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
Contrast-free detection of myocardial fibrosis in hypertrophic cardiomyopathy patients with diffusion-weighted cardiovascular magnetic resonance. [PDF]
, 2015 BackgroundsPrevious studies have shown that diffusion-weighted cardiovascular magnetic resonance (DW-CMR) is highly sensitive to replacement fibrosis of chronic myocardial infarction. Despite this sensitivity to myocardial infarction, DW-CMR has not been
Bi, Xiaoming +6 more
core +2 more sources
Identification of Novel Fibrosis Modifiers by In Vivo siRNA Silencing. [PDF]
, 2017 Fibrotic diseases contribute to 45% of deaths in the industrialized world, and therefore a better understanding of the pathophysiological mechanisms underlying tissue fibrosis is sorely needed.
Amatucci, Aldo +16 more
core +2 more sources
Frontiers in Cellular and Infection Microbiology, 2011 IntroductionOrganisms of the Burkholderia cepacia complex (BCC) are important pathogens in cystic fibrosis (CF). The majority of those who acquire BCC develop chronic infection but it can also result in rapid decline in a significant minority.
Alex eHorsley +7 more
doaj +1 more source
Characterizing Pulmonary Fibrosis Patterns in Post-COVID-19 Patients through Machine Learning Algorithms [PDF]
arXiv, 2023 The COVID-19 pandemic has left a lasting impact on global healthcare systems, with increasing evidence of pulmonary fibrosis emerging as a post-infection complication. This study presents a comprehensive analysis of pulmonary fibrosis patterns in post-COVID-19 patients from South and Central Iraq, employing advanced machine learning algorithms.
arxiv
Targeted therapies to improve CFTR function in cystic fibrosis [PDF]
, 2015 Cystic fibrosis is the most common genetically determined, life-limiting disorder in populations of European ancestry. The genetic basis of cystic fibrosis is well established to be mutations in the cystic fibrosis transmembrane conductance regulator ...
Brodlie, M +3 more
core +2 more sources
Serum hyaluronate as a non-invasive marker of hepatic fibrosis and inflammation in HBeAg-negative chronic hepatitis B [PDF]
, 2005 Background: HBV infection is a serious global heath problem. It is crucial to monitor this disease more closely with a non-invasive marker in clinical trials.
Derakhshan, M.H. +9 more
core +4 more sources
Multiphase modeling of tumor growth with matrix remodeling and fibrosis [PDF]
Math. Comput. Modelling, 52(7-8):969-976, 2010, 2009 We present a multiphase mathematical model for tumor growth which incorporates the remodeling of the extracellular matrix and describes the formation of fibrotic tissue by tumor cells. We also detail a full qualitative analysis of the spatially homogeneous problem, and study the equilibria of the system in order to characterize the conditions under ...
arxiv +1 more source
IL-33 promotes ST2-dependent lung fibrosis by the induction of alternatively activated macrophages and innate lymphoid cells in mice [PDF]
, 2014 Background<p></p> The initiation and regulation of pulmonary fibrosis are not well understood. IL-33, an important cytokine for respiratory diseases, is overexpressed in the lungs of patients with idiopathic pulmonary fibrosis.<p>< ...
Besnard, Anne-Gaëlle +10 more
core +3 more sources
How are the ancient cystic fibrosis patients? Cystic fibrosis diagnosed over 60 years-old
Respiratory Medicine Case Reports, 2017 Background and aims: To specify the prevalence of patients diagnosed with CF at age of ≥60 year-old and to analyze their characteristics. Patients and methods: Observational study of CF patients which were diagnosed at age ≥60 year-old.
C. Prados +10 more
doaj +1 more source