Nephrology

Effect of Chronotherapy of Antihypertensives in Chronic Kidney Disease: A Randomized Control Trial.

INTRODUCTION: There is a higher prevalence of non-dipping pattern in hypertensive chronic kidney dis...

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm.

Pre-treatment determination of renal cell carcinoma aggressiveness may help guide clinical decision-...

The validity of Dutch health claims data for identifying patients with chronic kidney disease: a hospital-based study in the Netherlands.

BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kid...

Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.

Artificial intelligence (AI) has demonstrated promise in predicting acute kidney injury (AKI), howev...

Comprehensive evaluation of the combined extracts of Epimedii Folium and Ligustri Lucidi Fructus for PMOP in ovariectomized rats based on MLP-ANN methods.

ETHNOPHARMACOLOGICAL RELEVANCE: Kidney deficiency is the main pathogenesis of osteoporosis based on ...

Role of Intravenous Ascorbic Acid in the Management of Anemia in Hemodialysis Patients.

INTRODUCTION: Patients with end-stage kidney disease (ESKD) suffer from functional iron deficiency w...

Hyperuricemia and Impaired Renal Function: A Prospective Cohort Study.

BACKGROUND: Related studies have demonstrated a relationship of elevated serum uric levels with a de...

Long-term outcomes of minimally invasive surgeries in partial nephrectomy. Robot or laparoscopy?

BACKGROUND: To compare long-term oncological and renal functional outcomes of laparoscopic and robot...

Deep Learning-Based Segmentation and Quantification in Experimental Kidney Histopathology.

BACKGROUND: Nephropathologic analyses provide important outcomes-related data in experiments with th...

Radiomic Detection of EGFR Mutations in NSCLC.

Radiomics is defined as the use of automated or semi-automated post-processing and analysis of multi...

Cognitive impairment in patients with moderate to severe chronic kidney disease: the Salford kidney cohort study.

BACKGROUND: Cognitive impairment in chronic kidney disease (CKD) is common and underrecognized [1, 2...

Comparison of postoperative recovery after robot-assisted partial nephrectomy of T1 renal tumors through retroperitoneal or transperitoneal approach: A Japanese single institutional analysis.

OBJECTIVE: To evaluate the quality of recovery in patients who underwent robot-assisted partial neph...

Calprotectin and Neutrophil Gelatinase-Associated Lipocalin As Biomarkers of Acute Kidney Injury in Acute Coronary Syndrome.

BACKGROUND: Acute kidney injury (AKI) is increasingly being seen in patients with acute coronary syn...

Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods.

PURPOSE: To develop and validate a deep learning and thresholding-based model for automatic kidney s...

Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning.

Machine learning (ML) has shown its potential to improve patient care over the last decade. In organ...

Feasibility of evaluation of the natural history of kidney disease in the general population using electronic healthcare records.

BACKGROUND: Knowledge about the nature of long-term changes in kidney function in the general popula...

Oxide-Based Electrolyte-Gated Transistors for Spatiotemporal Information Processing.

Spiking neural networks (SNNs) sharing large similarity with biological nervous systems are promisin...

Living Donor Liver Transplant: Send in the Robots.

Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase in...

A machine learning analysis of a "normal-like" IDH-WT diffuse glioma transcriptomic subgroup associated with prolonged survival reveals novel immune and neurotransmitter-related actionable targets.

BACKGROUND: Classification of primary central nervous system tumors according to the World Health Or...

Dyspnea, effort and muscle pain during exercise in lung transplant recipients: an analysis of their association with cardiopulmonary function parameters using machine learning.

BACKGROUND: Despite improvement in lung function, most lung transplant (LTx) recipients show an unex...