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Advanced blood flow assessment in Zebrafish via experimental digital particle image velocimetry and computational fluid dynamics modeling
(
Elsevier
, 2020 , Article)
Over the past few decades, Zebrafish has become a widely used vertebrate model for cardiovascular research. Easy genetic manipulation, low cost, high fecundity, embryonic transparency, and ability to survive in the early ...
Microfluidic-based virus detection methods for respiratory diseases
(
Springer
, 2021 , Article)
With the recent SARS-CoV-2 outbreak, the importance of rapid and direct detection of respiratory disease viruses has been well recognized. The detection of these viruses with novel technologies is vital in timely prevention ...
Computational Modeling of Blood Flow Hemodynamics for Biomechanical Investigation of Cardiac Development and Disease.
(
MDPI
, 2021 , Article)
The heart is the first functional organ in a developing embryo. Cardiac development continues throughout developmental stages while the heart goes through a serious of drastic morphological changes. Previous animal experiments ...
Numerical Investigation of the Fetal Left Heart Hemodynamics During Gestational Stages
(
Frontiers Media
, 2021 , Article)
Flow-driven hemodynamic forces on the cardiac tissues have critical importance, and have a significant role in the proper development of the heart. These mechanobiological mechanisms govern the cellular responses for the ...
Crosstalk between Sodium–Glucose Cotransporter Inhibitors and Sodium–Hydrogen Exchanger 1 and 3 in Cardiometabolic Diseases
(
MDPI
, 2021 , Article)
Abnormality in glucose homeostasis due to hyperglycemia or insulin resistance is the
hallmark of type 2 diabetes mellitus (T2DM). These metabolic abnormalities in T2DM lead to cellular
dysfunction and the development of ...
A review of smart sensors coupled with Internet of Things and Artificial Intelligence approach for heart failure monitoring
(
Springer Nature
, 2021 , Article)
Over the last decade, there has been a huge demand for health care technologies such as sensors-based prediction using digital health. With the continuous rise in the human population, these technologies showed to be ...