Philipp Euskirchen

SteMClass is a DNA methylation-based classifier that accurately identifies iPSC differentiation states across protocols and datasets.

The paper uses single-cell sequencing and spatial transcriptomics to compare immune responses in leptomeningeal disease with other CNS disorders, identifying disease-specific immune environments and progression mechanisms.

This paper predicts stroke outcomes in mice using MRI and behavioral data, finding that lesion volume and topology are key predictors of subacute and residual deficits.