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Combined, these two technologies are known as a specialized AI agent for BRM. This dual approach aims to reduce the cognitive and physical burdens on human personnel, minimize human error, and ensure consistent adherence to BRM protocols. This combination optimizes laboratory workflows and introduces a robust layer of redundancy in managing biological risks. Conclusions: Here we present a novel and promising step forward in augmenting the safety of high-containment laboratories through implementation of specialized AI agents; thus, contributing to more resilient BRM frameworks.
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Leyma P. De Haro (2025) studied this question.
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