Nephrology

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...

Robotic transperitoneal infra-renal aortic lymphadenectomy in early-stage endometrial cancer.

OBJECTIVES: To assess the clinical performance of robotic-assisted infra-renal aortic lymphadenectom...

Associated Da Vinci and magellan robotic systems for successful treatment of nutcracker syndrome.

Here, we report the case of a 26-year-old woman suffering from nutcracker syndrome with concurrent d...

Laparoscopic nephrectomy and partial nephrectomy: intraperitoneal, retroperitoneal, single site.

The indication for use of laparoscopy, in the pediatric population, was initially for diagnostic pur...

Re: Can selective arterial clamping with fluorescence imaging preserve kidney function during robotic partial nephrectomy?

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

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

Endoscopic robot-assisted simple enucleation (ERASE) for clinical T1 renal masses: description of the technique and early postoperative results.

BACKGROUND: Simple enucleation (SE) has proven to be oncologically safe. We describe the surgical st...

Electroforming of implantable tubular magnetic microrobots for wireless ophthalmologic applications.

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

Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses.

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune dis...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

The accuracy of Machine learning in the prediction and diagnosis of diabetic kidney Disease: A systematic review and Meta-Analysis.

PURPOSE: Machine learning (ML) has gained attention in diabetes management, particularly for predict...

Optimizing machine learning interatomic potentials for hydroxide transport: Surprising efficiency of single-concentration training.

We investigate the transferability of machine learning interatomic potentials across concentration v...

Comment on "Artificial intelligence-based multi-modal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study".

Orchestrating Penta-Element Interplay in Gradient-Porous Carbons for Advanced Sodium-Ion Hybrid Capacitors.

Sodium-ion hybrid capacitors (SIHCs) offer a cutting-edge synergy between battery-level energy densi...

Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.

Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhanc...

Tumor-Intrinsic and Microenvironmental Determinants of Impaired Antitumor Immunity in Chromophobe Renal Cell Carcinoma.

PURPOSE: While immune checkpoint inhibition (ICI) has transformed the management of many advanced re...

Personalized Prediction of Chronic Kidney Disease Progression in Patients with Chronic Kidney Disease Stages 3-5: A Multicenter Study Using the Machine Learning Approach.

Chronic Kidney Disease (CKD) is a prevalent and progressive condition that can lead to end-stage ren...

Predicting Nephrectomy Risk in Patients with Renal Cancer Using Real-World Electronic Health Records.

Nephrectomy, the surgical removal of a kidney, is a critical treatment for renal cancer, and predict...

A model based on artificial intelligence for the prediction, prevention and patient-centred approach for non-communicable diseases related to metabolic syndrome.

Metabolic syndrome (MetS) is related to non-communicable diseases (NCDs) such as type 2 diabetes (T2...

Urinary Metabolic Biomarkers of Attentional Control in Children With Attention-Deficit/Hyperactivity Disorder: A Dimensional Approach Through H NMR-Based Metabolomics.

Enhancing the understanding of attention-deficit/hyperactivity disorder (ADHD) by linking biological...