Multimodal large language models for bioimage analysis

Multimodal large language models have been recognized as a historical milestone in the field of artificial intelligence and have demonstrated revolutionary potentials not only in commercial applications, but also for many scientific fields. Here we give a brief overview of multimodal large language...

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Bibliographic Details
Published in:Nature methods Vol. 21; no. 8; pp. 1390 - 1393
Main Authors: Zhang, Shanghang, Dai, Gaole, Huang, Tiejun, Chen, Jianxu
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01.08.2024
Nature Publishing Group
Subjects:
631/114/1305
631/114/1564
Artificial intelligence
Bioinformatics
Biological Microscopy
Biological Techniques
Biology
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Comment
Datasets
Humans
Image Processing, Computer-Assisted - methods
Language
Large language models
Life Sciences
Metadata
Microscopy
Proteomics
Software
ISSN:1548-7091, 1548-7105, 1548-7105
Online Access:Get full text
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Summary:Multimodal large language models have been recognized as a historical milestone in the field of artificial intelligence and have demonstrated revolutionary potentials not only in commercial applications, but also for many scientific fields. Here we give a brief overview of multimodal large language models through the lens of bioimage analysis and discuss how we could build these models as a community to facilitate biology research.
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ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-024-02334-2