Irina Kusmartseva

The paper maps the morphological and functional maturation of human endocrine pancreas from birth to age 10 using pediatric tissue samples and imaging techniques.

This paper introduces SMILE, a diffusion model for converting H&E stains to multiplex IHC images, showing superior performance in pancreatic islet analysis and breast cancer stain conversion.

This study integrates histopathological data from the human pancreas across T1D stages to identify novel histopathological correlates, particularly in the prodromal stage.

The paper uses 3D imaging to analyze pancreatic islets in healthy and type 1 diabetes (T1D) individuals, finding that islet size and composition influence their loss in T1D.

This study uses single-cell multiomics and spatial transcriptomics to identify gene regulatory programs in pancreatic cell types that drive type 1 diabetes progression.

This study shows that beta cell dysfunction occurs in type 1 diabetes independently of T cell infiltration, using human pancreas tissue slices from recently diagnosed patients.

Image analysis of 262,832 pancreatic endocrine objects across 220 donors reveals that small beta-cell-only clusters are abundant in early childhood but virtually absent in type 1 diabetes.

The paper integrates 3D imaging with nuclear segmentation to analyze nuclear morphology in human tissue, revealing spatial patterns and interactions in disease progression.

The paper uses imaging mass cytometry to analyze human pancreatic samples and identifies early β-cell dysfunction and immune changes in type 1 diabetes progression.

This paper develops ENTPD3-specific CAR Tregs to control T1D by targeting beta cells and shows their efficacy in preventing disease progression in a mouse model.

This study uses imaging mass cytometry to analyze pancreatic cells in T2D patients and controls, revealing changes in islet structure, cell composition, and immune cell infiltration.