Using Embodied Artificial Intelligence Agents to Automate Biorisk Management Tasks in High-Containment Laboratories

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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Publication Details

Journal
Applied Biosafety
Published
2025-04-24
DOI
https://doi.org/10.1089/apb.2024.0068
Citations
1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.63
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article

Using Embodied Artificial Intelligence Agents to Automate Biorisk Management Tasks in High-Containment Laboratories

Leyma P. De Haro
1 citations
Applied Biosafety
Cell Image Analysis Techniques
1.63
article

Using Embodied Artificial Intelligence Agents to Automate Biorisk Management Tasks in High-Containment Laboratories

Leyma P. De Haro
article en
1 citations

Abstract

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.

Applied BiosafetyVol. 30(4)
Colorado Humanities (US), Sensory Processing Disorder Foundation (US)
Openalex Percentile: Top 15%
Cell Image Analysis Techniques
1.63
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