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Deep learning-based pathomics reveals renal tubular atrophy with inflammatory cell infiltration as a prognostic marker in IgA nephropathy
Abstract IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. However, there are still many limitations in relying solely on renal pathology to assess the risk IgAN progression. As an emerging technology, pathomics can assist renal pathologists in discovering subvisual features, thereby becoming an important tool for assessing the risk of IgAN progression.
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