Empowered Patient Podcast

This roundtable on the role of AI in the biotech sector features Frank Yocca, Senior VP and Chief Scientific Officer at BioXcel Therapeutics, Joanne Taylor, Senior VP for Research at Gain Therapeutics, and Martin Brenner, CEO and Chief Scientific Officer at iBio. The conversation covers the historical adoption of AI in biotech, its current use in drug discovery, and future possibilities. AI is not a new phenomenon in biotech and has evolved from data processing to sophisticated models that can screen vast amounts of data. There is a critical need for high-quality, structured data to train effective AI models, and these experts caution about the hype surrounding AI-generated discoveries and emphasize the need for real-world biological and human testing.

Frank explains, "We are all about AI right from the get-go. We sort of inherited that from the parent company, BioXcel, which is now BioXcel, LLC. The company started by deploying data science on big biomedical and other datasets. Much of the data was unstructured and required significant curation, which at first was largely manual. Later, we began deploying more natural language processing and knowledge graphs to predict whether drugs that initially failed but were safe could be repurposed for other indications. More recently, the latest evolution has really been to use large language models and more agentic workflows to generate hypotheses and insights."

Joanne explains, "So Gain has had for many years, I think 10 years also, a virtual drug discovery platform where we've been able to screen millions of compounds virtually to discover allosteric binding molecules. But about three or so years ago, we made the change from screening millions of compounds to screening, now we're up to the capability of screening trillions of compounds."

"We can screen in days, whereas it would take you months and maybe a year to do high-throughput screening. But in terms of having introduced AI into this system, it means that we can do things better because obviously, if you can screen trillions of compounds, you're screening more of the possibilities, you are going to be making better drugs. At least that's the hypothesis than if you are screening fewer compounds. So it's the fact that this is a fast tool set that makes you able to do things that you wouldn't have been otherwise able to do, but it doesn't necessarily make the process itself that much faster because you are doing much more."

Martin elaborates, "So we had the good fortune to start from scratch. We're a very small company. We have made from the get-go the decision that our scientists would be bilingual. They're not only data and AI scientists, but they're also biologists. That makes it a lot easier to translate between the two disciplines. We literally started, or Rubrik Therapeutics started, on the hypothesis that would be a model of structure prediction for proteins. So the company was clearly ahead of its time, and we started by making molecules that set up better than existing ones. And that's, I think, a very low hurdle that a lot of people are doing right now. And you hear sometimes this overreaching argument: we make AI drugs. First of all, tomorrow medicines take 10,000 steps, and enabling three of them is not making an AI drug, but making better molecules. This was the first important step."

#BioXcel #GainTherapeutics #iBio #AI #ClinicalAI #ArtificialIntelligence #Biotechnology #DrugDiscovery #PersonalizedMedicine #HealthcareInnovation #BiopharmaAI #ClinicalTrials #RareDisease #Neuroscience #PrecisionMedicine #HealthTech #BiotechLeadership #AIinHealthcare #DrugDevelopment #MedicalInnovation

bioxceltherapeutics.com

gaintherapeutics.com

ibioinc.com

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This roundtable on the role of AI in the biotech sector features Frank Yocca, Senior VP and Chief Scientific Officer at BioXcel Therapeutics, Joanne Taylor, Senior VP for Research at Gain Therapeutics, and Martin Brenner, CEO and Chief Scientific Officer at iBio. The conversation covers the historical adoption of AI in biotech, its current use in drug discovery, and future possibilities. AI is not a new phenomenon in biotech and has evolved from data processing to sophisticated models that can screen vast amounts of data. There is a critical need for high-quality, structured data to train effective AI models, and these experts caution about the hype surrounding AI-generated discoveries and emphasize the need for real-world biological and human testing.

