
Digital Twins in Claude: How BioPharma Can Build Forecast and Supply Models
“The level of comfort with AI use in this space is pretty low right now.” Mike Boyson’s observation cuts to the heart of pharma’s AI dilemma. Hesitation is justified—but it shouldn’t paralyze action. His answer: build practical, compliant digital twins that operators can create in Claude without waiting for IT.
Mike is a supply chain and pharmaceutical operations leader with over 20 years of experience spanning CMC strategy, external manufacturing, and digital transformation. He spent more than a decade at Takeda leading oncology and biologics supply chain operations, served as Executive Director of Value Chain Leadership at Moderna, and now advises organizations at Azure Biopharma Consulting on adopting AI-driven solutions.
In a recent PharmaSource podcast episode, Mike shares concrete use cases for digital twins, explains how to build them without deep technical expertise, and addresses the GXP compliance, data confidentiality, and human-centered challenges that will define pharma AI adoption.
Watch the video to accompany this episode here
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