Right. Is my mic on? Can people hear me? Yeah? Great. Okay. Welcome, everybody. I'll give us just a minute or so here for everyone to get in so we can get started. Okay. I wanna welcome everyone to our Seventh Annual Healthcare Symposium, jointly sponsored by Gabelli Funds and Columbia Business School. That QR code there, if anyone can see it, that has the list of the bios for all of the speakers and panelists. Feel free to download those, if you would like. I'm Kevin Dreyer. I'm Co-CIO of the value team here at Gabelli Funds, and I am very happy to be joined by Professor Carri Chan. She's a professor and the Healthcare and Pharmaceutical Management Program Director at Columbia Business School. I'm also pleased to be joined by our Gabelli Healthcare Research Team, including Daniel Barasa, Elena Meng, Rebecca Stern, and Jennie Tsai. Now, we've been doing 24 years of healthcare investing at Gabelli, and as you can see here, here are some of the white papers we've done recently on topics ranging from the longevity boom, IV therapies, and AI-enabled diagnostics, all very relevant to some of the panels we've got today. Why are we here? We're here because we have some problems in society, one of which is this. We have an aging population, and that aging has been growing. As we can see, the percentage of people 65 and older has grown a lot over the last 20 years. It's gonna grow even more over the next 20. That's something that's going to need to be addressed by society, and how do we care for these people? Related to that is this slide: healthcare spending as a percentage of GDP, among the highest in the world. Healthcare spending in the U.S., it's about 18% of GDP now. It's projected to grow to 20% by the early 2030s. Again, something that we need to address as a society. In terms of why we're spending that money, well, certain diseases continue to burden society. Cancer is one of them. We've had 20 million cases, almost 10 million deaths, recently. That's gonna grow to over 35 million cases and 18.5 million deaths, currently projected by 2050. We want to work on ways that we can reduce, certainly, the latter number. Finally, we're gonna talk a bit about vaccines. Maybe we'll stay away from some of the more controversial topics regarding vaccines, but we're gonna talk about access. How do people get access to vaccines? This might be a little confusing, but the point of this slide is that higher-income people make up a small percentage of the overall population of the world. They are buying over half of the vaccines. We wanna find ways to get those lower and middle-income people better access to vaccines globally. Some of the challenges and opportunities we're dealing with right now are longevity pressures, technology and data, and aligning incentives across the healthcare value chain. As for our agenda, we're gonna begin with the future of multi-cancer screening at 8:50 A.M. Then we're gonna be talking about empowering beneficiaries through consumerism at 9:50 A.M. At 10:55 A.M., we'll talk about developments for aging in place, something near and dear to a lot of our hearts. At 11:55 A.M., vaccine access and development. I will note that there will be a 15-minute Q&A session at the end of every panel. Please, we want people to participate. Raise your hands. Someone will come to you with a microphone so that we can all hear you. With that, I am going to turn it over to Professor Carri Chan, who will say a few words and introduce her panel. Thank you, Carri. Yeah. All right. Thank you, Kevin, for that lovely overview. Good morning, everyone. As Kevin said, welcome to our Seventh Annual Gabelli Funds Columbia Business School Healthcare Symposium. My name is Carri Chan, and I am the Faculty Director of the Healthcare and Pharmaceutical Management Program at Columbia Business School. The goal of our program is to educate, support, and build community for our students and alumni who are interested in the various facets of the healthcare sector. Our students are bright, ambitious, and eager to make a big impact as they embark on their careers. Today's event is a wonderful opportunity for them to learn from industry leaders who are pushing the forefront in healthcare. It is also an opportunity for our students to reconnect with so many of our alumni and industry friends that are here. It's wonderful to see so many of you in the audience. I'm looking forward to reconnecting with all of you. You are a testament to the strength and longevity of our community. If you are interested in getting more involved with the Healthcare and Pharmaceutical Management Program at Columbia Business School, as a speaker, a mentor, or generally to support our students, please make sure to be in touch. I wanna extend our deepest gratitude to Mario Gabelli and the entire Gabelli Funds team for their continued partnership in making this symposium a reality. On behalf of our students and the Healthcare Program at Columbia Business School, we are so fortunate to have your consistent and enthusiastic support and engagement. This year, we have a really exciting lineup of speakers and topics. I wanna thank all of our speakers for being here. The goal is to spark discussion, so I encourage all of you to engage when we have the opportunity for Q&A and in the breaks in between. Let's make the most of this opportunity to learn from each other and contribute to the advancement of healthcare. With that, I'm going to invite up the speakers for our first panel on multi-cancer early detection. First, maybe Asia, I'm gonna just point you to the first seat. Asia Chang, VP and General Manager of Oncology at Quest Diagnostics, David Harding, Pipeline Product Management at Exact Sciences, Noam Krantz, SVP of Corporate Development at Guardant Health, and Alexis Tosti, VP Strategy Corporate Development at GRAIL. Thank you to all of you for being here. To kick us off, we've all heard the data showing that early-onset cancers, diagnosis in people under the age of 50, have been increasing over the past decade. This is particularly true in gastrointestinal cancers, including colorectal cancer. At the same time, cancer