Renal Pathology Society

Our abstracts: (i) “Prognostic glomerular morphometric phenotype discovery via clustering across large datasets” and (ii) “Urinary proteomics data guides AI to discover new digital biomarkers for diabetic nephropathy classification,” were selected by the Renal Pathology Society as two out of the three best abstracts for 2020-21.

Congratulations to Brandon and Nick!