Results 71 to 80 of about 2,119,388 (341)

Presbycusis: Pathology, Signal Pathways, and Therapeutic Strategy

open access: yesAdvanced Science, EarlyView.
In ARHL, the stria vascularis, acting as a cochlear battery, gradually loses its ability to maintain the endocochlear potential, leading to impaired hair cell function and progressive hearing loss. Single‐cell sequencing reveals age‐related cellular changes in the cochlea, providing insights into the underlying mechanisms of aging and potential ...
Xiaoxu Zhao   +12 more
wiley   +1 more source

P Wave Dispersion is Increased in Pulmonary Stenosis [PDF]

open access: yes, 2006
Aim: The right atrium pressure load is increased in pulmonary stenosis (PS) that is a congenital anomaly and this changes the electrophysiological characteristics of the atria.
Cebeci, Bekir Sitki   +5 more
core   +2 more sources

Comparison of the ATRIA, CHADS2, and CHA2DS2-VASc stroke risk scores in predicting ischaemic stroke in a large Swedish cohort of patients with atrial fibrillation.

open access: yesEuropean Heart Journal, 2016
AIMS Better stroke risk prediction is needed to optimize the anticoagulation decision in atrial fibrillation (AF). The ATRIA stroke risk score (ATRIA) was developed and validated in two large California community AF cohorts.
S. Aspberg   +5 more
semanticscholar   +1 more source

Correlation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study

open access: yesAdvanced Science, EarlyView.
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu   +38 more
wiley   +1 more source

Atrial cellular electrophysiological changes in patients with ventricular dysfunction may predispose to AF [PDF]

open access: yes, 2009
<b>Background:</b> Left ventricular systolic dysfunction (LVSD) is a risk factor for atrial fibrillation (AF), but the atrial cellular electrophysiological mechanisms in humans are unclear.
Kane, K.A.   +7 more
core   +2 more sources

Sacubitril/valsartan attenuates atrial conduction disturbance and electrophysiological heterogeneity with ameliorating fibrosis in mice

open access: yesFrontiers in Cardiovascular Medicine
BackgroundSacubitril/valsartan (SacVal) has been shown to improve the prognosis of heart failure; however, whether SacVal reduces the occurrence of atrial fibrillation (AF) in heart failure has not yet been elucidated.
Satoshi Iwamiya   +3 more
doaj   +1 more source

Application of an automatic segmentation method for evaluating cardiac structure doses received by breast radiotherapy patients

open access: yesPhysics and Imaging in Radiation Oncology, 2021
Background and purpose: Quantifying radiation dose to cardiac substructures is important for research on the etiology and prevention of complications following radiotherapy; however, segmentation of substructures is challenging.
Jae Won Jung   +11 more
doaj  

Transcriptional analysis of the mammalian heart with special reference to its endocrine function

open access: yesBMC Genomics, 2009
Background Pharmacological and gene ablation studies have demonstrated the crucial role of the endocrine function of the heart as mediated by the polypeptide hormones ANF and BNP in the maintenance of cardiovascular homeostasis.
de Bold Adolfo J, McGrath Monica
doaj   +1 more source

Development of autoimmune hair loss disease alopecia areata is associated with cardiac dysfunction in C3H/HeJ mice. [PDF]

open access: yesPLoS ONE, 2013
Alopecia areata (AA) is a chronic autoimmune hair loss disease that affects several million men, women and children worldwide. Previous studies have suggested a link between autoimmunity, stress hormones, and increased cardiovascular disease risk. In the
Eddy Wang   +6 more
doaj   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

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