Nephrology

Graft Rejection Prediction Following Kidney Transplantation Using Machine Learning Techniques: A Systematic Review and Meta-Analysis.

Kidney transplantation is recommended for patients with End-Stage Renal Disease (ESRD). However, com...

The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method.

In this research, we exploit an image-based deep learning framework to distinguish three major subty...

Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study.

Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standar...

Data Representations for Segmentation of Vascular Structures Using Convolutional Neural Networks with U-Net Architecture.

Convolutional neural networks (CNNs) produce promising results when applied to a wide range of medic...

Comparing Machine Learning Algorithms for Predicting Acute Kidney Injury.

Prior studies have used vital signs and laboratory measurements with conventional modeling technique...

[Application of recurrent neural network in prognosis of peritoneal dialysis].

OBJECTIVE: Deep learning models, including recurrent neural network (RNN) and gated recurrent unit (...

Worm-Like Soft Robot for Complicated Tubular Environments.

This article describes a worm-like soft robot capable of operating in complicated tubular environmen...

Re: Minimally Invasive, Robot-Assisted Procedure for Kidney Transplantation among Morbidly Obese: Positive Outcomes at 5 Years Post-Transplant.

Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.

PURPOSE: Currently, all solid enhancing renal masses without microscopic fat are considered malignan...

Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic...

A Systems Toxicology Approach for the Prediction of Kidney Toxicity and Its Mechanisms In Vitro.

The failure to predict kidney toxicity of new chemical entities early in the development process bef...

Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used t...

What's new in robotic partial nephrectomy.

OBJECTIVE: Robot assisted partial nephrectomy (RAPN) is a minimally invasive option for patients wit...

Discovery of Distinct Immune Phenotypes Using Machine Learning in Pulmonary Arterial Hypertension.

RATIONALE: Accumulating evidence implicates inflammation in pulmonary arterial hypertension (PAH) an...

Liver and Lung Transplant Advances.

[Migration of Hem-o-Lok Clips into the Urinary Bladder Used during Robot-Assisted Laparoscopic Prostatectomy].

Recently, robot-assisted laparoscopic prostatectomy (RALP) has become a widely accepted surgical alt...

Evaluation of Cyclosporine Pharmacokinetic, Monitoring, and Dosing Parameters for GVHD Prophylaxis in Hematopoietic Stem Cell Transplant (HSCT) Recipients.

Allogeneic hematopoietic stem cell transplantation (AHSCT) is a major method of treatment for differ...

DOES THE 25-OH-VITAMIN D LEVEL AFFECT THE INSULIN RESISTANCE IN THE PATIENTS WITH NON-DIABETIC CHRONIC KIDNEY DISEASE?

INTRODUCTION: The aim of this study was to investigate the effects of vitamin D deficiency on insuli...

Results of a Literature Review to Prepare Data Modelling in the Context of Kidney Transplant Rejection Diagnosis.

Due to demographic change the number of serious kidney diseases and thus required transplantations w...

Comparison of renal function after robot - assisted laparoscopic radical prostatectomy versus retropubic radical prostatectomy.

PURPOSE: To investigate the effect of robot assisted laparoscopic radical prostatectomy (RALP) and o...

Membranoproliferative glomerulonephritis in Russian population.

AIM: Analysis of etiology, clinical and morphological manifestations, approaches to therapy and prog...