The Future of AI-Driven CGM in Diabetes & Metabolic Health

In this episode, Dr David Kerr continues his look at AI-driven CGM tools and the future of diabetes and metabolic health. He’s joined by Stanford W. Ascherman Professor of Genetics, Dr Michael Snyder to hear the latest on emerging technologies, and the shift towards integrative and personalised healthcare.

They discuss:

• How AI and CGM technology is transforming diabetes and metabolic health management

• AI identification of diabetes subtypes and personalised interventions

• Impact of physical activity, sleep, and stress on glucose levels, as well as the emerging role of gut microbiome health in metabolic wellness

• Potential of AI-driven tools for early intervention and improved health outcomes

Dr Snyder is the Stanford W. Ascherman Professor of Genetics and Director at the Stanford Center of Genomics and Personalized Medicine. He is a leader in the field of functional genomics and proteomics, and co-founder of many biotechnology companies, including Personalis, SensOmics, Qbio @qbioinc, January AI, Filtricine, Mirvie, and Protos.

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