Frank explains, "We are all about AI right from the get-go. We sort of inherited that from the parent company, BioXcel, which is now BioXcel, LLC. The company started by deploying data science on big biomedical and other datasets. Much of the data was unstructured and required significant curation, which at first was largely manual. Later, we began deploying more natural language processing and knowledge graphs to predict whether drugs that initially failed but were safe could be repurposed for other indications. More recently, the latest evolution has really been to use large language models and more agentic workflows to generate hypotheses and insights."

Joanne explains, "So Gain has had for many years, I think 10 years also, a virtual drug discovery platform where we've been able to screen millions of compounds virtually to discover allosteric binding molecules. But about three or so years ago, we made the change from screening millions of compounds to screening, now we're up to the capability of screening trillions of compounds."

"We can screen in days, whereas it would take you months and maybe a year to do high-throughput screening. But in terms of having introduced AI into this system, it means that we can do things better because obviously, if you can screen trillions of compounds, you're screening more of the possibilities, you are going to be making better drugs. At least that's the hypothesis than if you are screening fewer compounds. So it's the fact that this is a fast tool set that makes you able to do things that you wouldn't have been otherwise able to do, but it doesn't necessarily make the process itself that much faster because you are doing much more."

Martin elaborates, "So we had the good fortune to start from scratch. We're a very small company. We have made from the get-go the decision that our scientists would be bilingual. They're not only data and AI scientists, but they're also biologists. That makes it a lot easier to translate between the two disciplines. We literally started, or Rubrik Therapeutics started, on the hypothesis that would be a model of structure prediction for proteins. So the company was clearly ahead of its time, and we started by making molecules that set up better than existing ones. And that's, I think, a very low hurdle that a lot of people are doing right now. And you hear sometimes this overreaching argument, we make AI drugs. First of all, tomorrow medicines take 10,000 steps, and enabling three of them is not making an AI drug, but making better molecules. This was the first important step."

#BioXcel #GainTherapeutics #iBio #AI #ClinicalAI #ArtificialIntelligence #Biotechnology #DrugDiscovery #PersonalizedMedicine #HealthcareInnovation #BiopharmaAI #ClinicalTrials #RareDisease #Neuroscience #PrecisionMedicine #HealthTech #BiotechLeadership #AIinHealthcare #DrugDevelopment #MedicalInnovation

bioxceltherapeutics.com

gaintherapeutics.com

ibioinc.com

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David Dodd, CEO of GeoVax, highlights the need for next-generation vaccines, specifically multi-antigen and T cell-focused technologies, to provide better protection for immunocompromised populations. Their pipeline includes a COVID-19 vaccine candidate, an Mpox/Smallpox vaccine, and a gene therapy for solid tumors. A priority for GeoVax is to develop new manufacturing processes to significantly accelerate vaccine production, increase yield, and reduce costs.

David explains, "Multi-antigen vaccines become critically important, especially for populations for whom the existing approach in vaccines, meaning single-antigen vaccines or antibody-focused or antibody-only vaccines, is inadequate. And to clarify that, there are approximately 40 million adults in the United States, about 10 times that number worldwide, who suffer from various medical conditions, such as blood cancers. They may have renal disease, diabetes, or be HIV positive. They may also have weakened immune systems, they could have multiple sclerosis or lupus. So there are a host of medical conditions that the result is they inhibit or they deplete an individual's immune system from mounting an adequate antibody response. And keep in mind, the antibody system is that first line of defense when an infectious threat occurs. And that's sort of like the frontline soldiers. They throw up a protective guard to respond to that."

"That means for those individuals, what we need to do is also address this, as we develop vaccines, and some technologies allow you to do this. The majority of vaccine platforms do not, unfortunately. And that is to also induce a very strong cellular immunity or T cells. And this becomes critically important because T cells are what clear a virus from the body. It's also what drives what is known as memory, and also gives breadth or robustness of protection. So it becomes critically important that if one has the opportunity because of their technology or the platform they're utilizing to enlist and engage both the antibody as well as the cellular side, then one can generally develop a much more robust protective immune response that will reduce the risk of severe infection, hospitalization, and the risk of death against certain infections."

