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Biomedical ResearchPublication

AI to chat with single-cells

Single-cell sequencing provides great insights into the inner workings of cells – but making sense of the data requires advanced bioinformatics skills. A team including researchers of the Austrian Academy of Sciences developed an AI method and software tool that lets scientists explore such datasets through natural-language conversations The study, now published in the journal Nature Biotechnology, illustrates how modern AI makes biomedical research more accessible and effective.

 11.11.2025
AI-generated visualization of the concept of analyzing cells through natural-language chats © CeMM

 

At a glance

Publication

Moritz Schaefer, Peter Peneder, Daniel Malzl, Salvo Danilo Lombardo, Mihaela Peycheva, Jake Burton, Anna Hakobyan, Varun Sharma, Thomas Krausgruber, Celine Sin, Jörg Menche, Eleni M. Tomazou, Christoph Bock. Nature Biotechnology
DOI: 10.1038/s41587-025-02857-9