Nikolaos M. Dimitriou

The paper develops Mosaic, a machine learning system that classifies tumors into detailed subtypes and identifies molecular phenotypes using histopathologic and genomic data from a large patient cohort.

This study evaluates classical, fractional, and multiscale logistic models of tumour growth using Bayesian inference and uncertainty quantification to assess their fit under different treatment conditions.

This study integrates experimental and computational approaches to quantify cancer morphology and mechanisms in 3D cultures using a multiscale model and spatial analysis.