#GeoVax #Biotech #Vaccines #PublicHealth #Healthcare #COVID19 #LifeSciences #Biotechnology #Mpox #GlobalHealth

geovax.com

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David Dodd, CEO of GeoVax, highlights the need for next-generation vaccines, specifically multi-antigen and T cell-focused technologies, to provide better protection for immunocompromised populations. Their pipeline includes a COVID-19 vaccine candidate, an Mpox/Smallpox vaccine, and a gene therapy for solid tumors. A priority for GeoVax is to develop new manufacturing processes to significantly accelerate vaccine production, increase yield, and reduce costs.

David explains, "Multi-antigen vaccines become critically important, especially for populations for whom the existing approach in vaccines, meaning single-antigen vaccines or antibody-focused or antibody-only vaccines, is inadequate. And to clarify that, there are approximately 40 million adults in the United States, about 10 times that number worldwide, who suffer from various medical conditions, such as blood cancers. They may have renal disease, diabetes, or be HIV positive. They may also have weakened immune systems, they could have multiple sclerosis or lupus. So there are a host of medical conditions that the result is they inhibit or they deplete an individual's immune system from mounting an adequate antibody response. And keep in mind, the antibody system is that first line of defense when an infectious threat occurs. And that's sort of like the frontline soldiers. They throw up a protective guard to respond to that."

"That means for those individuals, what we need to do is also address this, as we develop vaccines, and some technologies allow you to do this. The majority of vaccine platforms do not, unfortunately. And that is to also induce a very strong cellular immunity or T cells. And this becomes critically important because T cells are what clear a virus from the body. It's also what drives what is known as memory, and also gives breadth or robustness of protection. So it becomes critically important that if one has the opportunity because of their technology or the platform they're utilizing to enlist and engage both the antibody as well as the cellular side, then one can generally develop a much more robust protective immune response that will reduce the risk of severe infection, hospitalization, and the risk of death against certain infections."

#GeoVax #Biotech #Vaccines #PublicHealth #Healthcare #COVID19 #LifeSciences #Biotechnology #Mpox #GlobalHealth

geovax.com

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Rick Davis, patient advocate and Founder of AnCan, is building and operating virtual peer-to-peer support groups to allow patients to connect with others who have direct experience with their condition. These groups can provide accurate information, foster connections among participants, and serve as a check on medical misinformation. With the growing acceptance of virtual meetings, this approach overcomes geographic, physical, and psychosocial barriers that might otherwise prevent participants from attending on-site meetings.

Rick explains, "The mission is to make each person and each patient a better advocate for themselves. That's really what we try to do, and we do that through empowering patients with peer knowledge. We introduce patients to other peers who have been through what these people are facing right now, not only patients, but also their care partners, and through their experience, we hope that these patients and care partners will become more expert in managing their own situation."

"In 2007, when I was first diagnosed with stage three cancer, I attended a physical meeting, and I realized that so many people cannot attend physical meetings because one, they may have a geographical disability, they may have a physical disability, or they may have a psychosocial disability. If we only allow people to exchange views when they're physically in front of each other, it's very limiting. And so I started to look and see what existed in terms of virtual communication. And back in the day, there was very, very little. And that was the motivation that got me started."

"People come into a group, and they hear things that they just wouldn't hear otherwise. And that's why it's so valuable. It's so incredibly valuable. I mean, we had a group last night where a guy came in facing a situation, and by total coincidence, there was somebody from his own city in there who knew the docs that he'd been dealing with, understood the frustration he'd been going through, had been through it himself, and shared his experience. Well, you can't buy that."

