Shaping EU medicines regulation in the post COVID-19 era.

The EU Medicines Regulatory Network (EMRN), comprised of the European Medicines Agency (EMA), the medicines regulatory authorities of the Member States and the European Commission (EC), is operating amid a complex crisis that has positioned regulators centre stage due to their key role in the development, approval and safety monitoring of vaccines and treatments for COVID-19. Here we consider the EMA's and EMRN's response to the pandemic and some of the early learnings that will help reshape medicines regulation in the post COVID-19 era. We also reflect on how some of these learnings will be formally followed up under revised EU legislation to extend EMA's mandate, reinforcing its role in crisis preparedness and response.

Navigating stormy waters: 10 years of operation of the European Union Regulatory Network Incident Management Plan for Medicines for Human Use.

Purpose: The article provides an overview of the European Union Incident Management plan (EU-IMP) and reviews its first 10 years of operation. It outlines its scope, objectives, triggers, principles, and components.

Methods: Records were extracted from the European Pharmacovigilance Issues Tracking Tool and a separate tracking system for the period August 20, 2009 to August 19, 2019.

Clinical Trials for COVID-19: Can we Better Use the Short Window of Opportunity?

The scientific community has risen to the coronavirus disease 2019 (COVID-19) challenge, coming up with an impressive list of candidate drugs and vaccines targeting an array of pharmacological and immunological mechanisms. Yet, generating clinical evidence of efficacy and safety of these candidate treatments may be frustrated by the absence of comprehensive trial coordination mechanisms. Many small stand-alone trials and observational studies of single-agent interventions are currently running or in planning; many of these will likely not deliver robust results that could support regulatory and patient-level treatment decisions.

Big Data - How to Realize the Promise.

The increasing volume and complexity of data now being captured across multiple settings and devices offers the opportunity to deliver a better characterization of diseases, treatments, and the performance of medicinal products in individual healthcare systems. Such data sources, commonly labeled as big data, are generally large, accumulating rapidly, and incorporate multiple data types and forms. Determining the acceptability of these data to support regulatory decisions demands an understanding of data provenance and quality in addition to confirming the validity of new approaches and methods for processing and analyzing these data.

The evolution of clinical trials: Can we address the challenges of the future?

The authors describe key challenges facing the clinical trials community and propose solutions to these issues, including the role the Clinical Trials Transformation Initiative can play in addressing these issues. Specifically, the authors reflect on clinical trial globalization and the harmonization of frameworks and requirements across regions; the challenges associated with balancing the desire for external validity, pragmatic trials, and precision medicine; clinical trial transparency; and operational complexity and the expense of clinical trials. By addressing these challenges, future clinical trials will be more feasible, relevant, and credible, and support both the continuing altruistic contributions of patients and the collection of more meaningful data.

Enhancing clinical evidence by proactively building quality into clinical trials.

Background: Stakeholders across the clinical trial enterprise have expressed concern that the current clinical trial enterprise is unsustainable. The cost and complexity of trials have continued to increase, threatening our ability to generate reliable evidence essential for making appropriate decisions concerning the benefits and harms associated with clinical interventions. Overcoming this inefficiency rests on improving protocol design, trial planning, and quality oversight.