Results 211 to 220 of about 64,412 (328)

Sex‐based differences in outcomes between male and female patients with bicuspid aortic stenosis following transcatheter aortic valve replacement: A meta‐analysis

open access: yesPrecision Medical Sciences, EarlyView.
Central illustration: Sex‐based differences in outcomes between male and female patients with bicuspid aortic stenosis following transcatheter aortic valve replacement. Abstract Bicuspid aortic valve (BAV) is a common congenital anomaly leading to early aortic stenosis.
Muhammad Huzaifa Ahmed Khan   +12 more
wiley   +1 more source

Optoelectronic Interfaces for Nongenetic Modulation of Excitable Tissues

open access: yesSmall Methods, EarlyView.
This review summarizes recent advances in nongenetic optoelectronic technologies for the modulation of excitable biotissues, covering material selection, device design, and working principles, as well as characterization methods. Representative applications in in vitro and in vivo models of the cardiac, central, and peripheral nervous systems are ...
Qi Wang, Jinghua Li
wiley   +1 more source

Left Ventricular Outflow Tract Obstruction Defined by Active Three‐Dimensional Echocardiography Using Rotational Transthoracic Acquisition

open access: green, 1994
Derek A. Fyfe   +5 more
openalex   +2 more sources

Late left ventricular outflow tract obstruction following mitral valve replacement [PDF]

open access: bronze, 2014
Kasra Shaikhrezai   +3 more
openalex   +1 more source

Multiple left ventricular outflow obstructions

open access: yesThe Journal of Thoracic and Cardiovascular Surgery, 1972
Richard E. Kerber   +5 more
openaire   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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