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

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Twin Health's Website: www.twinhealth.com

Dr. Lisa Shah's LinkedIn: https://www.linkedin.com/in/lisa-shah-4a297b19/

Twin Health's Facebook: https://www.facebook.com/twinhealthusa/

Twin Health's Instagram: https://www.instagram.com/twinhealthusa

Twin Health's LinkedIn: https://www.linkedin.com/company/twinhealth/

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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