Marieta Ioana Toma

This paper develops an endothelial graft-enhanced CAM tumor model to study T cell recruitment and activation in human cancer immunotherapy.

SPARQ-MI provides a streamlined spatial single-cell analysis method for tumor microenvironments, revealing CD8 T cell state and spatial location associations with immunotherapy response.

This paper combines evolutionary algorithms with AI to design potent Nectin-4-specific cancer biologics, achieving high-affinity minibinders and functional reagents.

SPACEc provides a Python workflow for analyzing multiplexed imaging data with interactive tools for image processing, segmentation, and spatial analysis.

The paper identifies NKG7 as a reliable and consistent marker of cytotoxicity across immune subsets and tissues, outperforming traditional markers like Granzyme B and Perforin.

This paper develops AI-designed protein binders for cancer cell surface proteins, showing their effectiveness in detection and targeting through experimental validation and benchmarking of structure prediction models.

This study shows that the CCR4/CCL17 axis promotes intestinal acute GvHD by recruiting T cells and increasing Gata3 expression, and identifies ruxolitinib as a potential therapeutic.