AIMC Topic: Graft Rejection
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A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.
Scientific reports
Apr 11, 2019
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the f...
Humans
Neural Networks, Computer
Postoperative Complications
Aged
Diagnosis, Computer-Assisted
Young Adult
Adolescent
Adult
Graft Survival
Male
Glomerular Filtration Rate
Middle Aged
Kidney Function Tests
Follow-Up Studies
Graft Rejection
Image Interpretation, Computer-Assisted
Algorithms
Diffusion Magnetic Resonance Imaging
Kidney Transplantation
Prognosis
Female
Risk Factors
Generating automated kidney transplant biopsy reports combining molecular measurements with ensembles of machine learning classifiers.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Apr 10, 2019
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Microscope Diagnostic System (MMDx). The present study was designed to optimize the accuracy and stabilit...
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides.
Scientific reports
Mar 26, 2019
Pathologic diagnoses mainly depend on visual scoring by pathologists, a process that can be time-consuming, laborious, and susceptible to inter- and/or intra-observer variations. This study proposes a novel method to enhance pathologic scoring of ren...
An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Feb 6, 2019
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we ex...
Usefulness of Delayed Introduction of Tacrolimus in Kidney Transplants Using Type-III Donors After Circulatory Death.
Transplantation proceedings
Oct 29, 2018
INTRODUCTION: Our study compares 2 immunosuppressive strategies to reduce tacrolimus nephrotoxicity and its risk of acute tubular necrosis: delayed introduction of tacrolimus plus thymoglobulin vs initial tacrolimus plus basiliximab on the results of...
The future is coming: promising perspectives regarding the use of machine learning in renal transplantation.
Jornal brasileiro de nefrologia
Oct 18, 2018
INTRODUCTION: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models based on standard statistics are very complex, difficult to validate and do not provide accurate predic...
Minimally invasive, robot-assisted procedure for kidney transplantation among morbidly obese: Positive outcomes at 5 years post-transplant.
Clinical transplantation
Oct 15, 2018
The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. Though robot-assisted procedures among extremely obese have shown minimal complication, long-term outcomes are understudied. Previously, we reported no...
Robotics
Graft Rejection
Minimally Invasive Surgical Procedures
Kidney Failure, Chronic
Obesity, Morbid
United States
Humans
Treatment Outcome
Kidney Transplantation
Glomerular Filtration Rate
Prognosis
Kidney Function Tests
Female
Follow-Up Studies
Risk Factors
Survival Rate
Male
Middle Aged
Time Factors
Graft Survival
Diagnosis of T-cell-mediated kidney rejection in formalin-fixed, paraffin-embedded tissues using RNA-Seq-based machine learning algorithms.
Human pathology
Oct 6, 2018
Molecular diagnosis is being increasingly used in transplant pathology to render more objective and quantitative determinations that also provide mechanistic and prognostic insights. This study performed RNA-Seq on biopsies from kidneys with stable f...
A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.
International journal of medical informatics
Sep 12, 2018
BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized medical interventions. We aimed to develop and validate a predictive tool for a future value of estimated glomerular filtration rate (eGFR) at upcomin...
Efficacy of Platelet-Rich Plasma on Fat Grafts in the Repair of Tympanic Membrane Perforations: An Experimental Study.
The journal of international advanced otology
Dec 14, 2017
OBJECTIVE: We investigated the use of autologous platelet-rich plasma (PRP) to improve the success rate of fat graft myringoplasty in perforated tympanic membranes of rats.
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