AIMC Topic: Kidney Diseases
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Association of dietary quality, biological aging, progression and mortality of cardiovascular-kidney-metabolic syndrome: insights from mediation and machine learning approaches.
Nutrition journal
Jul 7, 2025
BACKGROUND: To investigate the association between the Dietary Inflammatory Index (DII), biological aging, and the staging and mortality of cardiovascular-kidney-metabolic (CKM) syndrome.
Identification of potential pathogenic genes associated with the comorbidity of rheumatoid arthritis and renal fibrosis using bioinformatics and machine learning.
Scientific reports
Jul 1, 2025
This study aimed to identify the potential pathogenic genes associated with the comorbidity of rheumatoid arthritis (RA) and renal fibrosis (RF). Transcriptomic data related to RA and RF were retrieved from the GEO database. Differential expression g...
Recruiting Teacher IF Modality for Nephropathy Diagnosis: A Customized Distillation Method With Attention-Based Diffusion Network.
IEEE transactions on medical imaging
May 2, 2025
The joint use of multiple modalities for medical image processing has been widely studied in recent years. The fusion of information from different modalities has demonstrated the performance improvement for a lot of medical tasks. For nephropathy di...
Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.
Cardiovascular diabetology
Apr 16, 2025
BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting the increasing importance of the complex interplay between metabolic, renal, and cardiovascular diseases (CVD)....
Time Factors
Insulin Resistance
Longitudinal Studies
Metabolic Syndrome
Kidney Diseases
Predictive Value of Tests
China
Humans
Blood Glucose
Machine Learning
Incidence
Cardiovascular Diseases
Middle Aged
Risk Assessment
Female
Risk Factors
Decision Support Techniques
Aged
Prospective Studies
Male
Biomarkers
Prognosis
Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification.
Scientific reports
Apr 11, 2025
To address the public health issue of renal failure and the global shortage of nephrologists, an AI-based system has been developed to automatically identify kidney diseases. Recent advancements in machine learning, deep learning (DL), and artificial...
Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging.
Scientific reports
Mar 28, 2025
The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lead to kidney failures. Early detection of kidney disease is crucial for effective intervention, often challenging due to unnoticeable symptoms in the i...
Imaging and spatially resolved mass spectrometry applications in nephrology.
Nature reviews. Nephrology
Mar 27, 2025
The application of spatially resolved mass spectrometry (MS) and MS imaging approaches for studying biomolecular processes in the kidney is rapidly growing. These powerful methods, which enable label-free and multiplexed detection of many molecular c...
A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.
Kidney international
Mar 24, 2025
For decades, electron microscopy has been the primary method to visualize ultrastructural details of the kidney, including podocyte foot processes and the slit diaphragm. Despite its status as the gold standard, electron microscopy has significant li...
Monitoring kidney microanatomy during ischemia-reperfusion using ANFIS optimized CNN.
International urology and nephrology
Mar 18, 2025
Kidney disease is a dangerous disease that affects human health and causes various defects. Renal microbiological changes can be monitored using optical coherence tomography (OCT) images to identify the nature of the disease based on behavior during ...
Low-Cost Raman Spectroscopy Setup Combined with a Machine Learning Model.
Sensors (Basel, Switzerland)
Jan 23, 2025
The diagnosis of kidney diseases presents significant challenges, including the reliance on variable and unstable biomarkers and the necessity for complex and expensive laboratory tests. Raman spectroscopy emerges as a promising technique for analyzi...
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