Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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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...

Evaluation of the potential nephrotoxicity and mechanism in rats after long-term exposure to the traditional Tibetan medicine tsothel.

CONTEXT: Tsothel, a traditional Tibetan medicine, is regarded as 'the king of essences'. Nevertheles...

[CA19-9 Producing Gastric Cancer with Early Recurrence of Multiple Colon Metastases Following Gastrectomy-A Case Report].

A 90-year-old male underwent total gastrectomy for gastric cancer 10 months earlier. The cancer was ...

[Nephrotoxicity of a Short Hydration Method for the Cisplatin Regimen in Patients with Gastric Cancer].

BACKGROUND: S-1 plus cisplatin(CDDP)has been a key regimen for advanced gastric cancer treatment. Ho...

Automated Renal Cancer Grading Using Nuclear Pleomorphic Patterns.

PURPOSE: Nuclear pleomorphic patterns are essential for Fuhrman grading of clear cell renal cell car...

A Decision-Support Tool for Renal Mass Classification.

We investigate the viability of statistical relational machine learning algorithms for the task of i...

Risk factors for diastolic left ventricular myocardial dysfunction in patients with chronic kidney disease.

AIM: To examine the frequency and risk factors for the development of diastolic dysfunction (DD) of ...

Predictive markers of depression in hypertension.

Hypertension and depression, as 2 major public health issues, are closely related. For patients havi...

The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record d...

Cardiorenal Outcomes in the CANVAS, DECLARE-TIMI 58, and EMPA-REG OUTCOME Trials: A Systematic Review.

In this systematic review, we sought to summarize the 3 recent sodium-glucose cotransporter 2 inhibi...

[Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].

To build risk prediction models for acute kidney injury (AKI) in severely burned patients, and to c...

Renal Function Estimates and Dosing of Direct Oral Anticoagulants in Stroke Patients with Atrial Fibrillation: An Observational Study.

PURPOSE: Appropriate dosing of direct oral anticoagulants (DOACs) requires consideration of renal fu...

D-Aspartate amends reproductive performance of aged roosters by changing gene expression and testicular histology.

Male broiler breeders (n=32) of 55 weeks of age were administered four different doses of capsulated...

Pharmacokinetic Therapeutic Drug Monitoring of Advagraf in More Than 500 Adult Renal Transplant Patients, Using an Expert System Online.

BACKGROUND: Immunosuppressant Bayesian dose adjustment (ISBA) is an online expert system, routinely ...

Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning.

As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidi...

[Technical advancement in surgical treatment of portal hypertension].

Recently, there have been many developments and improvements in portal hypertension surgery, but the...

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