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April 6, 2026AI in Precision Oncology3 citations

From Principles to Practice: Operationalizing the Food and Drug Administration and European Medicines Agency Guiding Principles for Artificial Intelligence in Oncology Drug Development

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BHBethany J. HillsKHKatrin Helle

Key Points

  • This research aims to clarify the FDA-EMA Guiding Principles and how they can be implemented in oncology drug development.
  • Analysis of the FDA-EMA Guiding Principles
  • Development of operational guidance for researchers and clinicians
  • Review of AI applications in drug lifecycle
  • Established a framework for responsible AI use in drug development
  • Outlined principles for the design and validation of AI systems
  • Enhanced understanding of regulatory expectations for oncology drug development

Abstract

Artificial intelligence (AI) is transforming every stage of oncology drug development, offering unprecedented opportunities for innovation, efficiency, and patient-centered care. In January 2026, the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) jointly published the “Guiding Principles of Good AI Practice in Drug Development” (“FDA-EMA Guiding Principles”). 1 These 10 principles establish a shared transatlantic framework for the responsible design, validation, and oversight of AI systems across the drug lifecycle. This article distills the regulatory intent behind the FDA–EMA Guiding Principles and translates them into operational guidance for oncology researchers, clinicians, and institutional leaders engaged in evidence generation.

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Cite This Study

Hills et al. (2026) studied this question.

synapsesocial.com/papers/69d34e1e9c07852e0af97a0chttps://doi.org/10.1177/2993091x261439449
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