Ouroboros: cross-linking protein expression perturbations and cancer histology imaging with generative-predictive modeling.

ABSTRACT:

Summary

Imagine if we could simultaneously predict spatial protein expression in tissues from their routine Hematoxylin and Eosin (H&E) stained images, and create tissue images given protein expression profiles thus enabling virtual simulations of how protein expression alterations impact histology in complex diseases like cancer. Such an approach could lead to more informed diagnostic and therapeutic decisions for precision medicine at lower costs and shorter turnaround times, more detailed insights into underlying disease pathology as well as improvement in predictive and generative performance. In this study, we investigate the intricate correlation between protein expressions obtained from Hyperion mass cytometry and histopathological microstructures in conventional H&E stained

SUBMITTER: Deshpande S 

PROVIDER: S-EPMC11373318 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature