Data-Driven Chronic Allograft Phenotypes: A Novel and Validated Complement for Histologic Assessment of Kidney Transplant Biopsies.

Thibaut Vaulet Gillian Divard Olivier Thaunat Priyanka KoshyEvelyne LerutAleksandar Senev Olivier Aubert Elisabet Van Loon Jasper CallemeynMarie-Paule EmondsAmaryllis H Van Craenenbroeck Katrien De Vusser Ben SprangersMaud RabeyrinValérie DuboisDirk R J KuypersMaarten De VosAlexandre LoupyBart De MoorMaarten Naesens

Published in: Journal of the American Society of Nephrology : JASN (2022)

The evaluation of total chronicity provides information on kidney transplant pathology that complements the estimation of disease activity from acute lesion scores. Use of the data-driven algorithm used in this study, called RejectClass, may provide a holistic and quantitative assessment of kidney transplant injury phenotypes and severity.

Keyphrases

disease activity
systemic lupus erythematosus
rheumatoid arthritis
rheumatoid arthritis patients

ankylosing spondylitis
liver failure
machine learning
juvenile idiopathic arthritis

drug induced
deep learning
health information

aortic dissection
acute respiratory distress syndrome
neural network