maybe a decade, two decades ago was often seen as a death sentence, but advances in treatment and technology have really shifted it more towards, in many cases, a curable condition or into something that's more considered a chronic disease that needs to be managed over time. The key to that really is early detection. It is really wonderful to be here today with all of you speaking about kind of how do we shift to earlier detection and how do we think about multi-cancer early detection and really helping move the paradigm forward. Today's panelist brings together a team of experts across multiple different organizations who are trying to address this. Perhaps to get us started, you are all approaching multi-cancer early detection in different ways at your organizations. If you could each briefly describe and give to the audience a summary of how your organization is approaching MCED and how it fits into your overall organization's strategy. We'll start with you, Asia, and go down the line. All right. Great. Thanks for the opportunity. I think at Quest, there are three dimensions that we tend to think about for early cancer detection. I think the first piece is actually around access to the innovation. You know, I think Quest really is the definition of access across our healthcare ecosystem, whether that's connectivity to different healthcare systems and health systems, clinicians. You think about your typical blood draw. Those are things that Quest naturally brings to the table. I think our relationships with each of these amazing innovative companies really enables that access. The other piece is actually thinking about access as an innovative dimension as well. I think that's the other element that at Quest we're thinking, whether that's on the technology side or even on the testing side. I'll share more about our stroke approach there with, on the testing side. Certainly it is also thinking about whole health and wellness because, you know, cancer is an important part of what people are typically concerned about with healthcare. But so is cardiac disease, so is brain health, so is all these other dimensions. No primary care physician just thinks about cancer. They're thinking about whole health. You know, people in general are always thinking about that as well, you know, so. Great. Thank you. David? Yeah. At Exact Sciences, good morning, everybody. Our mission is to prevent cancer, detect it earlier, and optimize treatment when folks do, indeed, get cancer. As we think about, you know, our flagship product, Cologuard, which is focused in the colorectal cancer space, we say that's not enough, right? Just optimizing for colorectal cancer is not going to get us to our mission of eradicating cancer, across many types. From the very beginning, we have had this vision that, you know, once we get colorectal cancer squared away, let's then move on to multiple cancers. We view it as highly, highly complementary for us to not only focus on colorectal cancer and other product lines, but then to expand that into multi-cancer early detection, right? That's the only way we're gonna get to that ultimate goal of eradicating cancer. Good morning, everybody. Noam Krantz from Guardant Health. At Guardant, our mission is to conquer cancer with data. We've been doing that now for about 12 years. We play really across the continuum of care in cancer, all the way from late-stage therapy selection to MRD to screening and early-stage detection. When you think about cancer, you know, it's the one kind of disease state where prevention is not preventing people from getting it, but just catching it early. That really plays into this common theme that we have in our approach. The way we look at all of these areas of cancer is we have one sort of common tech stack that can be used and changed in different ways to get to different indication and different stages of cancer depending on, on kind of availability of our ability to catch it in blood. That is, you know, really our founding is being able to detect cancer in blood. When we look at early-stage, you know, cancer, you know, the question and, and each one, so we are looking at all of these different kind of indications of cancer and the different stages, and each one of them requires a different approach. Screening, of course, is completely different because it is harder to catch. From our perspective, we want to understand each one of these indications, how to go at each of them. We're going after a first with colorectal cancer. We see that there's a huge need there. And then on top of that, adding an MCED related to that, and then different indications. Hi, everybody. Alexis from GRAIL. I think GRAIL's unique in that we were founded based on an incidental finding at Illumina about 10 years ago, where cancer or a weird signal was detected in some blood samples, and it turns out it was reflective of cancer. We were really founded with the intention of being able to build blood tests that were able to detect cancer. That has kind of been our mission from the beginning. We are almost 10 years in. We launched a product a few years ago called Galleri, which is a multi-cancer early detection product capable of detecting up to about 50 cancers in the blood. Great. So Alexis, maybe we can expand a little bit more. You know, GRAIL, as you noted from the beginning, has really positioned itself as a company, as an innovator, addressing the challenges of multi-cancer screening. In your view, what are some of the advantages and disadvantages do you think that this approach is kind of trying to do all together, and that being your north star has brought? Yeah. I think it's important to understand kind of the derivation of that. When GRAIL was founded based on this incidental finding, we set off to determine, okay, how do we build the best technology here? We did a discovery study where we pitted a number of technologies head-to-head against each other to identify really what would be the best approach to doing this. When we did that, we actually found that there was a shared signal that we were finding. We were not finding a signal for