From Sick Care to Predictive Medicine #6 Twin Things Podcast

What if medicine could move from treating disease after symptoms appear to predicting when something is starting to go wrong?In the sixth episode of Twin Things, Kasia Baliga-Nicholson talks with Cyrille Thinnes, Engagement Manager for the Virtual Metabolic Human and Research Fellow at the Digital Metabolic Twin Centre, University of Galway.Together, they explore how digital metabolic twins could help us better understand the complexity of the human body, connect patient data with computational models, and move healthcare from reacting to disease toward predicting and preventing it.This is a conversation about metabolism, microbiomes, patient involvement, clinical decision-making, and the challenge of bringing digital twin technologies into real medical systems.Twin Things Podcast explores how scientists, engineers, and creatives use simulations and digital twins to understand the real world. It’s where technology meets real human stories.https://sano.science/https://www.instagram.com/sanoscience/https://www.linkedin.com/company/sanosciencehttps://twitter.com/sanosciencehttps://www.facebook.com/sano.science/https://bsky.app/profile/sanoscience.bsky.socialhttps://podcasts.apple.com/us/podcast/twin-things-podcast/id1896467901https://open.spotify.com/show/033cCZGXblNZLf3l7JYNag