Nephrology

Development and validation of a dual-channel deep learning for continuous acute kidney injury prediction in critically ill patients.

This study aimed to develop and externally validate a real-time, continuous prediction model for 48-h acute kidney injury (AKI) risk in critically ill patients using a dual-channel deep learning model (DC-AKI). The model was developed using electronic health records from 28,099 patients at Beth Israel Deaconess Medical Center and externally validated on two independent cohorts: 3,108 patients from...

Integrative machine learning and CRISPR/Cas9 analysis reveals the role of APOE in lipid metabolism-associated kidney fibrosis.

Kidney fibrosis, characterized by excessive extracellular matrix deposition and progressive renal tissue remodeling, frequently culminates in End-stage kidney disease (ESKD). Emerging evidence links dysregulated lipid metabolism to renal fibrogenesis; however, the precise molecular mechanisms connecting these processes remain elusive. Apolipoprotein E (APOE), a central coordinator of lipid transpo...

Insulin resistance surrogate indices and incident cardiovascular disease across cardiovascular-kidney-metabolic stages 0-3: a prospective cohort study.

BACKGROUND: The American Heart Association (AHA) recently proposed the concept of Cardiovascular-Kidney-Metabolic (CKM) syndrome, highlighting the str...

Developing a machine learning model to predict renal function decline within three years using one-year longitudinal data in patients with type 2 diabetes.

AIMS: The increasing prevalence of type 2 diabetes mellitus (T2DM) has led to an increase in diabetic kidney disease (DKD), which is presently a major...

Analysis of end-stage renal disease mediated by cuproptosis-related genes.

OBJECTIVE: The complex pathophysiological mechanism of end-stage renal disease (ESRD) has not been fully understood. Cuproptosis is a newly discovered...

Improving mortality prediction in critically ill cancer patients with a multidimensional machine learning model.

BACKGROUND: Prognostic assessment in critically ill cancer patients is challenging due to the suboptimal performance of traditional severity scores. W...

Real-World Analysis of Organ Transplantation-Specific Agent Based on Large Language Model in Post-Transplant Self-Management During Off-Hours: A Mixed-Methods Study.

OBJECTIVE: A significant gap exists in medical support for organ transplant patients during out-of-hours (OOH). General large language models (LLMs), ...

Machine learning phenotypes and heterogeneous albumin effects in cirrhotic AKI: a causal inference study.

Current guidelines recommend albumin infusion as a first-line treatment for acute kidney injury (AKI) in patients with cirrhosis. However, recent larg...

AI-driven therapeutic antisense oligonucleotide for processing-deficient progeroid laminopathies.

BACKGROUND: Progeroid laminopathies (PLs), including Hutchinson-Gilford progeria syndrome (HGPS), are rare premature aging disorders in which cardiova...

Systematic review and meta-analysis of the diagnostic test accuracy of artificial intelligence in predicting intradialytic hypotension in hemodialysis patients.

Intradialytic hypotension (IDH) is one of the most common complications of hemodialysis. In order to prevent IDH, Artificial intelligence (AI) was uti...

Time-dependent predictive contribution of the triglyceride-glucose index for incident cardiovascular disease in a 9-year Chinese cohort.

This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of CVD using explainable survival analysis method bas...

Integrative Genomic and Clinical Profiling of Colorectal Cancer Liver Metastases to Guide Personalized Surgery and Liver Transplantation.

BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related mortality. Although hepatic resection is the only e...

Bone Mineral Density Loss After Kidney Transplantation: Metabolic Determinants, Diagnostic Approaches, and Preventive Strategies.

Mineral and bone disease (MBD) is a frequent complication after solid organ transplantation. The rapid decline in bone mineral density (BMD) during th...

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal anti-inflammatory drugs (NSAIDs) during emergency d...

Risk prediction of sepsis-associated acute kidney injury: development, validation of a machine learning model with multicenter data.

BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is a common and severe complication in intensive care unit (ICU) patients, with high incide...

Screening of Medicinal and Edible Homology Substances for Diabetic Kidney Disease Based on GraphBAN.

BACKGROUND: Diabetic kidney disease (DKD) is a critical microvascular complication of diabetes mellitus, and the current pharmacotherapies are limited...

Multi-omics Signature Predicts Anti-EGFR Therapy Benefit in Colorectal Cancer Liver Metastases: A Multi-center Cohort Study.

INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains challenging because many patients exhibit primary...

The evolution of ultrasound in sarcopenia assessment: Global trends, technological shifts, and clinical frontiers.

BackgroundSarcopenia is a progressive skeletal muscle disorder associated with increased disability, morbidity, and mortality. Ultrasound has gained i...

Clinical applications of artificial intelligence in autosomal dominant polycystic kidney disease.

Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder leading to kidney failure. Recent advancements in arti...

A Review of Failure Modes and Safety Strategies of Lithium-Ion Batteries from Materials to Systems.

Lithium-ion batteries (LIBs) have rapidly proliferated due to their high energy density, fast charging capability, and long cycle life. However, intri...