AIMC Topic: Graft Rejection

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Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.

Nature medicine Mar 21, 2022
Endomyocardial biopsy (EMB) screening represents the standard of care for detecting allograft rejections after heart transplant. Manual interpretation of EMBs is affected by substantial interobserver and intraobserver variability, which often leads t...
Graft Rejection Myocardium Biopsy Allografts Humans Artificial Intelligence Deep Learning
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Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study.

The Lancet. Digital health Nov 15, 2021
BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to diagnose allograft rejection and can help guide patient management, but it is one of the most challenging areas of pathology, requiring considerable e...
Deep Learning Graft Rejection Biopsy Proof of Concept Study Humans Kidney Transplantation Retrospective Studies
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Deep learning identified pathological abnormalities predictive of graft loss in kidney transplant biopsies.

Kidney international Oct 30, 2021
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft failure. Here we sought an objective, quantitative pathological assessment of these lesions to improve predictive utility and constructed a deep-learn...
Humans Kidney Transplantation Deep Learning Graft Rejection Biopsy Graft Survival Kidney
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An Unbiased Machine Learning Exploration Reveals Gene Sets Predictive of Allograft Tolerance After Kidney Transplantation.

Frontiers in immunology Jul 8, 2021
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered by limited sample size, as well as the complicated mechanisms underlying tolerance and the potential risk of rejection after immunosuppressant withdr...
Kidney Transplantation Clinical Decision-Making Risk Factors Humans Machine Learning Time Factors Graft Survival Treatment Outcome Databases, Genetic Risk Assessment Gene Expression Profiling Transcriptome Patient Selection Oligonucleotide Array Sequence Analysis Transplantation Tolerance Immunosuppressive Agents Predictive Value of Tests Graft Rejection
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Early Projection of Kidney Allograft Rejection Through Deep Learning: A Way Forward.

Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation Sep 17, 2020
Allografts Humans Kidney Graft Rejection Kidney Transplantation Deep Learning
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Patterns of 1,748 Unique Human Alloimmune Responses Seen by Simple Machine Learning Algorithms.

Frontiers in immunology Jul 28, 2020
Allele specific antibody response against the polymorphic system of HLA is the allogeneic response marker determining the immunological risk for graft acceptance before and after organ transplantation and therefore routinely studied during the patien...
HLA Antigens Pattern Recognition, Automated Isoantibodies Isoantigens Histocompatibility Histocompatibility Testing Humans Principal Component Analysis Graft Rejection Adult Treatment Outcome Machine Learning Flow Cytometry Middle Aged Male Cluster Analysis Kidney Transplantation Graft Survival Immunosuppressive Agents Female
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Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review.

BioMed research international Jun 10, 2020
BACKGROUND: The purpose of this review is to depict current research and impact of artificial intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation. Published studies were presented from two points of view: What medi...
Humans Graft Rejection Kidney Failure, Chronic Quality of Life Artificial Intelligence Decision Making, Computer-Assisted Renal Dialysis Algorithms Models, Statistical Kidney Transplantation
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Automated detection algorithm for C4d immunostaining showed comparable diagnostic performance to pathologists in renal allograft biopsy.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Mar 26, 2020
A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology work. Recently, we proposed a deep learning-based detection algorithm for C4d immunostaining in renal allografts. The objective of this study is to ass...
Allografts Complement C4b Peptide Fragments Biopsy Female Immunohistochemistry Male Middle Aged Humans Deep Learning Kidney Transplantation Graft Rejection
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Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

F1000Research Oct 29, 2019
A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to clinical management of chronic kidney disease patients.  Several kidney graft outcome prediction models, developed using machine learning methods, are...
Australia Prognosis Humans Graft Rejection Retrospective Studies Machine Learning New Zealand Graft Survival Kidney Transplantation
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Machine learning in predicting graft failure following kidney transplantation: A systematic review of published predictive models.

International journal of medical informatics Aug 24, 2019
INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose different disease conditions. The heterogeneity of the kidney transplant population makes predicting graft outcomes extremely challenging. Several kidn...
Graft Rejection Bayes Theorem Databases, Factual Decision Trees Predictive Value of Tests Machine Learning Humans Kidney Transplantation Neural Networks, Computer
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