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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Veröffentlicht in:	Nature methods Jg. 21; H. 8; S. 1390 - 1393
Hauptverfasser:	Zhang, Shanghang, Dai, Gaole, Huang, Tiejun, Chen, Jianxu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Nature Publishing Group US 01.08.2024 Nature Publishing Group
Schlagworte:	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-Zugang:	Volltext
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Zusammenfassung:	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.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Correspondence-1
ISSN:	1548-7091 1548-7105 1548-7105
DOI:	10.1038/s41592-024-02334-2