Results 61 to 70 of about 736,331 (320)
Advanced Healthcare Materials, Volume 14, Issue 7, March 14, 2025.This review highlights emerging bioengineering strategies for treating neointimal hyperplasia in the peripheral vasculature, focusing on approaches that promote re‐endothelialization, modulate smooth muscle cell phenotype, reduce inflammation, mitigate oxidative stress, and optimize biomechanical compliance.
Nikita Wilson John +5 more
wiley +1 more source
Materials Advances in Devices for Heart Disease Interventions
Advanced Materials, EarlyView.This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra +11 more
wiley +1 more source
Congenital aortic stenosis due to unicuspid unicommissural aortic valve: a case report
Journal of Cardiothoracic Surgery, 2018 Background Unicuspid unicommissural aortic valve is an extremely rare congenital anomaly that usually presents in adulthood but can rarely present in infancy.
Arnar B. Ingason +2 more
doaj +1 more source
Non‐Invasive Diagnosis of Hypertrophic Cardiomyopathy by Breath
Advanced Sensor Research, EarlyView.The use of sensor technologies for the diagnosis of hypertrophic cardiomyopathy (HCM) by identification of volatile organic compounds (VOCs) in breath samples. By combining gas chromatography‐mass spectrometry (GC‐MS) and electronic nose (eNose) platforms, specific VOC patterns associated with HCM are detected and analyzed.
Yael Hershkovitz‐Pollak +5 more
wiley +1 more source
Ideal Cardiovascular Health and the Prevalence and Severity of Aortic Stenosis in Elderly Patients
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2018 BackgroundThe relationship between ideal cardiovascular health reflected in the cardiovascular health score (CVHS) and valvular heart disease is not known.
Morten Sengeløv +7 more
doaj +1 more source
Uncover Hidden Physical Information of Soft Matter by Observing Large Deformation
Advanced Science, EarlyView.Detecting internal abnormalities in soft matter remains challenging due to its heterogeneous nature. This study introduces a method that infers hidden physical properties by matching observed deformation with simulation through parallel Bayesian optimization.
Huanyu Yang +9 more
wiley +1 more source
Dynamic simulation of aortic valve stenosis using a lumped parameter cardiovascular system model with flow regime dependent valve pressure loss characteristics [PDF]
arXiv, 2022 Valvular heart diseases are growing concern in impoverished parts of the world, such as Southern-Africa, claiming more than 31 % of total deaths related to cardiovascular diseases. The ability to model the effects of regurgitant and obstructive lesions on the valve body can assist clinicians in preparing personalised treatments.
arxiv
SciMedicine Journal, 2022 Introduction: aortic stenosis (AS) increases the afterload on the left ventricle, leading to structural changes in the heart muscle and gradual progression to heart failure (HF).
Amr Elkammash
doaj +1 more source
Advanced Science, EarlyView.This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley +1 more source
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography [PDF]
arXiv, 2023 Aortic stenosis (AS) is a common heart valve disease that requires accurate and timely diagnosis for appropriate treatment. Most current automatic AS severity detection methods rely on black-box models with a low level of trustworthiness, which hinders clinical adoption. To address this issue, we propose ProtoASNet, a prototypical network that directly
arxiv