This project will develop an AI powered Python toolkit that will revolutionize the analysis of histology samples, by introducing quantitative, physics-informed metrics developed in the domain of materials science to histological analysis. Our toolkit boosts diagnostic accuracy by integrating spatially-resolved, single cell information into novel, sequence-aware machine learning models, circumventing the ubiquitous dearth of data that traditionally limits disease diagnosis from histology samples.