Nephrology

Linear-Scaling and Memory-Efficient Implementation of van-der-Waals Interaction (DFT-D3) for Large Systems.

The van der Waals (vdW) interaction is ubiquitous in materials and is long-range by nature. To facil...

Utility of Machine Learning in Predicting Catastrophic Cardiac Complications Following Hip and Knee Periprosthetic Fracture Surgery Using Preoperative Parameters.

BACKGROUND: With the rising prevalence of primary total hip (THA) and knee arthroplasties (TKA), the...

Causal mediation analysis with one or multiple mediators: A comparative study.

Mediation analysis decomposes the causal effect of a treatment on an outcome into an indirect effect...

An informed monotone neural network for multi-stage chronic kidney disease prediction with integrated GFR estimation.

Chronic kidney disease (CKD) is a progressive condition affecting over 850 million people worldwide,...

Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.

Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death ...

Association Between Breast Arterial Calcifications and Increased Cardiovascular Risk: A Canadian Perspective on Clinical Implications and the Potential Role in Preventive Care.

Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been...

Network toxicology and single-cell transcriptomics nominate candidate pyrethroid-associated targets and pathways in clear cell renal cell carcinoma.

Pyrethroid insecticides are widely used in agricultural and domestic settings. Increasing evidence s...

Does Hypotension Prediction Index limit the occurrence of postoperative complications associated with intraoperative hypotension? A systematic review and model-averaged Bayesian meta-analysis of statistically sound studies.

Intraoperative hypotension (IOH) is considered a potential contributing factor to postoperative comp...

Unsupervised clustering of clinical and laboratory features of systemic lupus erythematosus: insights from a multicentre cohort.

OBJECTIVE: This study explored the relationship between clinical phenotypes and immuno-molecular fea...

Feasibility study of ultrasound-guided, power-assisted needle insertion for hemodialysis cannulation using an innovative, handheld device.

BACKGROUND: Vascular access (VA) for hemodialysis is achieved through arteriovenous fistulas (AVF), ...

Large-scale AI analysis reveals missed opportunities in albuminuria testing and disease-modifying therapy implementation.

BACKGROUND: Albuminuria is a key diagnostic and prognostic biomarker of chronic kidney disease (CKD)...

AI-Assisted Dialysis Decision-Making: Assessing Agreement Between ChatGPT and Nephrologist in Initial Dialysis Indication and Prescription in Emergency and ICU Settings.

BACKGROUND Artificial intelligence (AI) is increasingly explored as a clinical decision-support tool...

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (I...

Community-based early-stage chronic kidney disease screening using explainable machine learning for low-resource settings.

BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression ...

Deep Learning-based Segmentation for Assessment of Kidney Tumour Ablation Therapy in CT Images.

Kidney tumor ablation is a minimally invasive treatment for Renal Cell Carcinoma (RCC). Manual segme...

Deep Learning-Based Image Analysis Model for Classification and Quantification of Multiple Histopathological Findings in Rat Testis and Epididymis.

Supervised deep learning-based image analysis models using whole slide images (WSIs) have been repor...

Multilevel Artificial Intelligent Framework Accelerates Electrolytes Design for Aqueous Batteries.

The lack of clear guidance for designing novel aqueous electrolytes with wide electrochemical stabil...

Development and validation of a nomogram for predicting advanced chronic kidney disease.

The objective of this study was to develop and validate a nomogram for predicting advanced chronic k...

A deep learning-based multimodal model with automated body composition analysis predicts prognosis in advanced clear cell renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC) is an aggressive malignancy with a high risk of postoperativ...

Machine learning-based risk stratification of early graft failure in simultaneous pancreas-kidney transplantation.

Multimorbidity and major adverse cardiovascular events in antipsychotic users: Time-to-event prediction by explainable machine learning.

Antipsychotic treatment is associated with higher risk of major adverse cardiovascular events (MACEs...