Latest AI and machine learning research in nephrology for healthcare professionals.
To identify potential biomarkers and explore the underlying mechanisms of elderly acute kidney injury (e-AKI), we performed integrative plasma proteomics analysis on samples from 20 e-AKI patients and 20 age-matched non-AKI controls. Differential expression gene analysis, GSEA, WGCNA, random forest, and LASSO models were employed to identify hub genes, coupled with immune cell infiltration and cli...
The estimation formula by Tanaka et al. for predicting the 24-h urinary sodium (Na) excretion (24Na) from a single causal urine sample is widely used. However, it overestimates values in the low 24Na range. We aimed to develop a formula to improve the accuracy, particularly for samples with 24Na < 2 g/day. Stored data from 187 hypertensive patients (mean age, 66.1 years; 56.7% female) who underwen...
RATIONALE & OBJECTIVE: Generative artificial intelligence (AI) may help patients better understand the complexities of kidney transplantation. However...
Chronic kidney disease (CKD) is a complicated global health disease that causes serious health issues like kidney failure and heart-related problems. ...
The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation outcomes by enabling physiologic preservation and ...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts f...
All-solid-state batteries are attracting significant attention, particularly the development of solid electrolytes. Among potential candidates, ternar...
Effective monitoring of CO2 leaks from carbon capture and storage (CCS) sites is vital to mitigate environmental risks, including soil acidification a...
BACKGROUND: Acute kidney injury (AKI) is a complex multifactorial syndrome characterized by a rapid decline in kidney function, frequently observed in...
PURPOSE OF REVIEW: Hypertension remains a leading modifiable risk factor for cardiovascular and renal conditions and dementia. Given its rising global...
Automated vessel segmentation in brain CT angiography (CTA) remains challenging despite the potential benefits of its applications. Expert acquisition...
UNLABELLED: Hematopoietic stem cell (HSC) mobilization is a critical step in bone marrow transplantation for treating hematological malignancies and o...
OBJECTIVES: Lupus nephritis (LN) is one of the most common complications of systemic lupus erythematosus. This study aimed to identify key autophagy-r...
BACKGROUNDS: Liver transplantation (LT) is a life-saving procedure for patients with end-stage liver disease, yet post-operative complications, partic...
BACKGROUND AND OBJECTIVE: Frozen section evaluation of donor kidney biopsies is vital for determining transplant suitability, yet remains challenging ...
OBJECTIVE: Although several psychotherapeutic interventions have been introduced for patients receiving maintenance hemodialysis (MHD), challenges suc...
Complex reactions occurring at the electrode/electrolyte interface in Li metal batteries lead to the formation of a solid-electrolyte interphase (SEI)...
CNNs handling multi-scale variations and Transformers modeling long-range dependencies are crucial for vascular segmentation. The fusion of these two ...
BACKGROUND: Baseline lung allograft dysfunction (BLAD), defined as failure to achieve ≥ 80% predicted spirometry after lung transplant, is associated ...