AI in Pharma R&D: From Hype to Regulated Impact
AI at Scale in Regulated R&D
Practical challenges of implementing AI across predictive clinical and discovery domains, covering GxP frameworks, integration with LIMS, and regulatory compliance across the R&D lifecycle.
Real World Implementation
The discussion focused on practical challenges including repeatability, how to move from early exploration to inspection-ready systems that support quality and decision making.
Event at a Glance
350+
Registrations
90+
Unique Viewers
3,364
Minutes Watched
Featured Voices
Visionaries who led the conversation.
Dr. Sarah Mitchell
VP, Quality & Compliance, Merck
Abhishek Shukla
CEO & Founder, xLM Continuous Intelligence
60 Minutes ofPractical Insight
March 12, 2026
Full access session recording available on demand.
60 Minutes of Content
Candid discussion covering governance, compliance, and AI adoption in pharma R&D.
Detailed Event Overview
The LinkedIn Live event brought together industry expertise to explore how AI is being integrated into pharmaceutical R&D within regulated environments. From lab-based discovery to clinical trial optimisation, the session highlighted practical approaches to making AI inspection-ready while accelerating innovation.
AI at scale across R&D
How to operationalise AI within GxP frameworks for compliant and scalable deployment across the R&D pipeline.
Governance and risk-based validation
How risk-based governance enables safe and efficient AI adoption across R&D domains.
Data integrity and quality translation
How AI integrates with quality systems to ensure auditability, traceability, and accuracy.
Audit-readiness
The importance of explainability, transparency, and audit-readiness to ensure AI is regulated as required.