AIMC Topic: Fibrosis
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.
Atherosclerosis
May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Rupture, Spontaneous
Plaque, Atherosclerotic
Coronary Stenosis
Tomography, Optical Coherence
Bayes Theorem
Ultrasonography, Interventional
Coronary Artery Disease
Fibrosis
Image Interpretation, Computer-Assisted
Coronary Vessels
Risk Assessment
Disease Progression
Diagnosis, Computer-Assisted
Predictive Value of Tests
Aged
Male
Middle Aged
Machine Learning
Female
Reproducibility of Results
Humans
Risk Factors
Neural Networks, Computer
Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment.
Medical physics
Apr 15, 2019
PURPOSE: To automatically detect and isolate areas of low and high stiffness temporal stability in shear wave elastography (SWE) image sequences and define their impact in chronic liver disease (CLD) diagnosis improvement by means of clinical examina...
Segmentation of histological images and fibrosis identification with a convolutional neural network.
Computers in biology and medicine
May 16, 2018
Segmentation of histological images is one of the most crucial tasks for many biomedical analyses involving quantification of certain tissue types, such as fibrosis via Masson's trichrome staining. However, challenges are posed by the high variabilit...
Mesoporous carbon nanomaterials induced pulmonary surfactant inhibition, cytotoxicity, inflammation and lung fibrosis.
Journal of environmental sciences (China)
Sep 8, 2017
Environmental exposure and health risk upon engineered nanomaterials are increasingly concerned. The family of mesoporous carbon nanomaterials (MCNs) is a rising star in nanotechnology for multidisciplinary research with versatile applications in ele...
Influence of vascular endothelial growth factor and alpha-fetoprotein on hepatocellular carcinoma.
Genetics and molecular research : GMR
Dec 21, 2015
We evaluated the influence of the vascular endothelial growth factor (VEGF) -C936T polymorphism on prognosis of hepatocellular carcinoma (HCC), cirrhosis, and hepatitis C virus (HCV) infection. Serum VEGF and alpha-fetoprotein (AFP) levels were deter...
Molecular mechanisms of suberoylanilide hydroxamic acid in the inhibition of TGF-β1-mediated canine corneal fibrosis.
Veterinary ophthalmology
Nov 12, 2015
OBJECTIVE: To investigate molecular mechanisms mediating anti-fibrotic effect of SAHA in the canine cornea using an in vitro model. We hypothesized that SAHA attenuates corneal fibrosis by modulating Smad-dependent and, to a lesser extent, Smad-indep...
A high-throughput analysis of novel anti-fibrotics in human adult cardiac fibroblasts.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Jul 1, 2025
Myocardial fibrosis, a hallmark of heart failure (HF), contributes to disease progression and mortality by impairing cardiac function. Despite the identification of potential anti-fibrotic molecules, there is a lack of effective pharmacological inter...
Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset.
IEEE transactions on bio-medical engineering
Jul 1, 2025
OBJECTIVE: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimulation of the auditory nerve. Hybrid CIs, which use electroacoustic stimulation (EAS), combine residual low-frequency acoustic hearing with CI electric...
Novel Transcriptomic Signatures in Fibrostenotic Crohn's Disease: Dysregulated Pathways, Promising Biomarkers, and Putative Therapeutic Targets.
Inflammatory bowel diseases
Jun 13, 2025
BACKGROUND: Fibrosis is a common complication in Crohn's disease (CD), often leading to intestinal strictures. This study aims to explore the transcriptomic signature of fibrostenotic ileal CD for a comprehensive characterization of biological and ce...
Deep Learning-based Aligned Strain from Cine Cardiac MRI for Detection of Fibrotic Myocardial Tissue in Patients with Duchenne Muscular Dystrophy.
Radiology. Artificial intelligence
May 1, 2025
Purpose To develop a deep learning (DL) model that derives aligned strain values from cine (noncontrast) cardiac MRI and evaluate performance of these values to predict myocardial fibrosis in patients with Duchenne muscular dystrophy (DMD). Materials...
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