AI for Medicine

Thomas Clozel, CEO and co-founder of Owkin, the federated data network startup boosting AI for medicine, interviewed by futurist Trond Arne Undheim. 

In this conversation, they talk about integrating AI and system biology to enable breakthrough medical moments. They explore how machine learning can be used to augment medical and biological research. In Owkin’s federated learning approach, the data stays put with the owners, but the learning models travel. Theydiscuss the data heterogeneity in healthcare, the need for interoperability, and we touch on hype versus reality.

The takeaway is that AI for medicine is here to stay, it has come far, but has bumped into some fundamental obstacles—interoperability, explainability, privacy, and transparency—that need to be resolved before reaching its full potential. That’s even more important than evolving the base technology to become more efficient. This is why federated learning is such a crucial experiment. Can it work? Will it satisfy everyone? Time will show. AI is not monolithic and neither is medicine. There seems to be many contenders for glory, and there are many puzzles to solve. They won’t all go away this decade. 

After listening to the episode, check out Owkin as well as Thomas Clozel’s online presence:

The show is hosted by Podbean and can be found at Additional context about the show, the topics, and our guests, including show notes and a full list of podcast players that syndicate the show can be found at Music: Electricity by Ian Post from the album Magnetism. 

For more about the host, including media coverage, books and more, see Trond Arne Undheim’s personal website ( as well as the Yegii Insights blog ( Undheim has published two books this year, Pandemic Aftermath and Disruption Games. To advertise or become a guest on the show, contact the podcast host here. If you like the show, please subscribe and consider rating it five stars.