Fiona Ginty

The paper investigates cell engulfment in colorectal cancer, showing it creates competitive metabolic niches linked to clinical outcomes.

Prostate-TriMod integrates visual morphology, spatial tissue maps, and clinical outcomes for prostate cancer to enable multimodal AI research.

This paper identifies a five-protein stem cell signature using a deep neural network that predicts relapse in stage III colorectal cancer patients.

This paper introduces PhenoMol, a framework that integrates multiomic and multi-phenotypic data to identify biological pathways linked to physical fitness, outperforming traditional regression models.

This study shows Mcl-1 accumulation and redistribution during the cell cycle increase MOMP thresholds, contributing to cell-to-cell variability in apoptosis susceptibility and intra-tumour heterogeneity.

The paper develops TOPAZ, a tool that predicts cancerous cells/glands and analyzes immune cell spatial relationships in prostate cancer, finding that immune cell distance from cancer glands correlates with recurrence risk.

FUSION is a web-based tool that integrates spatial -omics data with histology to analyze tissue states and identify spatial linkages between molecular and histopathologic features.

The paper analyzes endothelial cell environments across organs using spatially resolved omics data and provides an interactive tool for visualizing cell distances and neighborhoods.

This study uses high-resolution spatial proteomics to characterize colorectal cancer consensus molecular subtypes at single-cell resolution, revealing subtype-specific immune and metabolic features.

The paper uses multiplexed immunofluorescence and AI models to analyze the tumor microenvironment of diffuse midline glioma and predict antigens from H&E staining.

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

The paper investigates the spatial relationship between T cells and cancer cells in stage III CRC patients, finding that closer proximity of T cells to cancer cells is associated with better disease-free survival.

This study compares tumor cell phenotype and heterogeneity differences between IDH1 mutant and wild-type gliomas using integrated multi-omics data.