colorectal cancer, a signal for lung cancer, a signal for breast cancer, and adding them together. We were finding a signal shared across cancers, and then we were able to add kind of an additional portion to that test to differentiate where that signal might be coming from. We did not really have a choice to go cancer by cancer or multi-cancer. We had the technology as a multi-cancer test. The one challenge there is that is not how screening is done today. It really is an evolution of how you would approach screening in the market, and it takes a lot of education, and we are focused on that. Great. I think maybe Noam, we can go to you. Yeah. In contrast, right? Yes. So your Shield test. Yes. Was first launched, as you noted, specifically for colorectal cancer. Now you're in the midst of a trial to see for- Yes. Detecting multiple cancers. Can maybe you share, it's a kind of the opposite approach that GRAIL has taken, and help kind of illuminate in that sort of contrast? Yeah. I mean, it's the opposite, but it's also kind of similar. We, so we have Shield, you know, which was launched a little bit over a year ago. It is on track to be the most successful DX launch outside of COVID. It's moving along very rapidly. Shield is a colorectal screening product at this point, right? At the end of the day, it was developed ultimately to detect all cancers. The way we look at it is, you know, one by indication because you have to, you know, each one of these areas of cancer is its own little world of, you know, access, reimbursements. There are many challenges in each area from a detection perspective, from an access perspective, reimbursement, payers, all that type of stuff. Our approach was to go at an area that we saw significant unmet need. First, that was, you know, colorectal screening. The reason is because this is an area where early detection is key. You can have a really big effect on patients. It is a growing area, especially in younger patients. It is an area that compliance is an issue. You know, nobody wants to go in and get, you know, colonoscopy. Even the stool tests today have, you know, a fair amount of falloff in compliance. Our test so far has shown that, I think something where around 90% of the tests that we have done are in patients that have never been screened before. In the hospital setting and different practices that we've looked at, there's about two, just by offering Shield, there's about 2x the amount of screening that occurs in those offices. It is having a significant impact. What we've done is we're going after lung as a specific indication. You may have seen, if you haven't seen our Investor Day a couple weeks ago, we talked a lot about multi-cancer screening. Our approach to start a multi-cancer screening, as I said before, conquering cancer with data, it's really more on the data side at this point. We're trying to understand how to go at it responsibly. We're talking to the government authorities. We're participating in the NCI Vanguard study, but we're also building a ton of real-world evidence kind of on the backs of our colorectal cancer screening product where we're allowing physicians to opt in to the MCED and patients to opt into allowing their medical records to be shared. We will actually share the MCED data that we're seeing coincidentally with our tech stack. It's really on that data side at that point. We're trying to understand you want to give this access to patients and physicians to understand what's going on in their DNA and their body and their epigenetics, but you don't want it to be kind of a time bomb as far as expense and all that to the system. Great. Yeah. I think, David, from the outside, it might seem that Exact and Guardant have a similar path in their approach in the sense that, you know, Exact Sciences is synonymous with your high-adherence at-home colorectal brand, and so you're now starting to expand into multi-cancer screening. How do you address the fact that people typically associate Exact with the Cologuard system and don't get product confusion as you're entering into kind of a broader scope of testing? Yeah. It's an interesting question. First of all, we're very proud of Cologuard. We've screened over 20 million people now with Cologuard and have really bent the survival curves in a very good way. We're super proud of that. Obviously, the brand is extremely strong and it's very trusted in the primary care community and among consumers. We really believe that we can build off of that. It's really important to note, I think, that, you know, when you have a standard of care screening approach like Cologuard or colonoscopy or mammography, or, you know, the other standard of care screening approaches, those are there for a reason. It's because they work. What we're trying to do is say multi-cancer early detection is complementary to those standard of care screening approaches, right? With Cologuard, right, you're gonna get very high sensitivity, very good pre-cancer detection, and you don't wanna stop doing that, right? That is the best approach for detecting colorectal cancer. For other organ types, multi-cancer early detection is the only way you can interrogate that organ type. What we're saying is let's make it complementary, right? If you're getting your mammogram, great, keep doing that because multi-cancer early detection is not gonna do a particularly good job of detecting breast cancer. Similarly with colorectal, use the Cologuard test, use, you know, other tests that are interrogating that organ directly. For other organs that you can't interrogate directly, use a blood-based test. We believe it's very complementary. We believe that the strength of the brand and the trust that we have at Exact Sciences with primary care physicians and with consumers is going to build on that with our Cancerguard test. Just integrating it seamlessly with our sales teams, with all of our infrastructure that we have built, with healthcare systems is going to be really, really important to success in getting adoption. Right. I think the good news for everybody in society is that there's so many people who