Genome-wide DNA methylation dynamics in carbon tetrachloride-induced mice liver fibrosis [PDF]
Iranian Journal of Basic Medical Sciences, 2023 Objective(s): Many persistent harmful stimuli can result in chronic liver diseases, which lead to about 2 million deaths per year in the whole world. Liver fibrosis was found to exist in all kinds of chronic liver diseases.
Deming Li +5 more
doaj +1 more source
The lens as a model for fibrotic disease [PDF]
, 2011 Fibrosis affects multiple organs and is associated with hyperproliferation, cell transdifferentiation, matrix modification and contraction. It is therefore essential to discover the key drivers of fibrotic events, which in turn will facilitate the ...
Dawes, LJ, Eldred, JA, Wormstone, IM
core +2 more sources
A model based on clinical parameters to identify myocardial late gadolinium enhancement by magnetic resonance in patients with aortic stenosis: An observational study [PDF]
, 2020 Objective With increasing age, the prevalence of aortic stenosis grows exponentially, increasing left heart pressures and potentially leading to myocardial hypertrophy, myocardial fibrosis and adverse outcomes.
Alpendurada, Francisco +6 more
core +1 more source
Arrhythmogenicity of cardiac fibrosis: fractal measures and Betti numbers [PDF]
arXiv, 2021 Infarction- or ischaemia-induced cardiac fibrosis can be arrythmogenic. We use mathematcal models for diffuse fibrosis ($\mathcal{DF}$), interstitial fibrosis ($\mathcal{IF}$), patchy fibrosis ($\mathcal{PF}$), and compact fibrosis ($\mathcal{CF}$) to study patterns of fibrotic cardiac tissue that have been generated by new mathematical algorithms.
arxiv
Micro-RNA family that modulates fibrosis and uses thereof [PDF]
, 2017 The present invention relates to the identification of a microRNA family, designated miR-29a-c, that is a key regulator of fibrosis in cardiac tissue. The inventors show that members of the miR-29 family are down-regulated in the heart tissue in response
Olson, Eric N., van Rooij, Eva
core +1 more source
Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques [PDF]
, 2022 Background: Artificial intelligence techniques have demonstrated great potential in cardiology, especially to detect imperceptible patterns for the human eye. In this sense, these techniques seem to be adequate to identify patterns in the myocardial texture which could lead to characterize and quantify fibrosis.
arxiv +1 more source
Renal fibrosis in feline chronic kidney disease: known mediators and mechanisms of injury [PDF]
, 2015 Chronic kidney disease (CKD) is a common medical condition of ageing cats. In most cases the underlying aetiology is unknown, but the most frequently reported pathological diagnosis is renal tubulointerstitial fibrosis.
Elliott, J +4 more
core +1 more source
Elevated sweat chloride test: is it always cystic fibrosis?
Italian Journal of Pediatrics, 2021 Background The sweat chloride test (ST) is the gold standard for cystic fibrosis (CF) diagnosis in symptomatic patients, within the newborn screening and in the follow-up of CF patients during molecular therapies.
C. Cimbalo +6 more
doaj +1 more source
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images [PDF]
arXiv, 2021 Pulmonary fibrosis is a devastating chronic lung disease that causes irreparable lung tissue scarring and damage, resulting in progressive loss in lung capacity and has no known cure. A critical step in the treatment and management of pulmonary fibrosis is the assessment of lung function decline, with computed tomography (CT) imaging being a ...
arxiv
Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks [PDF]
Machine Learning in Medical Imaging 2019, 2020 Accurate analysis of the fibrosis stage plays very important roles in follow-up of patients with chronic hepatitis B infection. In this paper, a deep learning framework is presented for automatically liver fibrosis prediction. On contrary of previous works, our approach can take use of the information provided by multiple ultrasound images.
arxiv +1 more source