Sunday, October 25, 2026

EMA Draft ADR Data Quality Framework: AI in Pharmacovigilance Must Remain Human-Controlled and Lifecycle-Monitored


Introduction⇒ EMA's new draft Data Quality Framework for adverse drug-reaction reporting addresses AI-assisted pharmacovigilance, requiring human final decisions, model validation, performance monitoring, documentation, regular review and strong data-lifecycle controls.

The European Medicines Agency has opened a public consultation on a new draft chapter of the Data Quality Framework for EU medicines regulation.

Published on 19 October 2026, the document addresses the collection, management and submission of adverse drug-reaction reports for both human and veterinary medicines.

The consultation remains open until:

14 December 2026.

Although the document is primarily about pharmacovigilance data quality, it contains an unusually clear regulatory statement about the use of artificial intelligence in safety-data management.

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Saturday, October 17, 2026

EMA Coordinates the Next Wave of Pharmaceutical AI Guidance


Introduction⇒ EMA has established an AI Guidance Coordination Group and is advancing horizontal machine-learning principles and dedicated clinical-development guidance, supported by international convergence and AI-ready regulatory data infrastructure.

The European medicines regulatory network is preparing a more coordinated framework for artificial intelligence across the medicines lifecycle.

Summary notes published by EMA on 14 October 2026 confirm several important developments:

  • a newly established AI Guidance Coordination Group;
  • planned horizontal guidance on good machine-learning practice;
  • dedicated AI guidance for clinical development;
  • continued EMA–FDA work on common AI terminology;
  • greater attention to AI-ready regulatory data infrastructure.

These developments are strategically important because pharmaceutical AI guidance has so far emerged through several separate initiatives.
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MHRA Strategy 2030: AI Moves into the Core of Medicines Regulation and Safety


Introduction⇒ MHRA Strategy 2030 places AI at the centre of medicines regulation through an AI clinical-trial protocol checker, a 2027 AI Medicines Development Action Plan, real-time safety analytics and a new Centre for AI and Digital Health.

The UK Medicines and Healthcare products Regulatory Agency has placed artificial intelligence at the centre of its five-year regulatory strategy.

Published on 14 October 2026, the MHRA Strategy 2030 describes how the Agency intends to modernise medicines and medical-device regulation in response to rapid advances in artificial intelligence, data science, personalised medicines and advanced therapies.

The significance of the strategy is not simply that MHRA supports innovation.
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