are working on different types of solutions and different approaches to this. This brings me to you, Asia. You have a number of Quest has partnerships with a number of these organizations of your fellow panelists. With all of them. With all of them, you're also developing your own multi-cancer risk test with MD Anderson. How do you manage the potential channel conflict and competition between all of these different offerings in your portfolio with your partnerships? How would you position your in-house test relative to these established partners' tests that you have? Yeah. That's a great question. I think, I think outside looking in, you, I can naturally see how that question arises, but I think as you've heard from each of them, that the positioning for each test is actually quite unique. I think the level of evidence within different populations is also quite, in many cases, complementary. Ultimately, why we have these partnerships is, again, if I bring it back to the access piece, it's giving the market, and consumers, clinicians the power of choice because the fact is screening is a programmatic strategy. It's not a single time point. It is a series of things that have to happen in our healthcare system to make it an effective and adoptable and broadly used solution. That access enables each of the partners to develop their own evidence strategies, position it appropriately for clinicians. I think that's an important part of Quest's role. The other aspect is about, I think of it as innovative access. With our own partnership with MD Anderson, I will say that it's shaped by my own personal experiences around looking at a lot of the data, whether that's the GRAIL data, the Shield data, the Cancerguard data. It's really interesting. I think, you know, you brought this up, Carri, around evolving cancer to be thought of as more chronic. I actually think that's a really important insight, and it actually starts right at the screening stage, because most times we tend to think of cancer as episodic. I'm finding something. I'm detecting something. You're detecting it as if you're catching a virus. We actually know cancer doesn't work like that. It grows in your body. It evolves in your body. It hides. That's why it's actually really difficult to identify those signals. Our partnership with MD Anderson really builds upon that insight. It's a circulating tumor protein assay, and it's intended to identify cancer risk. You know, people that have signal that there are growing tumors in your body are giving off signal. There's an inherent risk associated with that, not unlike any type of cardiac disease, not unlike any metabolic disease. Part of that is helping the general population, helping people understand who actually is at risk and should be more proactively screened. Right now, the only methods for that are, are you over the age of X? Are you this gender? There's more to it than just the gender and age. Risk is actually inherently biological. We think these protein tumor markers really complement and in a lot of ways could unlock the market and accelerate the use of appropriate technologies, along a continuum. It is really along a continuum. Great. I think maybe building on this theme of partnerships, as we noted, Quest is partnered with all three of you, but all three of you also have various other types of partnerships with pharma, with service providers, and with payers. We'd love to learn a little bit more about how you think about such partnerships. What are you looking for in a partner and how much of that is contingent on what's currently in your pipeline versus what you see coming down later in the future? Maybe we'll start with you, David. Yeah. I, first of all, thank you to our friends at Quest for being an important partner in blood collection, right? I think what it all comes down to is we need to make this easy for consumers and for healthcare providers and for health systems and ultimately for payers. What we found in our experience with Cologuard is, you know, the more we make it convenient and easy for consumers and their clinicians, the better compliance we're going to have. Noam talked about that a little bit earlier. Having that experience, having that ability to reach out and manage the consumer through that whole process is really, really important, right? We find too many areas where if there is a barrier to screening, then people will fall out of the process. Ultimately, we wanna get as many people screened as possible. What does that mean for our partners? For partners like Quest and Asia who are providing that service, right, we wanna make it super convenient for a consumer to be able to go and get their blood drawn, right, and be able to schedule something that works with their day and in their lifestyle. Secondly, with our primary care providers, right, we wanna make sure that that experience from ordering to resulting to then working up a positive patient is as easy as possible, right? We all know primary care, healthcare systems are overburdened, and we want to make that process easy. Providing a very easy diagnostic resolution pathway, providing a very straightforward interface, being able to order straight out of your EHR system, all of those are exceptionally important. With the healthcare system, being able to, you know, publicize the fact that early cancer detection is available is really important. We think about it as, you know, kind of this three-legged stool. You got to educate the consumer to create demand for this product and create awareness. You have to educate the primary care physician so that they can actually order it and speak to it when a consumer comes and shows up and says, "Hey, I want this thing." You have to have a great partnership with the health system to work up those positive cases on the back end. All of those partnership things, right, are enabled by electronic connectivity, good awareness-building campaigns and educational campaigns, and ultimately a straightforward diagnostic workup process that is really important. Yeah. I'm next. Yeah. At Guardant, you know, we're tech dev people at the end of the