Nephrology

Flow-driven left ventricular remodelling in long-term haemodialysis: a multicenter model of arteriovenous access-induced cardiac load.

BACKGROUND: Arteriovenous (AV) access, an essential component of dialysis treatment, has been implicated in the development of cardiovascular abnormalities. However, whether AV access blood flow and the duration of exposure to this flow, as represented by the dialysis vintage, have independent or interactive effects on cardiac outcomes remains unclear. METHODS: In this multicenter cross-sectional ...

Using human-robot interaction to assess emotion recognition in dialysis patients: A preliminary study.

This cross-sectional observational study examined the relationship between psychological factors and multimodal emotion recognition abilities in patients with chronic kidney disease (CKD), introducing a humanoid robot as an innovative assessment modality. Sixty adults undergoing dialysis and awaiting renal transplantation (63.3 % male; mean age = 53.95 years, range 20-80) completed three emotion r...

Non-coding RNAs as prognostic biomarkers in autoimmune disease.

Autoimmune diseases comprise a broad spectrum of disorders in which both the innate and adaptive branches of the immune system malfunction, mistakenly...

Prediction of the low-temperature properties of electrolyte solvents for lithium-ion batteries via machine learning.

Electrolytes with low melting points (MPs), high boiling points (BPs), and high dielectric constants (ε) can effectively mitigate performance degradat...

Factors influencing long-term outcomes in lung transplantation: effective monitoring and comprehensive intervention.

PURPOSE OF REVIEW: Achieving long-term survival after lung transplantation remains a major challenge. Outcome determinants have expanded beyond pathop...

Atomically Precise Metal Clusters for NIR-II Imaging.

ConspectusNear-infrared II (NIR-II, 1000-3000 nm), also defined as shortwave infrared (SWIR) imaging, offers reduced light scattering and low tissue a...

Explainable machine learning-based 28-day mortality prediction model for elderly patients with acute kidney injury.

Elderly patients with acute kidney injury (AKI) face a significantly increased mortality risk. Recent advances in machine learning technology have mad...

Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools.

BACKGROUND: Post-operative outcomes of cardiovascular surgery vary greatly among patients for a variety of reasons. While the specific reasons are oft...

Iatrogenic plasticizer Di(2-ethylhexyl) phthalate (DEHP) exposure increases Sepsis mortality risk: Machine learning implicates monocyte-driven immune dysregulation.

Sepsis poses a significant global health burden, and ICU patients are disproportionately exposed to di(2-ethylhexyl) phthalate (DEHP), an immunotoxic ...

Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI.

PURPOSE: This study aims to develop and evaluate a fully automated deep learning-driven postprocessing pipeline for multiparametric renal MRI, enablin...

Lightweight Truncated Fused-MirrorNet for Classification and Analysis of Histopathology Images.

Renal cell carcinoma is the primary cause of cancer-related mortality, highlighting the importance of early detection and accurate diagnosis. Manual h...

Revealing the limits of covalent docking and advancing affinity prediction with covalent-aware multi-task learning.

Targeted covalent inhibitors (TCIs) have become an important modality in modern drug discovery, but computational tools for covalent pose prediction a...

Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation and Clinical Outcomes in Kidney Transplant Recipients.

BACKGROUND: Incident atrial fibrillation (AF) is common following kidney transplantation (KTx) and is associated with worse clinical outcomes. Artific...

Risk stratification in diabetic kidney disease: a review of prediction models for methodological advances and clinical application.

BACKGROUND: Diabetic kidney disease (DKD) represents the leading cause of end-stage renal disease (ESRD) worldwide, characterized by a complex pathoph...

Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy.

BACKGROUND: Hepatitis B (HBV) is a chronic viral infection that can lead to cirrhosis, liver failure, and liver cancer, and has a profound impact on t...

Management of complex renal stones in horseshoe kidney using real-time intrarenal pressure monitoring with artificial intelligence in retrograde intrarenal surgery: A case report.

Retrograde intrarenal surgery (RIRS) in horseshoe kidneys is technically challenging due to altered anatomy and unstable intrarenal pressure (IRP). We...

Prediction of risk factors and electrocardiographic changes in chronic kidney disease patients.

OBJECTIVES: Chronic kidney disease (CKD) is a global health issue with significant morbidity and mortality, particularly due to cardiovascular events....

Prediction of Fontan failure and correlates of Fontan-associated liver disease severity using machine learning and radiomic features from multi-parametric abdominal MRI.

BACKGROUND: Fontan-associated liver disease (FALD) is associated with morbidity and mortality in patients with palliated single ventricle congenital h...

A rapid and accurate guanidine CEST imaging in ischemic stroke using a machine learning approach.

OBJECTIVE: Rapid and accurate mapping of brain tissue pH is crucial for early diagnosis and management of ischemic stroke. Amide proton transfer (APT)...

Predicting adverse events for risk stratification of chemotherapy based stem cell mobilization in multiple myeloma.

Autologous stem-cell transplantation is a fundamental therapy for multiple myeloma. Although inpatient chemo-based stem-cell mobilization (SCM) is sta...