#AnCan #AnCanSupport #VirtualSupport #CancerSupport #PeerSupport #PatientAdvocay #DigitalHealth

ancan.org

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Rick Davis, patient advocate and Founder of AnCan, is building and operating virtual peer-to-peer support groups to allow patients to connect with others who have direct experience with their condition. These groups can provide accurate information, foster connections among participants, and serve as a check on medical misinformation. With the growing acceptance of virtual meetings, this approach overcomes geographic, physical, and psychosocial barriers that might otherwise prevent participants from attending on-site meetings.

Rick explains, "The mission is to make each person and each patient a better advocate for themselves. That's really what we try to do, and we do that through empowering patients with peer knowledge. We introduce patients to other peers who have been through what these people are facing right now, not only patients, but also their care partners, and through their experience, we hope that these patients and care partners will become more expert in managing their own situation."

"In 2007, when I was first diagnosed with stage three cancer, I attended a physical meeting, and I realized that so many people cannot attend physical meetings because one, they may have a geographical disability, they may have a physical disability, or they may have a psychosocial disability. If we only allow people to exchange views when they're physically in front of each other, it's very limiting. And so I started to look and see what existed in terms of virtual communication. And back in the day, there was very, very little. And that was the motivation that got me started."

"People come into a group, and they hear things that they just wouldn't hear otherwise. And that's why it's so valuable. It's so incredibly valuable. I mean, we had a group last night where a guy came in facing a situation, and by total coincidence, there was somebody from his own city in there who knew the docs that he'd been dealing with, understood the frustration he'd been going through, had been through it himself, and shared his experience. Well, you can't buy that."

#AnCan #AnCanSupport #VirtualSupport #CancerSupport #PeerSupport #PatientAdvocay #DigitalHealth

ancan.org

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Bob Farrell, CEO of mPulse, is using digital technology, data analytics and AI to improve the relationship between health plans and their members in order to improve health outcomes and operational efficiency. Bob introduces the concept of HXI, Health Experience and Insights, as a framework that unites data, intelligence, and personalized communication to provide tools to enage members at the best time and by the preferred methods with appropriate information at the right time. Analyzing claims data enables plans to identify high-risk patients, promote preventive care, and build health literacy.

Bob explains, "The mission of mPulse, and this has really been the mission of the company since its founding in 2015, is to improve the health outcomes of our customers' members and patients. So we're looking to close gaps in care. We're looking to increase literacy so that members and patients can understand their health plans. So providers can take charge of healthcare and improve those outcomes. And while we're doing that, we try to help our customers improve their operational efficiencies. Most of our customers are health plans and they range from small community plans to large nationals. The 60 largest plans are our customers. We have a wide array of customers and continue to expand on that base, both with new customers and by doing more with the customers that we have."

"Health plans are not known to be the early adopters of technology. So you're right. A lot of them are still transitioning from older ways of doing things. But in general, health plans have a huge trust issue with their members, and it has really resulted from a lack of engagement, a lack of positive experience. So we see a lot of health plans looking to embrace technology to improve the member experience, make sure that those members are getting outreach. Not just now and then, but during the whole course of their consumer health journey, so that they can be aware of what things they have available to them, so that they can easily adjudicate claims and easily find providers."

#mPulse #HXI #PersonalizedCare #HealthExperienceInsights #DigitalHealth

mPulse.com

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Bob Farrell, CEO of mPulse, is using digital technology, data analytics and AI to improve the relationship between health plans and their members in order to improve health outcomes and operational efficiency. Bob introduces the concept of HXI, Health Experience and Insights, as a framework that unites data, intelligence, and personalized communication to provide tools to enage members at the best time and by the preferred methods with appropriate information at the right time. Analyzing claims data enables plans to identify high-risk patients, promote preventive care, and build health literacy.

Bob explains, "The mission of mPulse, and this has really been the mission of the company since its founding in 2015, is to improve the health outcomes of our customers' members and patients. So we're looking to close gaps in care. We're looking to increase literacy so that members and patients can understand their health plans. So providers can take charge of healthcare and improve those outcomes. And while we're doing that, we try to help our customers improve their operational efficiencies. Most of our customers are health plans and they range from small community plans to large nationals. The 60 largest plans are our customers. We have a wide array of customers and continue to expand on that base, both with new customers and by doing more with the customers that we have."

