The AI in Business Podcast Transforming Trial Design and Patient Data with Deterministic AI - with Emma Vitalini of Amgen
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Jan 20, 2026 Emma Vitalini, Head of Global Digital Health Technology Innovation at Amgen, dives into the future of clinical trials and AI. She discusses the challenges of data delays and how AI can streamline site performance by identifying high-capacity locations. Emma highlights the potential of AI tools for enhancing patient engagement and monitoring through real-time capabilities. She also explains the concept of digital health twins for personalized medicine, providing practical guidance for leaders on building diverse datasets and ensuring regulatory trust. A fascinating exploration of technology's impact on healthcare!
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Late And Incomplete Data Is A Core Bottleneck
- Clinical trial data often arrives late and incomplete due to periodic collations and manual processes.
- AI can reveal missing or unclean records earlier so teams avoid end-of-study rushes and rework.
Prioritize Sites By AI-Driven Performance Signals
- Use AI to profile site performance and identify which sites will recruit faster or need support.
- Target resources and training to underperforming sites to accelerate enrollment and reduce delays.
Intelligent Digital Twins Personalize Trial Experience
- Intelligent digital health twins can learn from patient data and personalize interactions over time.
- These twins improve patient understanding, reduce dropouts, and offer tailored training for sites and patients.