Episode #168. How AI Is Unlocking Breakthroughs From Both Massive And Minimal Data, with Yves Lussier, Chair of Biomedical Informatics and Professor of Medicine

Advances in AI are transforming both large-scale population analytics and ultra-precise, small-data insights that can guide individualized treatment.

In this episode, Yves Lussier, Chair of Biomedical Informatics and Professor of Medicine, discusses the deep legacy of innovation behind modern electronic health records, the evolution of biomedical informatics, and the rise of AI techniques that extract meaning from both massive and minimal datasets. He explains how the “blessing of dimensionality” enables N-of-1 precision genomics, why counterfactual data and adversarial risks matter for large language models, and how engineered negative datasets could strengthen future AI systems. He also reflects on his entrepreneurial journey, from pioneering pen-based AI medical records in 1991 to building clinical data warehouses and founding major bioinformatics programs. Yves shares lessons on risk, career leaps, and the cultural ecosystems that fuel innovation. 

Tune in and learn how cutting-edge informatics is reshaping research, care, and the future of AI-driven medicine!

Resources:

• Connect with and follow Yves Lussier on LinkedIn.

• Follow the University of Utah School of Medicine on LinkedIn and visit their website!

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