Today’s guest is Fred Manby, CTO and Co-founder of Iambic Therapeutics. Iambic uses algorithms to drive a high-throughput experimental platform that specializes in developing new drug discovery techniques. Fred returns to the program to explore the next frontier of AI-driven drug discovery. Building on the previous discussion, this episode delves into the transformative role of automation, data generation, and predictive modeling in pharmaceutical development. This episode is sponsored by Iambic Therapeutics. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Today’s guest is Fred Manby, CTO and Co-founder of Iambic Therapeutics. Iambic uses algorithms to drive a high-throughput experimental platform that specializes in developing new drug discovery techniques. Fred joins us on today’s program to discuss the evolving landscape of drug discovery in life sciences. With AI playing an increasingly critical role, the conversation explores the biggest challenges facing drug discovery workflows and how life sciences leaders can better leverage data-driven tools to address them. 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!

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 just enhancing traditional processes but enabling entirely new possibilities in drug targeting and sequencing that were previously unimaginable. 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!

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 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!

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 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!

RJ Kedziora, Co-founder and CTO of Estenda Solutions, dives into transformative AI applications in healthcare. He discusses how technologies like natural language processing are reshaping data access and efficiency. The conversation highlights the importance of digital therapeutics and the challenges of outdated document processes. RJ also explores the shift towards value-based care, emphasizing a holistic approach to patient management. With decades of experience, he offers insights into the future of healthcare data and its incredible potential.

RJ Kedziora, Co-founder and CTO of Estenda Solutions, dives into the intricate world of healthcare data and its intersection with generative AI. He discusses the challenges leaders face in integrating data across various systems while maintaining HIPAA compliance. RJ highlights the importance of interoperability and data quality, pointing out biases that can arise in AI applications. He also stresses the need for strategic frameworks to facilitate digital transformation, ensuring that data accessibility drives better patient care and outcomes.

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 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!

Shreyas Becker from Sanofi discusses strategies for digital transformation in life sciences manufacturing, focusing on gaining executive support and aligning AI projects with business goals. He emphasizes stakeholder alignment, ROI challenges, and the shift towards optimizing inputs in AI for excellence.

Tom Hayes and Gareth Dabbs of IQVIA discuss optimizing omnichannel marketing for compliance and enhancing caretaker support systems. They explore the importance of trust-building with healthcare providers, personalized insights, generative AI feedback, and challenges in integrating technology for better healthcare workflows. The podcast emphasizes building trust in healthcare AI, improving healthcare outcomes with generative AI, and the significance of human validation alongside AI insights.