"Health plans are not known to be the early adopters of technology. So you're right. A lot of them are still transitioning from older ways of doing things. But in general, health plans have a huge trust issue with their members, and it has really resulted from a lack of engagement, a lack of positive experience. So we see a lot of health plans looking to embrace technology to improve the member experience, make sure that those members are getting outreach. Not just now and then, but during the whole course of their consumer health journey, so that they can be aware of what things they have available to them, so that they can easily adjudicate claims and easily find providers."

#mPulse #HXI #PersonalizedCare #HealthExperienceInsights #DigitalHealth

mPulse.com

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Rick Pierce, Co-Founder and CEO of Decoy Therapeutics. is using AI and machine learning to accelerate drug discovery and is developing broad-acting antivirals using peptide conjugates that target a shared invasion mechanism of hundreds of viruses. The company is using small language models and a high-speed peptide synthesizer to dramatically reduce drug creation time. Rick predicts that the future of drug discovery will combine AI-driven design with advanced biological models, such as organoids, to better predict drug toxicity and efficacy.

Rick explains, "Decoy Therapeutics was founded years ago, during the COVID era. And what we've learned during that was that in order to develop drugs rapidly and scale up their manufacturing, we needed to use machine learning and AI. And the drugs that we're looking at developing today as a result of that are broad-acting antivirals that can be used against multiple viruses. So one drug can be used against multiple viruses like Flu, COVID, and RSV."

"So we chose antivirals as a space because viruses have what is called polypharmacology, and in plain layman's terms, what that means is that about 250 of these viruses share the same invasion machinery, meaning the way the virus enters the healthy cells is shared across all those viruses. It's slightly different in each of those viruses, but effectively for drug development, very similar."

"That allows us to use peptides, which are also alpha helices, to be able to design drugs with AI and machine learning that physically block the invasion machinery and thus basically the virus from binding to a healthy cell. Peptides are uniquely positioned as drugs for this set of viral targets. Again, it's a rich set of targets among 250 viruses across multiple viral families."

#DecoyTherapeutics #PeptideConjugates #BroadSpectrumAntiviral #AIinBiotech #NextGenMedicine

decoytx.com

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Rick Pierce, Co-Founder and CEO of Decoy Therapeutics. is using AI and machine learning to accelerate drug discovery and is developing broad-acting antivirals using peptide conjugates that target a shared invasion mechanism of hundreds of viruses. The company is using small language models and a high-speed peptide synthesizer to dramatically reduce drug creation time. Rick predicts that the future of drug discovery will combine AI-driven design with advanced biological models, such as organoids, to better predict drug toxicity and efficacy.

Rick explains, "Decoy Therapeutics was founded years ago, during the COVID era. And what we've learned during that was that in order to develop drugs rapidly and scale up their manufacturing, we needed to use machine learning and AI. And the drugs that we're looking at developing today as a result of that are broad-acting antivirals that can be used against multiple viruses. So one drug can be used against multiple viruses like Flu, COVID, and RSV."

"So we chose antivirals as a space because viruses have what is called polypharmacology, and in plain layman's terms, what that means is that about 250 of these viruses share the same invasion machinery, meaning the way the virus enters the healthy cells is shared across all those viruses. It's slightly different in each of those viruses, but effectively for drug development, very similar."

"That allows us to use peptides, which are also alpha helices, to be able to design drugs with AI and machine learning that physically block the invasion machinery and thus basically the virus from binding to a healthy cell. Peptides are uniquely positioned as drugs for this set of viral targets. Again, it's a rich set of targets among 250 viruses across multiple viral families."

#DecoyTherapeutics #PeptideConjugates #BroadSpectrumAntiviral #AIinBiotech #NextGenMedicine

decoytx.com

Download the transcript here