# Multimodal AI agents for capturing and sharing proteomics laboratory practice

**Authors:** Patricia Skowronek, Anant Nawalgaria, Matthias Mann

PMC · DOI: 10.1038/s44320-025-00179-1 · Molecular Systems Biology · 2025-12-15

## TL;DR

This paper introduces an AI system that captures and shares proteomics lab practices by combining video, speech, and text.

## Contribution

The novel contribution is a multimodal AI agent that integrates video, speech, and text to document and communicate laboratory workflows.

## Key findings

- The AI agent links written protocols with actual lab work through multimodal analysis.
- The system enables better communication and sharing of proteomics experimental practices.

## Abstract

A multimodal AI laboratory agent was developed to capture and communicate proteomics experimental practices by linking written protocols with hands-on laboratory work through integrated analysis of video, speech, and text.

## Full-text entities

- **Diseases:** hallucinations (MESH:D006212)
- **Chemicals:** Gemini (-)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12954122/full.md

## References

1 references — full list in the complete paper: https://tomesphere.com/paper/PMC12954122/full.md

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Source: https://tomesphere.com/paper/PMC12954122