GenAI and LLM Applications in Life Sciences - with Ben Coverdale of Patsnap
AI in Healthcare and Life Sciences Podcast
Release Date: 12/05/2024
Driving Drug Targeting Efficiencies with LLMs and GenAI - with Ben Coverdale of Patsnap
AI in Healthcare and Life Sciences Podcast
Today’s guest is Ben Coverdale, Global Account Director of Life Sciences at Patsnap. Patsnap is a healthcare technology company that provides IP and R&D teams with enhanced insights to make informed and timely decisions. Using a specialized AI model and the Hiro assistant, the platform boosts productivity and reduces inefficiencies across the innovation lifecycle. Ben returns to the show to dive deeper into the real-world applications of generative AI and large language models (LLMs) that are reshaping the drug discovery landscape. He provides a closer look at use cases where AI is not...
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GenAI and LLM Applications in Life Sciences - with Ben Coverdale of Patsnap
AI in Healthcare and Life Sciences Podcast
Today’s guest is Ben Coverdale, Global Account Director of Life Sciences at Patsnap. Patsnap is a healthcare technology company that provides IP and R&D teams with enhanced insights to make informed and timely decisions. Using a specialized AI model and the Hiro assistant, the platform boosts productivity and reduces inefficiencies across the innovation lifecycle. Ben joins us on today’s program to explore the transformative role of generative AI and large language models (LLMs) in life sciences. His discussion with Emerj Senior Editor Matthew DeMello covers how data silos are...
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Solving the Go-to-Market Inefficiencies of Life Sciences - with Rajvir Madan of Arcutis Biotherapeutics
AI in Healthcare and Life Sciences Podcast
Today’s guest is Rajvir Madan, Chief Digital and Information Technology Officer at Arcutis Biotherapeutics. Arcutis Biotherapeutics is a biopharmaceutical company that develops therapies for skin-related conditions. Rajvir joins us on today’s show to explore the pressing challenges and exciting opportunities within the life sciences industry. From long development timelines to the complexities of regulatory submissions, Rajvir highlights why the traditional approach to bringing new treatments to market—often spanning over a decade—needs urgent rethinking. If you’ve enjoyed or...
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Driving Data Efficiencies in Healthcare - with RJ Kedziora of Estenda Solutions
AI in Healthcare and Life Sciences Podcast
Today’s guest is RJ Kedziora, Co-founder, Partner, Chief Operating Officer, and Chief Technology Officer at Estenda Solutions. Estenda is a healthcare and medical custom software development, data analytics, and consulting company with 20 years of experience in digital health. RJ joins us on today’s episode to explore where the industry is seeing use cases for leveraging new AI capabilities to help drive data efficiencies. Once these technologies are commonplace, RJ shares what he thinks the future of data in healthcare spaces is going to look like. To discover more AI use cases, best...
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Leveraging Data in Healthcare Organizations - with RJ Kedziora of Estenda Solutions
AI in Healthcare and Life Sciences Podcast
Today’s guest is RJ Kedziora, Co-founder, Partner, and Chief Operating and Technology Officer at Estenda Solutions. Estenda is a healthcare and medical custom software development, data analytics, and consulting company with 20 years of experience in digital health. RJ joins us on today’s program to talk about challenges for healthcare leaders in driving the data necessary to take advantage of these new use cases in generative AI and beyond. Throughout the episode, RJ provides measured and tested frameworks for tackling new opportunities in the standardization and interoperability of...
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Driving Patient Experiences Through Data Science-Driven Approaches to Infrastructure - with Xiong Liu of Novartis
AI in Healthcare and Life Sciences Podcast
Today’s guest is Xiong Liu, Director of Data Science and AI at Novartis. Xiong joins us on the program today to offer life sciences leaders a framework for driving meaningful data infrastructure advancements at their organizations. Xiong emphasizes the need for robust data quality, ethics considerations, and scalability to ensure practical applications in real-life use cases. Later, he highlights the importance of understanding customer perspectives, aligning business goals with AI efforts, and leveraging graph databases to manage large-scale healthcare data. If you’ve enjoyed or benefited...
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Winning Buy-In for Life Sciences Manufacturing and Supply Chain Management - with Shreyas Becker of Sanofi
AI in Healthcare and Life Sciences Podcast
Today’s guest is Shreyas Becker, Head of AI & Data Products, Manufacturing & Supply at Sanofi. Shreyas returns to the Emerj podcast platform to talk about best strategies for driving digital transformation in life sciences organizations. Throughout the episode, he offers cogent and tested advice through the lens of manufacturing workflows for the ends of managing up and winning executive buy-in for systems and initiatives where the road to ROI can be opaque. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple...
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Easing Patient Pain Points Between Healthcare and Insurance Workflows - with Tom Hayes and Gareth Dabbs of IQVIA
AI in Healthcare and Life Sciences Podcast
Today’s guests are Tom Hayes and Gareth Dabbs, Senior Director of Product Strategy & Commercialization and Global Technology Product Strategy Lead at IQVIA, respectively. They return to the p to share two use cases helping to drive quality patient experiences between healthcare and insurance workflows. The first focuses on optimizing omnichannel marketing for compliance. The second use case centers on building trust and value in caretaker support systems through personalized insights. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a...
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Driving Drug Discovery Efficiencies in Life Sciences with AI - with Anne Phelan of Benevolent
AI in Healthcare and Life Sciences Podcast
Today’s guest is Anne Phelan, Chief Scientific Officer at BenevolentAI. Benevolent is a global leader in applying advanced AI to accelerate pharmaceutical drug discovery, leveraging the latest technologies to uncover new biology, predict novel targets, and develop treatments for some of the world’s most complex diseases. Anne joins the program today to give us an insider’s view into how her team uses a suite of cutting-edge tools to predict the properties of a drug, as well as its pharmacology and suitability for dosing in humans. This episode is sponsored by BenevolentAI. To learn more...
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Generative AI for Healthcare - with Dr. Dan Elton of Mass General Brigham
AI in Healthcare and Life Sciences Podcast
Today’s guest is Dr. Dan Elton, a Data Scientist at the Mass General Brigham Data Science Office. He’s also a fellow at the Foresight Institute and previously served as a staff scientist at the National Institutes of Health. Dan returns to the Emerj podcast platform following his appearance on the ‘AI in Business’ podcast to clarify his vision for what he sees as the future of ‘preventative care’ as healthcare workflows fuse with advanced technologies. Throughout the episode, Dr. Elton clarifies the industry trends and market forces keeping the sector locked in a ‘reactive’...
info_outlineToday’s guest is Ben Coverdale, Global Account Director of Life Sciences at Patsnap. Patsnap is a healthcare technology company that provides IP and R&D teams with enhanced insights to make informed and timely decisions. Using a specialized AI model and the Hiro assistant, the platform boosts productivity and reduces inefficiencies across the innovation lifecycle. Ben joins us on today’s program to explore the transformative role of generative AI and large language models (LLMs) in life sciences. His discussion with Emerj Senior Editor Matthew DeMello covers how data silos are dissolving as companies adopt integrated LLM strategies, offering new possibilities for collaboration and efficiency. Ben provides insight into the practical applications of LLMs, the promise they hold for optimizing R&D, and the potential impact on the regulatory landscape. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!