Nephrology

Artificial Piezoelectric Interface Enables Ultrafast Interfacial Ion Kinetic for Highly-Sensitive Piezoionic Sensors.

Flexible piezoionic sensors are promising in artificial intelligence and biomedical engineering, while presenting low signal, delayed response, and limited sensitivity. This is mainly because the ion migration kinetics is sluggish at electrode/electrolyte interface inside all-solid-state piezoionic sensors during the sensing process. Here, an artificial piezoelectric interface is engineered into f...

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning.

BACKGROUND: Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study aimed to identify preprocedural factors to predict the risk of 30-day all-cause mortality post-PCI using machine learning (ML) approaches. METHODS: The study analysed 93 055 consecutive PCI procedur...

MedFusion-gP-AKI: development and multicenter validation of a machine learning fusion model for early prediction of KDIGO stage 3 acute kidney injury in critically ill traumatic cervicothoracic spinal cord injury patients.

KDIGO stage-3 acute kidney injury (AKI), a life-threatening complication in critically ill patients with traumatic cervicothoracic spinal cord injury ...

A nine-gene diagnostic model for IgA nephropathy based on multi-cohort machine learning: integrating gene expression and immunohistochemical validation.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis, requiring improved diagnostic tools. We analyzed three cohorts (GSE37460, GSE937...

Integrating pesticide molecular, soil, and electrolyte features through tree-based ensemble learning for accurate sorption prediction.

Although machine learning (ML) has been increasingly used to predict pesticide sorption, most existing models rely primarily on molecular and soil des...

Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study.

BACKGROUND: Preoperative determination of clear cell renal cell carcinoma (ccRCC) World Health Organization/International Society of Urological Pathol...

Empirical evaluation of variability and multi-institutional generalizability of deep learning survival models: application to renal cancer CT scans.

Deep learning survival (DLS) modeling has shown significant promise across multiple disease conditions for predicting patient outcomes via biomedical ...

Machine learning-based prognostic analysis of patients with status epilepticus in the neurological intensive care unit.

OBJECTIVE: This study aimed to develop and validate machine learning (ML) models for predicting the prognosis of status epilepticus (SE) patients with...

Predicting Electrolyte Stability in Lithium and Post-Lithium Metal Batteries: The Failure of Linear Single Descriptor-Based Models.

A stable solid electrolyte interphase (SEI), formed by the reductive decomposition of electrolytes at the anode surface, is crucial for ensuring the s...

Unveiling Endotypes in Systemic Lupus Erythematosus Through Multi-Omic Analysis: Insights into Cardiovascular and Renal Complications.

BACKGROUND: Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (...

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often diagnosed using ultrasound (US) as a first-line m...

DNA-Logic Trimodal Biofuel Cell Platform for AI-Assisted Dual Pathogen Detection.

A DNA-logic-gated, trimodal, self-powered biosensing platform is developed for the rapid, simultaneous, and on-site detection of two major sugarcane p...

Promoting clinical trials in pediatric IgA nephropathy through extrapolation: an artificial intelligence-enhanced literature review of the disease in pediatrics sponsored by the Kidney Health Initiative.

BACKGROUND: There is an urgent need to evaluate the efficacy of novel therapeutics that have been approved for use in adults with IgA nephropathy (IgA...

Deep learning approaches for time series prediction of renal recovery in medical critically Ill patients with acute kidney injury: LSTM, GRU, and transformer models.

Cation dominated but negatively charged Na2SO4,aq-graphene interfaces.

The distribution of ions and their impact on the structure of electrolyte interfaces plays an important role in many applications. Interestingly, rece...

Preoperative Risk Score for Mortality Within 3 Years of Elective Aortobifemoral Artery Bypass.

BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of elective aortobifemoral artery bypass for aortoiliac ...

Role of the gut microbiome in shaping drug response in immunocompromised hosts.

BACKGROUND: There is an increasing amount of evidence on microbiome-drug interactions in several clinical settings, including in immunocompromised pat...

Evaluation of kidney biological age based on IgG N-glycosylation profiles and its association with chronic kidney disease in the context of predictive, preventive and personalized medicine.

BACKGROUND: Chronic kidney disease (CKD) is associated with premature aging, which reflects in the difference between biological age and chronological...

Nitenpyram promotes breast cancer progression via PARP1: Integration of multi-omics analyses with experimental validation.

Nitenpyram (NIT) is an insecticide used primarily for flea control in pets, especially cats and dogs. Some studies suggest that NIT is associated with...

The steps of constructing and validating an algorithm to identify chronic kidney disease patients in medical administrative databases.

Chronic kidney disease (CKD) represents a heavy global health burden associated with increased mortality and morbidity and high economic impact. Chron...