Deep learning–based molecular morphometrics for kidney biopsies
April 2021 | New Publication
A recent study by Marina Zimmermann and colleagues in The Journal of Clinical Investigation identified previously unknown morphometric signatures of podocyte depletion in patients with ANCA-GN, which allowed patient classification and, in combination with routine clinical tools, showed potential for risk stratification. This approach enables robust and scalable molecular morphometric analysis of human tissues, yielding deeper biological insights into the human kidney pathophysiology.
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