Nephrology

NSUN2 restrains renal fibrosis via m5C-stabilized GPX4 and ferroptosis inhibition.

BACKGROUND: Renal fibrosis (RFib) is a final common pathway in chronic kidney disease (CKD) progression. Although 5-methylcytosine (m5C) RNA modification can regulate mRNA fate, its role in RFib and redox-regulated cell death remains incompletely defined. METHODS: Public GEO cohorts were analyzed to identify dysregulated m5C regulators and enriched pathways in RFib. RFib was modeled in vivo using ...

Artificial intelligence-based prediction of radio-cephalic arteriovenous fistula maturation using preoperative duplex examination: a retrospective multicenter cohort study.

Establishing a functional arteriovenous fistula (AVF) is crucial to ensure effective dialysis treatment. However, there are currently no definitive criteria for predicting AVF maturation using preoperative ultrasound. This study aims to assess the efficacy of AI-driven models in analyzing comprehensive ultrasonographic variables across multiple forearm locations to predict successful AVF maturatio...

Performance evaluation of five large language models for assisting in the interpretation of urinalysis reports for kidney diseases: a real-world study.

OBJECTIVES: Large language models (LLMs) show promise for interpreting laboratory reports, yet real-world validation remains limited. This study evalu...

Clinical utility of BOLD-MRI in accurate diagnosis and prognostic evaluation of diabetic nephropathy: a prospective renal biopsy-based cohort study.

OBJECTIVES: To validate blood oxygen level-dependent MRI (BOLD-MRI) for non-invasive discrimination of diabetic nephropathy (DN) vs non-diabetic renal...

Accelerating Leigh syndrome drug discovery through deep learning screening in brain organoids.

Leigh syndrome (Leigh) is an untreatable mitochondrial disorder characterized by lactic acidosis and basal ganglia and midbrain pathology, leading to ...

Accelerated Screening of Electrolyte Solvents for High Safety Batteries Using Machine Learning.

We present a high-throughput screening approach to identifying safer nonaqueous solvents to replace or modify the flammable, carbonate-based solvents ...

ZFP36-ferroptosis axis as a key renal protective pathway in diabetic kidney disease.

Diabetic Kidney Disease (DKD) is strongly related to ferroptosis, an iron-dependent form of programmed cell death characterized by the accumulation of...

Integrated multi-omics data and machine learning approaches to decipher the molecular network and gene signatures of renal cell carcinoma induced by aristolochic acid.

OBJECTIVE: This study aims to delineate the molecular mechanisms through which aristolochic acid (AA) exposure drives renal cell carcinoma (RCC) patho...

Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.

OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged hospitalization, chronic kidney disease, and increas...

Enhancing Vibrational Spectroscopy-Based Diagnosis through Bottom-Up Modeling: The Case of Infrared Absorption Spectrum of Urine.

Vibrational spectroscopy has become a valuable tool for biomedical applications. However, the technique generates large empirical spectral data sets, ...

Outcomes of perioperative intra-aortic balloon pump support in patients undergoing aortic valve surgery: A single-centre, retrospective, observational study.

BACKGROUND: Patients undergoing aortic-valve surgery are prone to perioperative low-cardiac-output syndrome or progression to cardiogenic shock, which...

Fully digital and robot-assisted workflow for mandibular molar autotransplantation: A proof-of-concept.

OBJECTIVES: To present a robot-assisted protocol for autogenous mandibular molar transplantation using an autonomous robotic system for shape-matched ...

Current applications of augmented reality in urology: clinical practice, training, and future directions: an EAU endourology and YAU opinion.

PURPOSE OF REVIEW: Augmented reality and related extended-reality technologies have been increasingly investigated in urology to support procedures ch...

Uncertainty-aware AI for tumor subtyping with histology and immunohistochemistry: A multi-center study in Renal Cell Carcinoma.

BACKGROUND AND OBJECTIVE: Accurate classification of Renal Cell Carcinoma (RCC) subtypes is essential for personalized therapy, as prognostic outcomes...

Advances in HLA and Non-HLA Immune Profiling: Integrating Next-Generation Sequencing and Artificial Intelligence in Transplantation.

Understanding transplantation outcomes requires an integrated view of immunological, genetic, and clinical determinants that collectively shape graft ...

Machine Learning-Driven Ensemble Screening of Multitarget Kinase Inhibitors for Tauopathy-Associated Neurodegeneration Using All-Atom and Steered MD Simulations.

Tauopathies arise when normal functions of the tau protein in axonal transport and neuronal maintenance are disrupted by an imbalance between kinases ...

Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models.

Arteriovenous (AV) fistulas, the preferred vascular access for hemodialysis, fail to mature in up to 60% of patients with kidney failure. This high fa...

Oral microbiome signatures predict biological age and host health.

Identifying robust, non-invasive biomarkers of biological age is key to preventive medicine. While gut aging clocks exist, the oral microbiome remains...

Predicting primary resistance to third-generation EGFR-TKIs in lung adenocarcinoma using a multisource cross-modal transformer model.

The aim of this study was to investigate the utility of a multisource cross-modal Transformer (MC-Trans) model in predicting primary resistance to thi...

Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.

BACKGROUND AND OBJECTIVE: Accurate prediction of mortality risk after cardiac surgery is crucial for perioperative management. The laboratory-based fr...