Decentralized Trials That Scale Globally Without Compliance Risks - with Emma Vitalini of Amgen

Decentralized Trials That Scale Globally Without Compliance Risks - with Emma Vitalini of Amgen

Author: Daniel Faggella April 7, 2026 Duration: 30:03
Today's guest is Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen. Amgen is a global biotechnology company focused on discovering, developing, and delivering medicines for serious illnesses. Emma joins Emerj Editorial Director Matthew DeMello to examine how data and AI are reshaping patient recruitment, decentralized clinical trials, and compliance workflows in highly regulated healthcare environments.

Emma also discusses practical ways AI can surface unstructured genomic and clinical data to improve patient identification, how API-based access supports hypothesis testing without large-scale data movement, and how modular consent and explainable AI frameworks help sponsors scale trial operations while maintaining regulatory trust and patient transparency.
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Hosted by Daniel Faggella, The AI in Business Podcast cuts through the technical jargon to focus on what matters for leadership. This is a conversation for executives and decision-makers who know artificial intelligence is a strategic imperative but need clarity on how to actually integrate it. The focus is squarely on identifying real-world opportunities, ensuring AI projects align with broader business goals, and ultimately demonstrating a tangible return on investment. Rather than theory, each episode delivers grounded insights through interviews conducted by Emerj's research team with top AI practitioners. Their guests come directly from the trenches of major Fortune 2000 companies and pioneering unicorn startups, sharing firsthand accounts of what works. You'll hear specific use-cases, emerging trends, and the often-overlooked best practices that separate successful adoption from costly missteps. This podcast provides a direct line to the actionable knowledge needed to make informed, confident decisions about where and how to apply AI in your organization. It’s an ongoing resource for any leader looking to move beyond the hype and translate capability into concrete business advantage.
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