High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states
Thao Cao, Madeleine S. Durkee, Junting Ai, Satoshi Hara, Michael S. Andrade, A Chang, Gabriel Casella, Anita S. Chong, Maryellen Lissak Giger, Marcus R. Clark
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.
bioRxiv · Jan 15, 2026 · PreprintImmunology