases, SLE most notably.
I mean, the early cases have really been showing durable, complete remissions.
There are now dozens of companies pursuing the space, and it's really ripe for innovation.
If we rewind just a few weeks, though, the FDA reported some investigations in the secondary
T cell malignancies following treatment with the existing CD-19 and BCMA CAR-T therapies.
They're up to 19 or so cases at the time of the report they put out, and in hematology,
the risk reward looks very clear, that for the benefit these patients are getting the
risk of secondary T cell malignancies, where the engineering we're performing to these
cells is actually causing a secondary cancer, is well worth the risk.
I think it'll play out similarly in immunology.
The need for some of these patients is so high, I mean, severe lupus patients are so
severe that it may look like hematology, but the story is a lot more muddled now of if
the trade-off of those secondary risks are really worth the reward.
It'll be an interesting year for cell therapy next year as we kind of see all of this play
out, the new efficacy signals across areas, as well as the challenge of these secondary
malignancies.
Agreed, Matt, it was really a disappointing setback for the cell therapy market that news
on the malignancies, and we'll be closely monitoring the FDA investigation well into
next year.
What are your perspectives on gene therapy in 2024?
Yeah, I'm excited to see where the FDA investigation goes.
I'm optimistic that the number of cases is still low versus the number of patients who
have benefited, and we have a lot of new tools we could use in next-gen cell therapies.
Fingers crossed, the setback is small.
If we're talking about gene therapy in the case of in vivo gene therapies, it should be
an exciting year there, too.
I mean, advanced biologics are really having a good moment right now.
I think the key for next year is that gene therapy developers really need to show that
they can translate some of the exciting science we've been talking about for so long into
commercial success.
With the exception of one gene therapy, most of the approved ones have really struggled
to live up to their forecast to date.
It'll be really interesting to track the real-world evidence that continues to come out and see
how these past drugs are performing, as well as what happens with the recent launches.
If you think of what's happening with Zolgensma, we're seeing that the one-time dosing guarantee
isn't necessarily clear.
I think we're hearing somewhere in the order of 20% to almost 1 in 3 SMA patients are receiving
additional treatments after Zolgensma.
We saw some signs of that in the approvals for the hemophilia treatments, as well, and
what data actually made it into the labels.
There'll be challenges next year, but really, despite this, it should be a big year for
the field as we have a good number of approvals to look forward to.
We'll keep checking the data.
They're going to be important to keep our eyes on the commercial data, especially, and
whether or not some of this promise materializes.
Yeah, it should be a really big year, another big year for gene therapy next year.
What about some of the other advanced modalities that you're tracking?
What are you looking at outside of gene therapy?
Yeah, so, I mean, perhaps most adjacent to gene therapy is in vivo gene editing, where
we're set for a number of clinical milestones next year.
So, we'll be keeping our eye on the gene editing space to see if it's real or not, what the
safety risk really looks like, if that's real or not, and where that field may go.
As you start moving further, abreast from there, you get into the mRNA space.
Everyone's obviously very familiar with the mRNA vaccines right now, but we'll start seeing
some of the early oncology and ongoing oncology data come out in the space, and if these can
really transform how we think about treating cancer patients.
ADCs continue to drum up more interest.
I think after AZ and Daiichi's deal worth up to $22 billion, we've seen continued commercial
success in HER2 and PADSEV.
I know, again, we're recording this a little at an advanced, but it was just three days
ago that BMS announced their deal with Sys-immune as well, so there's a good amount of promise
in ADCs going forward, too.
There's really a whole host of new therapies to keep our eyes on.
Radios and biospecifics are going to continue to be on the radar for a while.
We'll see billion-dollar deal making going forward there as well.
Just earlier this week, C4 announced a deal in the degradation space.
I think 2024 could really shape up to be an interesting year for the next wave of modalities,
and we'll see if some of these can really live up to what the biologics did a few decades
ago, and usher in a new wave of medicines here for patients with high-on-mint need.
Thank you all for a really useful discussion.
If you're interested in more details on these topics, please see our executive insight titled
Looking Ahead in Biopharma 2024, published on our website.
I'd like to thank all of the leaders of our biopharma practice beyond Peter, Matt, and
Alex who contributed to that.
We're happy to provide more detailed discussions on requests, and as always, we look forward
to helping our clients navigate these ongoing challenges and new frontiers in the coming
months.
Thank you for listening.
Thank you, our listeners, for joining us today at the Insight Exchange, presented by L-E-K
Consulting.
Links to resources mentioned in this podcast can be found in the show notes.
Please subscribe or follow for future episodes wherever you listen to your podcasts.
Also, we encourage you to submit your suggestions for future insights online at lek.com.
Podcast Summary
Key Points:
Insight Exchange is a platform by LEK Consulting for exchanging business insights and ideas.
Discussion of key trends in the biopharma industry in 2024
Topics covered include financing and M&A challenges, drug pricing legislation impact, AI in drug discovery, and leveraging new technologies in commercial models.
Potential for larger M&A deals and impact of political landscape on drug pricing reforms.
Focus on AI-driven drug discovery, operational efficiency, and transformation in the pharma value chain.
Importance of digital tools in commercial strategies, including personalization and customer engagement.
Summary:
Insight Exchange by LEK Consulting facilitates the exchange of insights in the business world. The episode discusses the biopharma industry trends for 2024, covering market correction, drug pricing legislation, AI in drug discovery, and advanced modalities. Key points include the challenges in financing and M&A, impact of drug pricing laws, leveraging AI across the pharma value chain, and adopting digital tools for commercial strategies.
The discussion highlights potential for larger M&A deals, political influences on drug pricing reforms, and the transformative potential of AI in drug discovery and operational efficiency. Companies are advised to adapt to new digital capabilities for personalized customer engagement and optimize business processes to leverage the evolving technology landscape in the industry.
FAQs
Insight Exchange is a forum for the exchange of insights and ideas driving business into the future.
The partners in the biopharma practice are Peter Rosenhorn, Alex Gooth, and Matt Mancuso.
The biotech capital market correction is impacting financing and M&A, with investors seeking proof of concept and alternative funding sources.
Key trends include biopharma market correction, new drug pricing legislation, artificial intelligence in drug discovery, digital-to approach in sales and marketing, and advanced modality pipeline developments.
The Evaluation Reduction Act will impact drug pricing negotiations and introduce uncertainty around potential price reductions.
Artificial intelligence is driving advances in drug discovery, operational efficiency, and innovation across the pharma value chain.
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