Nephrology

Development and validation of interpretable machine learning models for dynamic prediction of prognosis in acute pancreatitis complicated by acute kidney injury: A multicenter study.

OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dynamically predict mortality risk among intensive care unit (ICU) patients diagnosed with acute pancreatitis complicated by acute kidney injury (AP-AKI). METHODS: The clinical data in the training set, including demographic characteristics, laboratory indicators, scoring systems, treatment modalities,...

Machine Learning-Guided Solvation Engineering of Chiral Viologens for Durable Neutral Aqueous Organic Flow Batteries.

Conventional N-alkylated viologen electrolytes in neutral aqueous organic redox flow batteries (AORFBs) undergo irreversible nucleophilic SN2 dealkylation degradation. Moreover, trial-and-error molecular design often fails to resolve the solubility-stability trade-off in high-concentration systems. Here we report a machine learning (ML) strategy using large language models (LLMs) trained on over 1...

Performance of an automated Korotkoff sound BP monitor in cardiovascular patients.

OBJECTIVES: Accurate blood pressure measurement is essential for cardiovascular risk management, but conventional oscillometric devices are unreliable...

Factors Impacting the Performance of Deep Learning Detection of Pulmonary Emboli.

OBJECTIVE: AI models are increasingly adopted in clinical practice, yet their generalizability outside controlled validation settings remains unclear....

Cation-Ordering-Driven Design of Superionic Lithium Halospinels.

Reducing the material cost of inorganic solid-state electrolytes is crucial to advancing all-solid-state batteries (ASSBs) for next-generation energy ...

Machine learning survival analysis for predicting kidney disease progression in patients with acute kidney injury undergoing continuous kidney replacement therapy: An analysis of the LINKA database.

PURPOSE: The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor ...

Generation of explainable QSAR models for predicting chemical-induced urinary tract toxicity.

Chemical-induced urinary tract toxicity, particularly in the bladder and ureters, remains undercharacterized relative to nephrotoxicity. We present an...

Acute kidney injury prediction and prognostication using machine learning.

Acute Kidney Injury (AKI) is a major health concern with high costs and poor outcomes, partly due to late diagnosis. This paper reviews the applicatio...

Integrated analysis of single-cell and bulk RNA-seq data identifies NR4A1-associated macrophages in immunoglobulin A nephropathy.

Immunoglobulin A nephropathy (IgAN), the most prevalent primary glomerulonephritis worldwide, is characterized by chronic renal inflammation and progr...

Bioinspired High-Performance Neuromorphic Devices Enabled by Thienoviologen-Based Electrochemical Ion Gating.

Neuromorphic computing is a bioinspired paradigm that emulates the structure and functionality of biological neural networks, demanding cutting-edge m...

Visceral Adipose Tissue Alters Podometrics and Renal Compensation After Uninephrectomy.

INTRODUCTION: Obesity is an established risk factor for chronic kidney disease (CKD). However, excess visceral adipose tissue (VAT) termed visceral ob...

Methodological Variations in 24-Hour Urine Collection for Nephrolithiasis: A Systematic Review of Reporting Practices and Clinical Implications.

BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of nephrolithiasis. Despite its widespread use, methodolo...

Relationship between cardiometabolic index and worsening renal function in T2DM: Insights from machine learning, growth mixture modelling, and development of a web-based risk prediction tool.

AIM: Worsening renal function (WRF) is a common and serious complication of type 2 diabetes mellitus (T2DM), contributing to adverse clinical outcomes...

Clinical decision support system for detecting right ventricular dysfunction in acute pulmonary embolism: Explainable a new Binary Rule Search (BRS) ensembles and robustness evaluation.

BACKGROUND: Right-ventricular dysfunction (RVD) in acute pulmonary embolism (PE) carries excess short-term mortality; fast, transparent risk stratific...

Granular Machine Learning-Based Computed Tomography Contrast Phase Prediction.

OBJECTIVE: To develop and evaluate a machine learning framework that detects intravenous contrast and distinguishes eight granular renal contrast phas...

Defining weight trajectory after liver transplantation using generative artificial intelligence.

A better understanding of weight trajectories in liver transplant (LT) recipients is essential to improving clinical outcomes. We utilized Generative ...

Predicting postoperative length of stay: a feature selection approach to predictive modeling in lumbar fusion surgery.

BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allocation in lumbar fusion surgery. This study aimed ...

Exploring Patients' Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial.

OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyr...

Enhancing Glomerular Hematuria Identification in Automated Urinalysis Using a Light Gradient Boosting Machine-Based Model: A Diagnostic Accuracy Study.

BACKGROUND: Glomerular hematuria (GH) is a key parameter assessed during urine analysis that is poorly identified using the automated UF-5000 system, ...

Quantitative analysis of 3-monochloropropane-1,2-diol in fried oil using convolutional neural networks optimizing with a hybrid feature selection based on Fourier transform infrared spectroscopy.

To address challenges in quantifying 3-monochloropropane-1,2-diol (3-MCPD), a toxic compound formed during oil refining with nephrotoxic, reproductive...