Elaheh Alizadeh

This study uses high-resolution spatial transcriptomics to map fibroblast and neuroimmune microenvironments in endometriosis lesions, identifying spatial cellular interactions linked to pain.

This study uses high-throughput screens in human cells with authentic SARS-CoV-2 virus to identify neutralizing monoclonal antibodies and kinase inhibitors with minimal host toxicity.

SPiRiT uses explainable deep learning to predict spatial single-cell gene expression from histological images, improving accuracy over existing methods.

The paper develops a label-free method using flow cytometry and machine learning to predict algal lipid content without fluorescent dyes.