Nephrology

Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis.

Bio-ontologies provide terminologies for the scientific community to describe biomedical entities in...

Usage of neural network to predict aluminium oxide layer thickness.

This paper shows an influence of chemical composition of used electrolyte, such as amount of sulphur...

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...

Long-term effectiveness of agalsidase alfa enzyme replacement in Fabry disease: A Fabry Outcome Survey analysis.

Outcomes from 5 years of treatment with agalsidase alfa enzyme replacement therapy (ERT) for Fabry d...

IgA nephropathy in systemic lupus erythematosus patients: case report and literature review.

Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...

Should post-kidney transplant patients with localized prostate cancer be undergoing robotic radical prostatectomy?

Serum tests, liver stiffness and artificial neural networks for diagnosing cirrhosis and portal hypertension.

BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models fo...

PhenoMiner: a quantitative phenotype database for the laboratory rat, Rattus norvegicus. Application in hypertension and renal disease.

Rats have been used extensively as animal models to study physiological and pathological processes i...

Perioperative and long-term renal functional outcomes of robotic versus laparoscopic partial nephrectomy: a multicenter matched-pair comparison.

PURPOSE: We compared perioperative and long-term renal functional outcomes of robot-assisted partial...

Accept/decline decision module for the liver simulated allocation model.

Simulated allocation models (SAMs) are used to evaluate organ allocation policies. An important comp...

Electroforming of implantable tubular magnetic microrobots for wireless ophthalmologic applications.

Magnetic tubular implantable micro-robots are batch fabricated by electroforming. These microdevices...

Development of a deep learning model for glomerulus detection and segmentation in kidney histopathology images

Background: Estimation of nephron number, an indicator of renal reserve, requires quantitative asses...

Manifold-Informed Neural Networks for Low-Label ECG Electrolyte Inference

Physics-informed neural networks (PINNs) supervise on the residual of a known differential operator....

Can Routine Clinical Variables Substitute for Urine Albumin Testing in Moderate Chronic Kidney Disease? A Machine Learning Analysis of NHANES 2015 to 2018

Background: Albuminuria is central to staging and risk prediction in chronic kidney disease (CKD), y...

A deep learning-generated hASIC1a miniprotein inhibitor confers neuroprotection in stroke

Ion channels remain notoriously recalcitrant drug targets despite their extensive pathophysiological...

AI-Based Screening Approach for Primary Aldosteronism Using Longitudinal Electronic Health Records

Context Current guidelines for primary aldosteronism (PA) recommend screening all patients with hype...

A structure-preserving neural density functional for the ions of a polymer electrolyte

Predicting the structure and response of inhomogeneous polymer electrolytes requires a description o...

Single-Cell Behavioromics Enables Fate Prediction of Individual Hematopoietic Stem Cells

Achieving near-single-cell precision in the prospective identification of long-term engrafting hemat...

Comprehensive Evaluation and Fine-Tuning of Foundational Cell Nuclei Segmentation Models in Renal Pathology

Accurate nuclei instance segmentation is essential for quantitative renal pathology, yet general-pur...

Patterns of GLP-1 Receptor Agonist Initiation Compared With Other Glucose-Lowering and Anti-Obesity Therapies Among Older Adults

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have rapidly expanded from primaril...

Gauss-Map Variation for Image Denoising: Geometric Analysis and an Anderson--Accelerated Majorization--Minimization Method

We propose a Gauss-map variation (GMV) model for image denoising that measures the spatial variation...