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

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.

PROGRAM DRAFT

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 SOON...

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