Stereo-Cell & AI

Welcome to the European Stereo Cell Collaboration (ESCC) initiative at Graz University of Technology (TU Graz), Austria, the European branch of the global stereo cell research activities.

 

The ESCC initiative is extending and advancing this concept through computational and systems approaches, combining artificial intelligence, computational modeling, digital proteomics and spatiotemporal multi-omics.

 

Our goal is to develop an integrated computational framework to reconstruct, simulate and predict cellular structures and interactions in health and disease.

Stereo-Cell Concept

Liao et al. (Science, 2025) validates Stereo-cell as a multimodal platform and advances the concept of “stereoscopic cells” from vision to practice. By combining morphology, transcriptomics, and proteomics in spatial context, Stereo-cell offers capabilities beyond existing spatial technologies and delivers clinically interpretable data at scale. With continued progress in digital infrastructure, regulatory alignment, and global collaboration, Stereo-cell could establish precision medicine in the stereoscopic cell as a new fundamental unit of diagnosis and therapy.

ESCC

The ESCC initiative is an international platform of stereological cell (Stereo Cell) biomedicine coordinated by the Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, with a close collaboration of Fudan University Center of Clinical Bioinformatics.

Publications

Duan W, Wang M, Liu Y, Desoyer C, Song Y, Baumgartner C, Wang X. Stereo cell: a new approach to the next generation of clinical precision medicine. Clin Transl Discov. 2025, 5(6), e70105. 

https://doi.org/10.1002/ctm2.70105

 

Baumgartner C. Stereo-cell: Advancing Spatial Single-Cell Biology Towards Clinical Translation (Invited letter). Clin Transl Med. 2025, 15(9), e70480.

https://doi.org/10.1002/ctm2.70480

 

Baumgartner C, Brislinger D. Transforming Precision Medicine: The Potential of the Clinical Artificial Intelligent Single Cell Framework (Commentary). Clin Transl Med. 2025, 15(1), e70096

https://doi.org/10.1002/ctm2.70096