AIMC Topic: Kidney Diseases
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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...
Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
May 28, 2025
BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is increasingly used off-label in pediatric immune-mediated renal diseases. The aims of this study were to develop and validate pharmacokinetic models for m...
AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.
Computer methods and programs in biomedicine
May 7, 2025
BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and assessing the percentage of podocyte foot process effacement (%PFPE) are important for diagnosing non-neoplastic kidney diseases. However, when performed ...
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)....
Incidence
Time Factors
Humans
Insulin Resistance
Risk Assessment
Machine Learning
Male
Predictive Value of Tests
Longitudinal Studies
Decision Support Techniques
China
Cardiovascular Diseases
Metabolic Syndrome
Blood Glucose
Middle Aged
Prospective Studies
Female
Kidney Diseases
Biomarkers
Risk Factors
Prognosis
Aged
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...
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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