Back to search

Article

Machine learning-supported interpretation of kidney graft elementary lesions in combination with clinical data

2021-09-22

Abstract excerpt

<h4>Background</h4> The Banff classification standardizes the diagnoses of kidney transplant rejection based on histological criteria. Clinical decisions are generally made after integration of the Banff diagnoses in the clinical context. However, interpretation of the biopsy cases is still heterogeneous among pathologists or clinicians. Machine Learning (ML) algorithms may be trained from expertly assessed cases...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
256b6600-686b-5b26-b06f-3e5e862354bf
DOI
10.1101/2021.09.17.21263552
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine learning-supported interpretation of kidney graft elementary lesions in combination with clinical dataDOI 10.1101/2021.09.17.21263552
Continuous indices to assess the phenotypic spectrum of kidney transplant rejectionSemantic proximity
Continuous Transcriptomic Indices for Assessing the Spectrum of Kidney Transplant Rejection: International Derivation and Validation StudySemantic proximity
Development and Validation of a Multiclass Model Defining Molecular Archetypes of Kidney Transplant Rejection: A Large Cohort Study of the Banff Human Organ Transplant Gene Expression PanelSemantic proximity
The Banff 2024 Kidney Meeting Report: Rejection as a spectrum of phenotypes and focus on differential diagnostic reasoning.Semantic proximity
Deep-learning Based Pathological Assessment of Frozen Procurement Kidney Biopsies Predicts Graft Loss and Guides Organ Utilization: A Large-scale Retrospective StudySemantic proximity
Spatially Resolved Banff Tubulitis and Glomerulitis Scoring in Kidney Allograft Biopsies via Artificial Intelligent -Based Structure Segmentation and Spatial TranscriptomicsSemantic proximity
Is the Banff Human Organ Transplant panel ready for prime time?Semantic proximity
Identification of liver transplant biopsy phenotypes associated with distinct liver biological markers and allograft survival.Semantic proximity
Validation of the Nanostring of the Banff Human Organ Transplant Gene Panel in Archival Data from Human Kidney Transplants and its Modelling ComplexitySemantic proximity
Construction of Predictive Model of Interstitial Fibrosis and Tubular Atrophy (IFTA) After Kidney Transplantation with Machine Learning AlgorithmSemantic proximity
First Order Associations Between Banff Acute Lesions in Kidney Allograft Biopsies and a Urinary Cell Three-Gene Diagnostic SignatureSemantic proximity
Molecular Analysis of Renal Allograft Biopsies: Where Do We Stand and Where Are We Going?Semantic proximity
Select a neighboring publication to make it the new centre.