Nephrology

Temozolomide radiochemotherapy for high-grade glioma patients with hemodialysis: a case series of 7 patients.

BACKGROUND: The pharmacokinetics of temozolomide (TMZ) in patients with severe renal impairments (creatinine clearance, <36 mL/min/m) or in hemodialysis (HD) patients has not been investigated. TMZ and its metabolic products are mainly excreted in urine, as retention of these in the body may result in increased adverse events in HD patients.

A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations.

Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanometer are widely used to diagnose hypertension, they could not predict the disease before its onset. Clinical studies suggest that alterations in the structure of human brains' cerebrovasculature start to develop years before the onset of hypertension. In this research, we present a novel computer-ai...

Influence of dietary roughage level and on feedlot performance and carcass composition of thin cull beef cows fed for a lean market.

One hundred forty-four cull cows (body condition score = 2.10 ± 0.61; BW = 456 ± 47 kg) were organized into a 2 2 factorial design (48 pens, 12 pens/...

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity ...

Methylglyoxal-derived advanced glycation end products induce matrix metalloproteinases through activation of ERK/JNK/NF-κB pathway in kidney proximal epithelial cells.

The accumulation of reactive α-dicarbonyl leading to advanced glycation end products (AGEs) have been linked to pathophysiological diseases in many st...

Biotin supplement interference with immunoassays for parathyroid hormone and 25-hydroxyvitamin D in a patient with metabolic bone disease on maintenance hemodialysis.

Biotin (vitamin B7) is a dietary supplement that can lead to falsely abnormal endocrine function tests. The impact of biotin on both 25-hydroxyvitamin...

Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.

OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed tomography and machine learning.

Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair.

OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneurysm repair (TAAAR) is helpful for decision-making...

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwide. The present study was designed to construct a S...

Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.

Liver disease causes millions of deaths per year worldwide, and approximately half of these cases are due to cirrhosis, which is an advanced stage of ...

Antioxidant Effect of Virgin Coconut Oil on Urea and Creatinine Levels on Maximum Physical Activity.

BACKGROUND: Maximal physical activity can produce an imbalance between reactive oxygen species (ROS) and antioxidants which are possibly related to fa...

Fuzzy logic-based clinical decision support system for the evaluation of renal function in post-Transplant Patients.

OBJECTIVES: In the context of the gradual development of artificial intelligence in health care, the clinical decision support systems (CDSS) play an ...

Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.

Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New informatics approaches including natural language p...

The low-protein diet for chronic kidney disease: 8 years of clinical experience in a nephrology ward.

BACKGROUND: Guidelines indicate that a low-protein diet (LPD) delays dialysis in severe chronic kidney disease (CKD). We assessed the value of these g...

Sperm Tail Defects and Abnormal Testicular Blood Flow in a Beagle Dog: A Case Report.

A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal morphology, especially sperm tail defects. Althou...

Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distr...

Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (...

Poly(ethylene glycol)-poly(ε-caprolactone)-based micelles for solubilization and tumor-targeted delivery of silibinin.

Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment of many types of in general and cancer in partic...

Using machine learning techniques to develop risk prediction models to predict graft failure following kidney transplantation: protocol for a retrospective cohort study.

A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to clinical management of chronic kidney disease pati...

A machine learning approach for the prediction of pulmonary hypertension.

BACKGROUND: Machine learning (ML) is a powerful tool for identifying and structuring several informative variables for predictive tasks. Here, we inve...