day. And I would say that we're completely obsessed with the idea that we can take a vial of blood and find cancer, right? You know, we're trying to do that in some cancers that are easy to catch, which is colorectal cancer is probably one of the easier ones. For some reason, it sheds, you know, the DNA, the epigenetic biomarkers are easier to find than some other cancers that don't shed quite as much. We've gone, I think, 20, 30, 40 pilots with other companies to understand, you know, how we can do that better. We can't really, you know, we have to go out to the external environment because there are so many different ways and different possibilities to detect all of the different types of cancer. From a tech dev perspective, I think partnerships are really, really critical. We want to tap into smart people. You know, we think at the end of the day, you know, it is the intelligence of the company and the ability to be able to run these pilots. That is a really significant advantage for us. It is also just that will and that kind of obsession and that desire to be able to find all of this in blood and then to drive it to an approvable and reimbursable product at the end with the data behind it. Then comes, you know, this big lift of trying to get access and breaking down those access barriers in the U.S., outside the U.S. Every market is super, super hard. You know, you have to get the approval. You have to get the reimbursement because they're expensive tests to run for us, let alone for the customer and the patient in the end. That is where, you know, Quest, I think we're all grateful to Quest for this. I don't know, what is it, like 600,000 HCPs that you guys have access to, 8,000 different phlebotomist centers around the country that they have, that they own essentially. It is, for us, really amazing to have that partnership as well and to be able to accelerate once we've done the tech dev. Yeah. I think, you know, these guys have pretty much covered both stakeholder partnerships and development partnerships. I think those are both critically important to us as well. As we were developing the test, and as we continue to look into future development, you know, research partnerships are important to us. We are also really focused on stakeholder partnerships. As David was describing, just enabling navigation through the healthcare system is incredibly important. It is a very complex system. Partnerships with Asia and with a number of others really help enable that access. Great. I think everybody keeps referring back to you and Quest. Maybe we can just build on that a little bit. Clearly, Quest has this major advantage of having an immensely vast network. I think Noam gave us a few statistics about that, that not only is it across the entire geography, but really is directly integrated into patient services. I would love to learn a little bit more about how you think about leveraging this infrastructure, particularly you mentioned primary care, to move beyond just the traditional cancer screening adherence rates that are not great. People do not necessarily get anxious when they need to get their colonoscopy and other types of screening, so that we can ensure that patients actually get the follow-up diagnostic tests after they do these initial screenings, right? How do you go, once you have those positive signals, follow up and make sure that the patients get fully diagnosed and then get the care that they need? Yeah. Great question. I mean, I think, I think elements, you know, those statistics, like something 650,000 clinicians, connected, you know, 6,000 in-office phlebotomists, 2,000 patient service centers. We have a huge courier fleet that ensures any lab ordered through those channels makes it to a hub within a day. That's why your CBCs can be turned around in less than 24 hours in some cases, you know. That infrastructure is vast, and the investment and the capital to support that has been made over a tremendous amount of time. That's something that Quest continues to invest in across our own technology stack. That's kind of what I mean a little bit about innovative access as well. We recently also have partnered with Epic to look at our entire infrastructure so that we can become even more integrated with healthcare. That's a long-term vision that our CEO, Jim Davis, had. I think those are examples where when I think about that connectivity, we're continuing to think about that. The other piece that you're bringing up around adherence and bringing people through the care paradigm, I actually think this kind of brings it back a little bit to even just my, you know, our partnership with MD Anderson, along with, frankly, other diagnostic tests. I think of them as risk triage tests because I think what we're hearing and what each of the partners could acknowledge is that different cancers have different issues related to how people follow through. In certain cases, if you take PSA as an example, PSA has waxed and waned in terms of its use. The reason it has waxed and waned is because initially people caught thinking, "Oh, this is the thing that will detect prostate cancer." It is not really the perfect test to detect prostate cancer, but it does tell you a certain level of risk. Once you have some profile to understand that this person is at risk, there are actually additional triage tests that need to be deployed so that care providers and patients can have shared decision-making on what the appropriate next step looks like. There are actually types of testing and types of information that help people get comfortable and move through that care journey more effectively and more efficiently. Different cancers will have different requirements. I suspect even with the multicancer test, there will be follow-on tests and other aspects that actually help people understand what is next. There is probably testing that needs to be done before that to help people understand, "Yes, you are an appropriate person to get this type of test." I think that is what, generally speaking, one of the challenges with this is the population health problem. There is a resource