Nephrology

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...

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...

Machine learning-driven prognostication in liver transplantation: A tacrolimus intrapatient variability enhanced predictive model.

BACKGROUND: Accurately predicting long-term survival after liver transplantation (LT) remains a majo...

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...

Cluster-defined gout subtypes exhibit divergent chronic kidney disease trajectories: a machine learning approach in a Chinese prospective cohort.

OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney d...

Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) ...

Machine learning-assisted discovery of outside-in structure Ni-rich cathode with high performance.

Ni-rich oxides have emerged as leading cathode candidates for lithium-ion batteries because of high ...

Integrated bioinformatics reveals tubulointerstitial immune microenvironment signatures and machine learning-driven prognostication of clinical treatment response in lupus nephritis.

Lupus nephritis (LN) represents the most severe renal manifestation of systemic lupus erythematosus ...