Michael S. Andrade

The paper uses high-dimensional spatial proteomics and a machine learning pipeline to identify and quantify disease-specific renal damage states in lupus nephritis and renal allograft rejection.

This study compares CD4+ T cell transcriptional states in transplant rejection and pregnancy tolerance using scRNA-seq, identifying distinct Tfh and Treg signatures.

The paper quantifies immune cell populations in lupus nephritis and renal allograft rejection using microscopy and computational tools, identifying distinct inflammatory trajectories.