AIMC Topic: Kidney Diseases
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Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.
Scientific reports
Jul 16, 2023
Diabetes is a heterogenous, multimorbid disorder with a large variation in manifestations, trajectories, and outcomes. The aim of this study is to validate a novel machine learning method for the phenotyping of diabetes in the context of comorbiditie...
Construction of a neural network diagnostic model for renal fibrosis and investigation of immune infiltration characteristics.
Frontiers in immunology
Jun 9, 2023
BACKGROUND: Recently, the incidence rate of renal fibrosis has been increasing worldwide, greatly increasing the burden on society. However, the diagnostic and therapeutic tools available for the disease are insufficient, necessitating the screening ...
OSCA-finder: Redefining the assay of kidney disease diagnostic through metabolomics and deep learning.
Talanta
Jun 2, 2023
Liquid chromatography-mass spectrometry (LC-MS) is a platform for urine and blood sample analysis. However, the high variability in the urine sample reduced the confidence of metabolite identification. Therefore, pre and post-calibration operations a...
Differentiation between normal and abnormal kidneys using Tc-DMSA SPECT with deep learning in paediatric patients.
Clinical radiology
May 13, 2023
AIM: To investigate the feasibility of using deep learning (DL) to differentiate normal from abnormal (or scarred) kidneys using technetium-99m dimercaptosuccinic acid (Tc-DMSA) single-photon-emission computed tomography (SPECT) in paediatric patient...
Robotic Approach to Large Inguinal Hernia Containing Native Pelvic Kidney.
Urology
Apr 28, 2023
Deep learning-based segmentation and quantification of podocyte foot process morphology suggests differential patterns of foot process effacement across kidney pathologies.
Kidney international
Mar 27, 2023
Morphological alterations at the kidney filtration barrier increase intrinsic capillary wall permeability resulting in albuminuria. However, automated, quantitative assessment of these morphological changes has not been possible with electron or ligh...
Artificial intelligence in renal pathology: Current status and future.
Biomolecules & biomedicine
Mar 16, 2023
Renal biopsy pathology is an essential gold standard for the diagnosis of most kidney diseases. With the increase in the incidence rate of kidney diseases, the lack of renal pathologists, and an imbalance in their distribution, there is an urgent nee...
IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation.
Computer methods and programs in biomedicine
Sep 2, 2022
BACKGROUND AND OBJECTIVE: Tiny spike-like projections on the basement membrane of glomeruli are the main pathological feature of membranous nephropathy at stage II (MN II), which is the most significant stage for the diagnosis and treatment of renal ...
Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning Approaches.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Mar 10, 2022
BACKGROUND: Until today, assessment of renal function has remained a challenge for modern medicine. In many cases, kidney diseases accompanied by a decrease in renal function remain undetected and unsolved, since neither laboratory tests nor imaging ...
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