Eureka!

Novartis’s chief data and digital officer for biomedical research explains how data platform investments are paying off in AI safety prediction, generative chemistry, and faster translation

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Bob Li, AstraZeneca's Senior Vice President, Global Head of Medical Affairs, Oncology, on why only seven percent of cancer patients get access to clinical trials, and what decentralized trials, AI, and international collaboration could do to change that within a decade. 

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McKinsey partner Fangning Zhang discusses what’s driving China’s acceleration in drug discovery, why intense competition is fueling speed and cost efficiency, and what global R&D leaders need to do to build a genuine China strategy.

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Bayer’s Senior Vice President and Head of Data Science and AI, Sai Jasti, on how the company is transforming its workflows and embedding AI in research and development to meet ambitious productivity goals.

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Greg Meyers, Executive Vice President and Chief Digital & Technology Officer at Bristol Myers Squibb (BMS) discusses how technology can be leveraged to drive outcomes.

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Lykke Hinsch Gylvin shares how Boehringer Ingelheim’s innovative clinical trial designs bring therapies to patients faster.

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John Marioni discusses how he and his teams across industries and academia use evolving technologies to bring sophisticated drug therapies to patients.

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In this episode of Eureka!, a McKinsey podcast on innovation in life sciences R&D, hosts Navraj Nagra, Alex Devereson, and Meredith Langstaff speak to Ashita Batavia, head of hematology and oncology data sciences, R&D, at Johnson & Johnson Innovative Medicine (J&J). They discuss how real-world data can better inform clinical trials, the shifts in mindsets and capabilities needed to support AI in biopharma, and how to navigate the complexity of clinical trials with more-pragmatic trial designs.

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In this episode, hosts Navraj Nagra and Alex Devereson speak to Kim Branson, senior vice president and global head of AI and machine learning at GSK. They discuss how these emerging technologies are being used to potentially reshape how drugs are developed and about the complexities AI and machine learning introduce in data management, cross-functional collaboration, and responsible innovation.

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In this episode, Howard Jacob, AbbVie’s vice president of genomics research and head of data integration, discusses early adoption of data integration at AbbVie, the challenges of medical silos, and the steps needed to build novel AI and machine learning capabilities with McKinsey’s Alex Devereson, Erika Stanzl, and Navraj Nagra. Together, explore how AI and genomics can better define diseases and discuss the importance of building trust in new technologies through patient-centric initiatives.

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