Machine Learning for Monoclonal Gammopathies of Renal Significance Risk Stratification Using Clinical and Pathology Data

Machine Learning for Monoclonal Gammopathies of Renal Significance Risk Stratification Using Clinical and Pathology Data

Introduction: The prompt detection of monoclonal gammopathies of renal significance (MGRS) is clinically relevant for the initiation of chemotherapy. Although clinical and laboratory data can suggest the presence of MGRS, renal biopsy still represents the gold standard, despite not always being perf...

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Main Authors: Giorgio Cazzaniga, Giulia Capitoli, Raffaella Barretta, Andrew Smith, Gisella Vischini, Giuliana Papalia, Federico Alberici, Federica Mescia, Albino Eccher, Jan Ulrich Becker, Maarten Naesens, Lucrezia Furian, Bernd Schröppel, Stefania Galimberti, Fabio Pagni, Vincenzo L'Imperio
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Kidney International Reports
Subjects:
computational pathology
digital health
digital pathology
MGRS
onco-nephrology
renal biopsy
Online Access:http://www.sciencedirect.com/science/article/pii/S2468024925002943
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