Youness Azimzade

This study identifies the loss of chromosome 13q14.2 as a key driver of breast cancer pathogenesis and drug response, showing its impact on tumor survival, cell cycle, and treatment susceptibility.

The paper uses multi-omics analysis to show macrophages in breast tumors correlate with better treatment response but worse survival, driven by immune suppression mechanisms.

The paper uses scRNA-seq and explainable machine learning to analyze how tumor microenvironment cell types affect neoadjuvant chemotherapy outcomes in breast cancer.

This paper introduces a stochastic mesoscopic simulation framework to model tumor heterogeneity and evolutionary dynamics while maintaining low computational costs.