Nephrology

Green finance reform, multifaceted collaborative governance, and corporate greenwashing: Evidence from double/debiased machine learning method.

In order to promote the economic structure's green transformation and identify replicable and genera...

A population based optimization of convolutional neural networks for chronic kidney disease prediction.

Chronic kidney disease (CKD) is a global public health concern, and the timely detection of the dise...

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

The use of machine learning algorithms and artificial intelligence in medicine has attracted signifi...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell...

Development and external validation of a machine learning model for cardiac valve calcification early screening in dialysis patients: a multicenter study.

BACKGROUND: Cardiac valve calcification (CVC) is common in dialysis patients and associated with inc...

Deciphering failure paths in lithium metal anodes by electrochemical curve fingerprints.

Understanding anode failure mechanisms in lithium metal batteries (LMBs) is crucial for their use in...

Advancing Cardiovascular, Kidney, and Metabolic Medicine: A Narrative Review of Insights and Innovations for the Future.

Cardiovascular, kidney and metabolic (CKM) conditions are interrelated, significantly contributing t...

Exploring hypoxia driven subtypes of pulmonary arterial hypertension through transcriptomics single cell sequencing and machine learning.

Pulmonary arterial hypertension (PAH) is a progressive cardiovascular disease characterized by eleva...

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence.

Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated wit...

Mechanism Exploration of Dietary Supplement Astaxanthin on Improving Atherosclerosis through an Integrated Strategy Encompassing Artificial Intelligence Virtual Screening and Experimental Validation.

Atherosclerosis (AS) is a major and common pathological basis of ischemic intestinal infarction, myo...

Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study.

BACKGROUND: Critically ill patients in intensive care units (ICUs) require continuous monitoring, ge...

Association of acute kidney injury with 1-year mortality in granulomatosis with polyangiitis patients: a cohort study using mediation analyses and machine learning.

To investigate the correlation between acute kidney injury (AKI) and 1-year mortality in patients wi...

Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis.

OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patient...

Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation.

BACKGROUND: Hospital readmission following renal transplantation significantly impacts patient outco...

Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease.

BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetes mellitus ...

Bioanalysis of antihypertensive drugs by LC-MS: a fleeting look at the regulatory guidelines and artificial intelligence.

Hypertension is a multifaceted cardiovascular disease, a significant risk factor for stroke, heart a...

Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death.

Increasing the number of organ donations after circulatory death (DCD) has been identified as one of...

Diagnostic MicroRNA Signatures to Support Classification of Pulmonary Hypertension.

BACKGROUND: Patients with pulmonary hypertension (PH) are classified based on disease pathogenesis a...

Machine Learning Models for Predicting Type 2 Diabetes Complications in Malaysia.

This study aimed to develop machine learning (ML) models to predict diabetic complications in patien...

Data-Knowledge-Dual-Driven Electrolyte Design for Fast-Charging Lithium Ion Batteries.

Electric vehicles (EVs) starve for minutes-level fast-charging lithium-ion batteries (LIBs), while t...

Artificial intelligence to guide rituximab therapy in patients with phospholipase A2 receptor-associated membranous nephropathy.