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 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 The conversation highlights the importance of digital therapeutics and the challenges of outdated document processes.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.

Anne Phelan, Chief Scientific Officer at BenevolentAI, discusses how AI accelerates drug discovery by predicting drug properties and pharmacology. The podcast explores AI's role in target identification, designing molecules, and enabling more personalized treatments. It also highlights AI's impact on revolutionizing ulcerative colitis treatment and enhancing drug discovery efficiency in life sciences.

Dr. Dan Elton, a Data Scientist at Mass General Brigham, discusses the shift from reactive to proactive healthcare using AI. Topics include leveraging radiology data, personalized treatment, risk communication, AI applications in healthcare, limitations of smartwatch data, genetic data sensitivity, and empowering patients with clear risk information.

Prashant Natajaran from H2O.ai discusses the impact of generative AI in healthcare. Topics include enthusiastic adoption, future models, private-public sector integration, and AI influence in healthcare organizations.

Asif Hasan, Co-founder of Quantiphi, discusses AI's impact on reducing hallucinations in healthcare language models and streamlining drug discovery for rare disorders. They explore how Generative AI is revolutionizing drug discovery processes, addressing cost-effective solutions, and enhancing language models with retrieval mechanisms to improve accuracy and reduce hallucinations in regulated contexts. The conversation also highlights the importance of streamlining AI implementation and having experienced champions in organizations