problem that comes into the overarching healthcare economy and ecosystem. That is a really important role for Quest to play. We have partners and technology investments and innovative access that we think about that spread across that continuum. Right. I love how you're kind of describing the potential impact that this could have on changing just the diagnosis journey of an individual, but also that next step. How is this going to potentially impact cancer care, right? We've seen shifts towards more outpatient follow-up, less invasive types of procedures. I'd love to hear from our panelists before we open it up to the audience how your organization is thinking about how MCED could actually transform the way that cancer care is being delivered. Maybe we'll start with you, Alexis, and then we can see how others are thinking about this. Yeah. I mean, I think the vision is that, you know, with multi-cancer early detection, you'll be able to detect more cancers earlier. And so ultimately, instead of treating late-stage cancer, you're gonna be able to treat earlier-stage cancer where those treatments can be more effective and more likely to lead to cure. Great. Noam? It's a hard question. You know, I saw a lot about it in the last couple weeks since we've been talking about this, you know, on the side. You know, like I said, it's a strange disease state in that prevention is just catching it early, you know. So there's that possible burden of people knowing that they have a cancer, they know potentially maybe where it's coming from, and then you need to find out where it is and you need to remove it, right? Or you need to do some type of, you know, immunotherapy or whatever it takes. So, obviously, the fear is that you kind of shine a light on the issue in each patient, and then you have to solve that through some type of further diagnostics and then treatments, and that is expensive. I think, you know, at the end of the day, the earlier you catch it, the cheaper it is to deal with it, obviously. I think those late-stage patients are extremely expensive to the system. I think that as we progress in advanced studies, and some of the studies that we are doing with the authorities that will actually track some of this data, I think you will see that there are significant savings to the system in the end. At Exact, we ran a health economic model. We took a simulated group of five million Americans between the ages of 50 and 84. We looked at them over a 10-year period and modeled out all the different potential cancer incidences and things like that. We said, "Okay, that's great. We have this model. If we apply to that not only your standard of care screening, but also a multi-cancer early detection protocol, and we have these people getting tested annually over a course of 10 years, what's the difference in outcomes for, you know, this only standard of care adherent body versus the group of people that took a multi-cancer early detection test?" I don't think our findings are unique. I think GRAIL and others have done these types of models as well. Ultimately, what it found was we could reduce stage four cancer incidence by over 40%. In addition to that, we could reduce overall cancer mortality by 18%. Now, when you think about that in comparison to advances in, say, immunotherapy, other treatment approaches, and you model that out over that same 10-year period, you get about a 2% reduction in overall mortality. All these investments that we see across the industry in advancing therapies and treatments are really, really great. If that only gets you a 2% improvement in mortality over 10 years versus detecting it earlier and 18% reduction in mortality, you can see how that makes a massive improvement on human health and, you know, reduces costs dramatically, right? What we've modeled is that detecting at Stage I or II is between four and 7x less expensive than detecting at Stage III or IV, right? It all is very logical, right? Our host earlier showed that chart that showed healthcare costs skyrocketing, right? How do you bend that curve in the right way? You do it by catching cancer earlier where a surgical intervention or some other minor intervention is going to work fundamentally much better than years of expensive therapy. Great. Yeah. We've seen this play out in a number of different areas. I think the key is really this earlier preventative type of shift, rather than waiting for the acute episode to be very disastrous. With that, I'm gonna open it up to questions from the audience. I believe we have a mic runner. If you raise your hand, someone with a mic will come to you. Hi. I'll kick it off. You just basically answered the question I was going to ask about the cost implications. I'm curious, how do all of you work with both insurance companies and the government to make sure that incentives are aligned so that people do take these tests earlier? Given the obvious payoff not just for consumers, people, but also society in lowering those costs? I'll start. I mean, at Quest, I think because of the role we play in our healthcare ecosystem, we have great relationships with many payers, and that is spread across all the types of testing that we provide. I think when it comes to certain innovative applications of those tests, that is an area that, Quest, I would say candidly, probably struggles with, because the evidence behind it requires meaningful studies that each of these partners provide, and that helps people understand where it fits in that ecosystem. Our role is multifaceted in that, you know, enabling that access helps build the right evidence benchmarks, but certainly our existing relationships help pull that through to the rest of the ecosystem. I will share a little bit of my own soapbox, if you will, that I do think our healthcare ecosystem is really funny because we tend to put diagnostics in a cost-plus, you know, payment structure, if you will, in our healthcare ecosystem. When you really think about it, there should be more value that's provided to diagnostics in general because each of those pieces helps you get to the end goal. We've somehow