Nephrology

Machine Learning Methods to Predict Diabetes Complications.

One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data. Machine learning algorithms have been embedded into data mining pipelines, which can combine them with classical statistical strategies, to extract knowledge from data. Within the EU-funded MOSAIC project, a data mining pipeline ha...

Detection of Intracranial Hypertension using Deep Learning.

Intracranial Hypertension, a disorder characterized by elevated pressure in the brain, is typically monitored in neurointensive care and diagnosed only after elevation has occurred. This reaction-based method of treatment leaves patients at higher risk of additional complications in case of misdetection. The detection of intracranial hypertension has been the subject of many recent studies in an a...

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 Ductal carcinoma in situ (DCIS), Invasive ductal ...

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 (HCV) genotypes and is the backbone of many anti-HC...

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 integrity. Despite symptomatic variability in patient...

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 different outcome variables of percutaneous nephro...

Organ or not? prolegomenon to organology.

The definition of an organ is vague, so that listing and classifying human organs is problematic. The classical Greek definition of an organ as an ins...

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 countries. Several environmental and genetic factors pred...

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 of branchial cysts or fistulae, external ear malf...

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") could identify distinct hypertension subgroups that ...

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 cure to reduce the mortality rate. Machine learning ...

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

Clinical trials with carfilzomib have indicated a low but reproducible incidence of cardiovascular and renal toxicities. Among 60 consecutive myeloma ...

Cracking the barcode of fullerene-like cortical microcolumns.

Artificial neural systems and nervous graph theoretical analysis rely upon the stance that the neural code is embodied in logic circuits, e.g., spatio...

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 was to compare the performance of multiple linear re...

The Safety and Efficacy of Adjuvant Hemostatic Agents During Laparoscopic Nephron-Sparing Surgery: Comparison of Tachosil and Floseal Versus No Hemostatic Agents.

PURPOSE: To compare the effectiveness of TachoSil and Floseal during laparoscopic nephron-sparing surgery (LNSS), and to evaluate postoperative compli...

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 diabetic patients. We investigated the efficacy of...

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-transplant lymphoproliferative disorder (PTLD). T...

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 planned to verify the association of decreased re...

A case of severe corrosive esophagitis, gastritis, and liver necrosis caused by ingestion of methyl ethyl ketone peroxide.

The plastic hardener methyl ethyl ketone peroxide is unstable peroxide that releases free oxygen radicals. Ingestion of this compound induces widespre...

Postoperative Acute Kidney Injury and Blood Product Transfusion After Synthetic Colloid Use During Cardiac Surgery.

OBJECTIVES: This study assessed the effect of 2 types of hydroxyethyl starches (HES) on renal integrity and blood transfusion in cardiac surgery patie...