Today, I’m joined by Dr. Lisa Shah, Chief Medical Officer at Twin Health.
Replacing population averages with personal biomarkers, Twin Health leverages digital twin technology to address root causes of metabolic conditions like obesity and diabetes.
In this episode, we discuss how machine learning is transforming disease management.
We also cover:
Building a GLP-1 off-ramp
Balancing AI with human support
Achieving a 71% diabetes reversal rate
The Fitt Insider Podcast is brought to you by EGYM. Visit EGYM.com to learn more about its smart workout solutions for fitness and health facilities.
Chapters: (00:00) Introduction
(02:00) Digital twin technology explained and healthcare applications
(04:15) Why digital twin technology is finally possible now
(08:30) Turning 3K daily data points into actionable guidance
(11:15) Balancing digital twin AI with human care team support
(15:00) Clinical outcomes and New England Journal of Medicine study
(19:15) Root cause solutions vs symptom management
(21:15) Scaling from employer benefits to consumer prevention
(24:00) Value-based care approach vs. direct-to-consumer model
(27:15) Digital twin complexity across multiple health systems
(31:00) Building trust through real-time feedback loops
(33:00) Agentic AI applications in healthcare delivery
(37:42) Future roadmap
(40:15) Conclusion
We break down how fitness, wellness, and healthcare are converging — and what it means for business, culture, and capital.
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