assigned all value to the very last step, and that doesn't always make sense to say, "Oh, only the surgery, only the drug should recoup 90% of the value." Every single piece of that journey is incrementally important. I think there is an evolution that, as an economy, as a society, we should really think about as a public policy, should think about the value of actually that diagnostic information. Yeah. Go ahead. Yeah. I think evidence is certainly crucial, and we're all collectively working on evidence strategies that will demonstrate not only the performance of these tests, but also the clinical utility of them. We need to ultimately take that to government, right? There are efforts underway in Congress, all of us support, to introduce a multi-cancer early detection bill that will enable Medicare to actually pay for a multi-cancer early detection test. That's working its way through Congress. We have to work very carefully in advocating for that, with our partners to get that legislation passed. Otherwise, you know, it's a really tough road to get ultimate reimbursement. Ultimately, it comes down to demonstrating utility. The more we can collectively produce evidence that shows we're detecting cancers earlier, we're reducing cost of treatment, we're generating really great outcomes for patients, the more we'll have payers adopt. Yeah. No, I would just, I would echo that. I mean, at the end of the day, the government in this case, I think, is a good partner, you know. And we've had really good experiences with all the different, you know, whether it be Republican or Democrat. It's been a good experience partnering with the government. Yeah. I think there's mics over there. Hi. I'm Henry Wei from Regeneron. We're a biotech with a significant portion of the pipeline in oncology right now. There may be a tailwind emerging where we move to premalignant conditions, precancerous conditions, and more aggressive preventive or risk stratification, something you talked about, of transforming this into a chronic, risk management. How far out are we, in terms of both the diagnostic paradigms as well as the therapeutic prevention as opposed to therapeutic, or rather the preventive regimens as opposed to the treated treatment regimens? Anyone? I don't know. I think there are a number of folks looking at that in there. Some essentially early studies looking at where you can identify signals that enable you to, you know, better serve those patients, whether it's with treatment or watching or no treatment. We're early-ish, but it's definitely on people's minds. Yeah. And, obviously, you know, with our colorectal cancer test, we are detecting, you know, precancers and identifying those and enabling treatment of those. It's a little bit harder on the blood side of things, right, to really identify those precancerous lesions. I'm sure as the technology evolves, we'll get better and better at that. Thus far, you know, at least in our blood-based studies, there's not a ton of evidence that we're able to really find precancer just yet, but I imagine that will evolve and improve over time. I would say too, I mean, I think that this is the partnership and the willingness from different pharma companies given their pipelines to decide where to invest time and energy. There have been studies done where, you know, secondary findings, tertiary findings are, turns out this anti-inflammatory drug has a statistical differentiation for people that have reduced cancer rates. That's not really surprising when you think about the pathways that cancer develops. Some of that implies there are therapeutic interventions that could be provided more proactively. Those are longer studies. Those are trickier, to your point, to sort of look at. I think a lot of the technologies underlying that are actually in these companies' shop right now. That requires relationships and partnerships to go explore that space. I think the other component of it is the real-world evidence you're getting from the biobanks that you can build. You know, we have, you know, I think a million, you know, patients' worth of blood at this point that can be connected to claims data, can be connected to EMR data. When you put all that together, apply some AI to it, I think there's gonna be some pretty dramatic findings that are totally coincidental to why you're taking the blood, you know. As you do population screening and you get to the couple hundred million patients, it's gonna be pretty, pretty amazing. Where's the mic? I can just talk loud. Okay. Hi, Ben's asking for me to be here. Thanks for a great, a great panel. I was wondering if any of you could comment specifically on the early diagnosis of pancreatic cancer? Sure. Thanks. Sorry. Ben's asking for me to be here. Thanks for a great panel. I was wondering if any of you could comment specifically on the early detection of pancreatic cancer. This is kind of to the general point you were making earlier, David. This is something when it's caught early enough, surgical interventions can be pretty effective. Most of the time, though, it's only caught late. When it's metastatic, half the patients are dead within nine months. You know, we're making progress on that. We have a drug in phase II where we actually saw 86% overall survival at nine months. We announced in September. We're kind of making progress in the late end, but we would love it if there were more ways to detect it early so more patients could be eligible for surgery. Anything, any progress any of you guys are seeing in pancreatic cancer early detection? Yeah. I would say that pancreatic cancer is one of those cancers that our technologies detect really well, right? They tend to shed a lot of DNA and protein into the bloodstream. We find that pancreatic cancer is one of the highest performers within our multi-cancer early detection tests. You know, the ability to find those cancers, pancreatic, ovarian, right? Early, I think is very, very high. We are extremely hopeful, and we'd love to collaborate with pharmaceutical partners who can then say, "Hey, I've got an early-stage treatment as well." We often run