Nephrology

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

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Neuromorphic device architectures with global connectivity through electrolyte gating.

Information processing in the brain takes place in a network of neurons that are connected with each...

Performance of Machine Learning Algorithms for Qualitative and Quantitative Prediction Drug Blockade of hERG1 channel.

Drug-induced abnormal heart rhythm known as (TdP) is a potential lethal ventricular tachycardia fou...

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which deve...

Detection of Intracranial Hypertension using Deep Learning.

Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is typically ...

Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection.

Different types of breast cancer are affecting lives of women across the world. Common types include...

Sofosbuvir-based regimens for the treatment of chronic hepatitis C in severe renal dysfunction.

Sofosbuvir (SOF) is a nonstructural 5B polymerase inhibitor with activity in all hepatitis C virus (...

Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

The immune system has evolved to sense invading pathogens, control infection, and restore tissue int...

Artificial Neural Network System to Predict the Postoperative Outcome of Percutaneous Nephrolithotomy.

PURPOSE: To construct, train, and apply an artificial neural network (ANN) system for prediction of ...

Organ or not? prolegomenon to organology.

The definition of an organ is vague, so that listing and classifying human organs is problematic. Th...

Case report of a novel mutation of the gene in a patient with branchio-oto-renal syndrome.

Branchio-oto-renal (BOR) syndrome is an autosomal dominant disorder characterized by the coexistence...

Polymorphism of angiotensin-converting enzyme (rs4340) and diabetic nephropathy in Caucasians with type 2 diabetes mellitus.

Diabetic nephropathy (DN) is the leading cause of endstage renal disease (ESRD) in developed countri...

Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.

We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") co...

Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods.

As Chronic Kidney Disease progresses slowly, early detection and effective treatment are the only cu...

Cardiac and renal complications of carfilzomib in patients with multiple myeloma.

Clinical trials with carfilzomib have indicated a low but reproducible incidence of cardiovascular a...

Cracking the barcode of fullerene-like cortical microcolumns.

Artificial neural systems and nervous graph theoretical analysis rely upon the stance that the neura...

Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.

Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our goal wa...

Effects of Ipragliflozin on Diabetic Nephropathy and Blood Pressure in Patients With Type 2 Diabetes: An Open-Label Study.

BACKGROUND: Sodium-glucose cotransporter 2 (SGLT2) inhibitors are novel agents used to treat type 2 ...

Asymptomatic Epstein-Barr Virus Shedding in the Urine of Kidney Transplant Recipients: Case Reports and Review of the Literature.

Epstein-Barr virus (EBV) is associated with a wide range of malignancies and complications like post...

Decreased Renal Function Is a Risk Factor for Subclinical Coronary Atherosclerosis in Korean Postmenopausal Women.

OBJECTIVES: Decreased renal function is associated with increased cardiovascular risk. Our study was...

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