Nephrology

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

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Long-term outcome in inherited nephrogenic diabetes insipidus.

BACKGROUND: Inherited nephrogenic diabetes insipidus (NDI) is a rare disorder characterized by impai...

An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study.

BACKGROUND: Accurately identifying cases of chronic kidney disease (CKD) from primary care data faci...

Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation.

The objective of the current study was to explore the role of ABCB1 and CYP3A5 genetic polymorphisms...

Intravenous infusion of magnesium sulfate is not associated with cardiovascular, liver, kidney, and metabolic toxicity in adults.

BACKGROUND: Magnesium (Mg) deficiency contributes to the pathophysiology of numerous diseases. The t...

Causal risk factor discovery for severe acute kidney injury using electronic health records.

BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a...

Antiphospholipase 2 receptor antibody levels to predict complete spontaneous remission in primary membranous nephropathy.

BACKGROUND: M-type phospholipase A2 receptor (APLA2R) is considered the major antigen involved in th...

Partial purification and characterization of exoinulinase produced from sp.

Inulinase are industrial food enzymes which have gained much attention in recent scenario. In this s...

Molecular identification and in vitro antifungal susceptibility of Scedosporium complex isolates from high-human-activity sites in Mexico.

The genus Scedosporium is a complex of ubiquitous moulds associated with a wide spectrum of clinical...

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Accurate segmentation of perivascular spaces (PVSs) is an important step for quantitative study of P...

Kidney Detection in 3-D Ultrasound Imagery via Shape-to-Volume Registration Based on Spatially Aligned Neural Network.

This paper introduces a computer-aided kidney shape detection method suitable for volumetric (3D) ul...

Imidazolium ionic liquids as effective antiseptics and disinfectants against drug resistant S. aureus: In silico and in vitro studies.

This paper describes Quantitative Structure-Activity Relationships (QSAR) studies, molecular docking...

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.

BACKGROUND: As a high-prevalence health condition, hypertension is clinically costly, difficult to m...

Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-pre...

Coil Embolization of a Renal Aneurysm Using a Minimally Invasive Endovascular Robotic System.

We present a case demonstrating the use of an endovascular robotic system in the treatment of a sacc...

25-hydroxyvitamin D Levels was not Associated with Blood Pressure and Arterial Stiffness in Patients with Chronic Kidney Disease.

BACKGROUND: We investigated the effect of vitamin D deficiency on cardiovascular risk profiles in an...

Physician perceptions of blood pressure control in patients with chronic kidney disease and target blood pressure achievement rate.

BACKGROUND: Blood pressure (BP) control is the most-established method for the prevention of chronic...

Clinical Significance of Urinary Biomarkers in Patients With Primary Focal Segmental Glomerulosclerosis.

BACKGROUND: Focal segmental glomerulosclerosis (FSGS) is often accompanied with tubulointerstitial l...

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