Just Now Possible

Building Agent Studio: How Medable Is Using Agentic AI to Accelerate Clinical Trials

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Guests

  • Luke Bates, Product Leader (Agent Studio), Medable
  • Jen Brown, Product Manager, Medable
  • Matt Schoolfield, Product Designer, Medable
  • Fiachra Matthews, Principal Architect, Medable

    • What we cover in this episode:

    • What Medable does: enabling global clinical trials across 100+ languages and accelerating drug-to-market timelines
    • The two agents built on Agent Studio—ETMF (document classification) and CRA (clinical data monitoring)—and the problems they solve
    • Why Medable chose a platform approach to agents instead of one-off builds
    • How Agent Studio works: models, skills, knowledge bases, MCP connectors, versioning, and trigger types
    • Three deployment models: Medable-built products, services-led custom builds, and self-serve platform access
    • RAG approaches at scale: embeddings vs. markdown hierarchies vs. just-in-time MCP retrieval
    • How they built a unified ontology layer to map terminology across 13 different clinical data systems
    • Why they built custom MCPs with an authentication and credentialing wrapper
    • Context window management with sub-agents and automatic tool filtering
    • Evaluation design in a GXP-regulated environment: golden datasets, production monitoring, and the challenge of human feedback as ground truth
    • How they document agent intent → specification → test evidence to satisfy regulatory bodies
    • The "full self-driving" vision for clinical trials and what it would take to get there

      • Resources & Links

      • Medable - Clinical trial platform powering Agent Studio

        • Chapters

        00:00 Meet The Medable Team
        01:14 Medable Mission And Scope
        03:27 Agent Studio Platform Overview
        06:29 ETMF Document Automation
        08:47 CRA Agent For Monitoring
        10:40 Clinical Trial Workflow Primer
        14:34 Why Build A Platform
        17:51 Learning AI As A Team
        21:47 Early Days Of Agent Studio
        23:15 How Agents Are Built
        25:15 Customer Adoption And UX
        30:00 Skills And MCP Standards
        31:15 Scaling Context Retrieval
        33:07 RAG Patterns And Tradeoffs
        34:48 Ontology Data Layer Explained
        38:01 Customer Friendly Agent Setup
        42:19 MCP Security And Connectors
        44:36 Tool Bloat And Subagents
        50:44 Evals For Reliable Agents
        54:40 Human Feedback Isn’t Truth
        57:43 GXP Compliance For Agents
        01:03:34 Full Self Driving Trials

        ...more
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        Just Now PossibleBy Teresa Torres