Elsevier

Agentic AI for Real-World Evidence Life Cycle Support - Scaling Trustworthy Evaluation of Treatment Safety and Effectiveness

Current call from Journal of Biomedical Informatics on “Agentic AI for Real-World Evidence Life Cycle Support - Scaling Trustworthy Evaluation of Treatment Safety and Effectiveness”. Review the official call for detailed scope, research themes and submission requirements.

Journal: Journal of Biomedical Informatics Deadline: 2026-11-15 Discipline: Medicine & Health Guest editor(s): Assoc. Professor Richard David Boyce, Dr. Scott Alexander Malec, Dr. Chunhua Weng Topics: Agentic, Real World, Evidence

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Agentic AI for Real-World Evidence Life Cycle Support - Scaling Trustworthy Evaluation of Treatment Safety and Effectiveness

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