Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant

Abstract Background Heart transplant rejection, particularly acute cellular rejection (ACR), remains a critical post-operative concern, despite declining incidence rates. Current diagnostic standards rely on invasive endomyocardial biopsy, which presents limitations in sensitivity and reproducibilit...

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Main Authors: Jacopo Burrello, Stefano Panella, Ilaria Barison, Chiara Castellani, Alessio Burrello, Lorenzo Airale, Jessica Goi, Veronica Dusi, Roberto Frigerio, Gino Gerosa, Chiara Tessari, Nicola Pradegan, Giuseppe Toscano, Giovanni Pedrazzini, Mattia Corianò, Francesco Tona, Sara Bolis, Alessandro Gori, Marina Cretich, Marny Fedrigo, Annalisa Angelini, Lucio Barile
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-025-00999-0
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https://doi.org/10.1038/s43856-025-00999-0

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