Frequently Asked Questions

What is SCOPE X?

SCOPE X: AI Innovation in Clinical Research is a two-day event focused on the practical implementation of artificial intelligence across clinical trials. Part of the trusted SCOPE series, it brings together clinical research leaders, technology innovators, AI start-ups, and subject-matter experts to explore how AI can improve trial design, operations, decision-making, and delivery.

When and where will SCOPE X 2027 take place?

SCOPE X will take place May 17–18, 2027, at the Hynes Convention Center in Boston, Massachusetts, with a virtual participation option.

Who should attend SCOPE X?

SCOPE X is designed for clinical research executives, clinical operations leaders, heads of clinical transformation and AI, technology innovators, AI start-ups, data and analytics professionals, and other experts working to implement AI across clinical research.

What programs will be featured at SCOPE X 2027?

The 2027 event will feature three focused programs: AI Across the Clinical Trial Lifecycle; Agent Validation, Trust, Governance & Economics; and AI for Smarter Trials.

What topics will be covered?

Key topics will include AI applications across trial design and operations, scaling adoption, managing costs, demonstrating value, validation and governance, human oversight, agentic AI, predictive intelligence, modeling, forecasting, and data-driven decision-making.

What can attendees expect from the event?

Attendees can expect an interactive short course, engaging sessions, detailed case studies, collaborative problem-solving, practical insights, and high-value networking. The program is designed to help participants move beyond theoretical conversations and identify strategies they can apply within their own organizations.

Why attend SCOPE X?

SCOPE X provides a focused environment for examining how AI is being implemented across clinical research today. Attendees will connect with peers, learn from real-world experiences, evaluate emerging technologies, and explore practical approaches to making clinical trials smarter, faster, and more effective.


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Programs


AI across the Clinical Trial Lifecycle

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