SAVE THE DATE

15th-17th OCTOBER, 2025

A 2.5 DAY WORKSHOP on the use of artificial intelligence and machine learning of the analysis of single-cell spatial transcriptomics, in Lyon, France.

REGISTRATION (TO OPEN SOON) IS FREE BUT MANDATORY

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The analysis of data from single-cell, potentially spatial, transcriptomics, increasingly relies on artificial intelligence (AI) or machine learning (ML) computer tools. Beyond the familiar clustering of single-cells, they promise to offer access to a wide spectrum of far-reaching biological information, including the inference of cell-cell interactions, lineage reconstructions or the 3d spatial organisation of the tissue.

The workshop will deliver both general introductions targeting the non-expert biologist who plans to start using these algorithms, and state-of-the-art methodology-oriented talks for a more expert audience.

Assembly of the program is on-going, but confirmed invited speakers include:

• Xiang Zhou, University of Michigan, Ann Arbor, USA
• Per Uhlén, Karolinska Institute, Stockholm, Sweden
• Genevieve Stein O’Brien, Johns Hopkins University, USA
• Yvan Saeys, Ghent University, Belgium
• Marianna Rapsomaniki, Lausanne University Hospital, Switzerland 
• Laura Cantini, Pasteur Institute, Paris, France
• Quentin Blampey, Paris-Saclay University, France

The program will feature both general introductory talks and expert-level methodology-oriented presentations.

As well as live sessions demos of application packages for concrete illustration of use cases!

More to come soon, including:

• program updates

• a call for contributed talks

• a call for contributed live sessions for package demos

• registration openning

Meanwhile, don't hesitate to contact us at: ai4singlecell@sciencesconf.org