In this episode, host Kevin Cirilli sits down with Terry Poon, CTO and Co-Founder of Twin Health, to explore how AI is being used to create digital models of a person’s metabolic health that update in real time. Twin Health combines data from continuous glucose monitors, activity and sleep trackers, lab results, and daily nutrition to build a personalized picture of how the body responds throughout the day.

Kevin and Terry break down how these digital models help people with metabolic conditions such as Type 2 diabetes understand which foods keep their blood sugar steady, how sleep influences their metabolism, and when movement makes the biggest impact. They also explain how clinicians use these insights to tailor care plans and support patients in reducing medication use when appropriate.

This episode looks ahead to a future where healthcare becomes more proactive and personalized, guided by a digital model that helps people make informed decisions long before problems develop. It is a practical and forward-looking conversation about how continuous data and AI are reshaping everyday health.