Fabian Pott

This paper uses neural networks to match disease states between human and hamster COVID-19 scRNAseq data, finding similar cellular responses in specific cell types across species.

The paper compares single-cell RNA-seq data from hamster and human COVID-19 samples to identify a shared inflammatory axis and a neutrophil-endothelial program associated with severe disease.

The paper evaluates dexamethasone and anti-SARS-CoV-2 antibodies in hamster models, showing reduced viral burden with antibodies and anti-inflammatory effects with dexamethasone, with synergistic benefits when combined.