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AI Agents
What happened at ESMO AI & Digital 2025
The 2025 ESMO AI & Digital Oncology Congress, held in Berlin from November 12 to 14, highlighted the accelerating role of artificial intelligence across the oncology care continuum. Although imaging and pathology remain the most established fields for AI adoption, this year’s programming revealed a decisive shift toward workflow-integrated AI that enhances clinical operations, supports trial efficiency, and addresses the realities of patient monitoring.
Across three days of sessions, side-room conversations, and industry demonstrations, one theme was clear. AI is evolving from experimental add-on technology into a practical clinical teammate, but scaling its impact will require robust validation, seamless integration, and a sustained focus on clinician trust.
Not just a tool: How AI agents become trial teammates
Explore how agentic AI is transforming clinical trials by automating routine tasks and boosting team efficiency with real-world, low-risk use cases.
Rewriting the Future of Clinical Trials: AI, Agility, and the Portfolio-First Mandate
In a rapidly changing research landscape, leaders at Takeda, Novartis, Sanofi, Daiichi Sankyo, and Medable share firsthand insights into how artificial intelligence is reshaping clinical trial operations.
This exclusive whitepaper explores how forward-thinking organizations are reimagining trial design, execution, and scaling to meet the demands of speed, precision, and patient-centricity across their entire portfolio.
Vibe coding is real: The rise of the developer as agent manager
By Tim Smith, Co-Founder & CTO,Medable
In today’s rapidly evolving tech landscape, vibe coding is opening up exciting opportunities by blending human expertise with smart agents to give every engineer incredible leverage and productivity. This new approach invites us to embrace innovative tools that drive greater scale and impact. But it’s not enough to just pick up new practices—success demands a significant mental shift and a change in approach. Developers must move beyond their traditional roles as individual contributors and evolve into “agent managers.” This means blending deep technical expertise with the strategic oversight of a manager, actively coaching intelligent agents so that each interaction builds on the last and contributes to a cohesive, scalable solution.