AIMC Topic: Graft Rejection

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Cherry on Top or Real Need? A Review of Explainable Machine Learning in Kidney Transplantation.

Transplantation May 21, 2024
Research on solid organ transplantation has taken advantage of the substantial acquisition of medical data and the use of artificial intelligence (AI) and machine learning (ML) to answer diagnostic, prognostic, and therapeutic questions for many year...
Humans Machine Learning Kidney Transplantation Graft Survival Treatment Outcome Predictive Value of Tests Clinical Decision-Making Graft Rejection Risk Factors Delayed Graft Function
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Novel non-invasive method for urine mapping: Deep-learning-enabled SERS spectroscopy for the rapid differential detection of kidney allograft injury.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 4, 2024
The kidney allograft has been under continuous attack from diverse injuries since the very beginning of organ procurement, leading to a gradual decline in function, chronic fibrosis, and allograft loss. It is vital to routinely and precisely monitor ...
Humans Kidney Transplantation Deep Learning Spectrum Analysis, Raman Graft Rejection Gold Allografts
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The 2022 Banff Meeting Lung Report.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons Nov 4, 2023
The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology Conference-held in Banff, Alberta-focused on non-rejection lung allograft pathology and novel technologies for the detection of allograft injury. A multidisciplinary panel rev...
Biopsy Transplantation, Homologous Prospective Studies Lung Artificial Intelligence 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...
Deep Learning Graft Rejection Myocardium Humans Artificial Intelligence Biopsy Allografts
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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 Humans Kidney Transplantation Retrospective Studies Proof of Concept Study
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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...
Kidney Humans Kidney Transplantation Graft Rejection Deep Learning Biopsy Graft Survival
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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...
Oligonucleotide Array Sequence Analysis Transplantation Tolerance Predictive Value of Tests Graft Rejection Gene Expression Profiling Patient Selection Transcriptome Clinical Decision-Making Databases, Genetic Time Factors Graft Survival Risk Factors Immunosuppressive Agents Humans Risk Assessment Treatment Outcome Machine Learning Kidney Transplantation
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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
Humans Kidney Transplantation Deep Learning Kidney Graft Rejection Allografts
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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...
Pattern Recognition, Automated Middle Aged Female Histocompatibility Testing Graft Survival Isoantigens Isoantibodies Graft Rejection Adult Cluster Analysis Humans Histocompatibility Flow Cytometry Treatment Outcome Machine Learning Immunosuppressive Agents HLA Antigens Kidney Transplantation Male Principal Component Analysis
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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...
Graft Rejection Kidney Failure, Chronic Decision Making, Computer-Assisted Artificial Intelligence Quality of Life Humans Algorithms Renal Dialysis Kidney Transplantation Models, Statistical
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