Latest AI and machine learning research in nephrology for healthcare professionals.
Improving solid electrolytes is critical for high-performance all-solid-state batteries, yet the microstructural features that enable fast ion transport remain poorly understood. Here, we use multiscale modeling to resolve polycrystalline ion transport from atomic-scale hopping at grain boundaries to continuum-scale percolation, thereby providing insights into realistic solid-electrolyte microstru...
Automated deep learning-based segmentation is increasingly used in medical imaging to enable rapid biomarker extraction. Manual quality control (QC) of segmentation outputs remains standard prior to downstream analysis. In autosomal dominant polycystic kidney disease (ADPKD), reliable segmentation is essential for accurate total kidney volume measurement, a key biomarker for disease monitoring. We...
The Cardiovascular-Kidney-Metabolic (CKM) syndrome reframes cardiovascular, kidney, and metabolic disease as an integrated continuum, yet its manageme...
BACKGROUND: Despite advances in understanding and treating non-ST-elevation acute coronary syndrome (NSTE-ACS), patients continue to experience high r...
Solid-liquid interfaces dictate the performance and longevity of aqueous batteries. While rationally designed electrolyte additives offer a potent str...
BACKGROUND AND AIMS: Computed tomography texture analysis, powered by machine learning techniques, may differentiate clear cell renal cell carcinoma (...
Post-operative acute kidney injury (PO-AKI) is a frequent complication after non-cardiac surgery, substantially increasing patients' mortality and mor...
Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is increasingly used as a surgical alternative for T1a...
Prognostication in end-stage kidney disease is fundamental to person-centered care and shared decision-making. This review summarizes the current evid...
BACKGROUND: Chronic kidney disease (CKD) is projected to become one of the leading causes of premature mortality worldwide by 2050. Simultaneously, ad...
Highly concentrated electrolytes often exhibit a counterintuitive combination of reduced bulk ionic conductivity and markedly improved cycling stabili...
OBJECTIVE: Post-infarction ventricular septal rupture (PIVSR) is a fatal mechanical complication of acute myocardial infarction. We aimed to develop a...
BACKGROUND: Hyperphosphataemia is a common metabolic complication of CKD and is associated with poor health outcomes. Dietary intervention is a key st...
BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel marker for cardiovascular disease. Current diagnos...
Due to their high specific energy, lithium-metal batteries (LMBs) are widely regarded as the promising next-generation energy storage devices. Neverth...
OBJECTIVE: Renal cell carcinoma (RCC) is a common malignancy that metastasizes to the spine, leading to complex treatment challenges and reduced survi...
BACKGROUND: As the prevalence of diabetes rises, diabetic kidney disease (DKD) has become a leading cause of end-stage renal disease. Big data analysi...
Urinary extracellular vesicles (uEVs) provide noninvasive biomarkers for liquid biopsy owing to their ability to reflect disease-associated molecular ...
BACKGROUND: Antibody-mediated rejection (AMR) is the main driver of late kidney allograft loss. Anti-HLA donor-specific antibodies (DSA) are strongly ...
OBJECTIVE: This study aimed to identify the factors contributing to Prolonged Length of Stay (PLOS) in intensive care units for sepsis patients combin...