into clinicians that say, "What's the use of really detecting pancreatic cancer early because there's no good treatment," right? We say, "Well, okay, but we got to sort of set foot on the moon before we figure out what we're doing here first," right? Let's find those cancers early. Let's partner up with the therapy companies to really, you know, create a comprehensive early detection approach. We are finding there are good ways to treat early-stage pancreatic cancer. Some of the critical patient stories that kind of come out of use of Galleri in the real world, and Galleri's the name of our multi-cancer early detection test. Is that we've found early pancreatic cancers and been able to eliminate cancer in those individuals, so completely cure it, which is fantastic. That's great news. Thanks. This is kind of like, what we were saying a little earlier. You know, the, like, the policymakers have essentially said, like, USPSTF gave it, like, a C or D rating to do pancreatic cancer for this exact reason. Like, they're all, there's not a good enough treatment. It's like, well, I'm pretty sure finding the signal is halfway there. We're getting there. Like, how can we say that fi like, identifying that is not valuable? Yeah. Hi, my name is, oh, hi, my name is [George Dabakis]. I'm a physician and CBS graduate, not an oncologist. One of the questions I have, as you start doing more early detection, I'm assuming that a lot of the sensitivities for most of these tests are gonna be quite high because I assume the negative predictive value's gonna be quite high because the populations are gonna have lower prevalence. Is one of the concerns that payers might have is that these patients are gonna require more serial testing over time because early negative test does not necessarily mean you're not at risk for a cancer down the road? If I understand the question correctly, it's that a negative test does not mean you won't have cancer in the future, right? Right. I mean, because as you start, as you start screening people early on who are where the prevalence is probably gonna be quite low and the negative predictive value of these tests are gonna be quite high, naturally, the sensitivity of these tests should be quite high. Does that really effectively screen people if their, if their likelihood of the disease is gonna be low at that stage in their life? The way we think about it is actually, we've designed the test to have a very high specificity. If you have a negative test, we actually recommend annual cadence of screening because cancer can develop over time. You would get an annual test, and it tells you at the time we do not see a signal, but it does not mean you do not have cancer, which is why, as David was talking about, we want to make sure that people are using all of the standard of care screening practices. Yeah. I would just echo that, right? Insurance companies have as payers that they're gonna for vast amounts of the population, they're gonna be paying for serial testing every year? Yeah. I mean, they certainly push back on that, right? And, you know, we know for every type of cancer screening, whether it's breast or cervical or lung or colorectal, right, that is a net cost adder, generally speaking, to the healthcare system. When you look at the value of life years gained in contrast to that expense, right, we deem it to be worth it as a society to pursue that. I think, again, you know, the power of cumulatively screening many types of cancers with one test, you know, really is very powerful as opposed to trying to do screening with a bunch of other individualized tests, right? We want to combine that power of combined incidence so that we can get the most economic value. Of course, it is going to cost the healthcare system to do this. Again, the value of life years gained cumulatively, I think, is gonna be exceptionally powerful. I think we have time for one last question. You already have a mic there. I've heard the words population and prevention, which tends to be the world of public health, not healthcare. Are any of you currently working, or do you anticipate in the future where, you know, the CDC or state or local health departments will become involved in your businesses? And is this a public health question or more a healthcare question? I think they are, right? I think they already are. The short answer is that they definitely already are. I mean, I think no one brought up the NCI. Yeah. Looking at how these types of studies should be run, it is a population health question. You know, if I sort of connect some of the ideas that we just brought up around resources like, I think the net benefit elements, and the intention for reducing, you know, mortality outcomes, stage shifting so that spend gets done earlier with better outcomes are all really important, you know, avenues. I would add that, again, like, I think the element, one of the missing elements to this is who is actually symptomatic. Like, if the symptom is only 45 and gender, that's actually not a really good, like, benchmark. That's where I think if I come back to our cancer risk assessment, there are actually known markers out there that point towards cancer risk, whether that's CEA, whether that's PSA is a good example. Like, that actually is probably not perfect for detection, but it is important on a dynamic level to understand who's at risk. We as a society should probably be measuring this on a regular basis because as you're looking at that, and those are very accessible tests, this is where economics comes into play. You actually can help build a better foundation for a lot of these really amazing technologies to build upon. Right now, the foundation is a little bit amorphous because there's only, again, the gender, the age, and maybe some rare hereditary condition, you know. I think that's an element at play that I think as a group we should look at this more at as risk. Same with A1C, same with your cardiometabolic profile. Like, it's not any different, to be honest. All right. With that, I think we are out of time, but thank you so much for having such a wonderful discussion.