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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 ...
Biomechanical Investigation of Disturbed Hemodynamics-Induced Tissue Degeneration in Abdominal Aortic Aneurysms Using Computational and Experimental Techniques.
(
Frontiers Media
, 2019 , Article Review)
Abdominal aortic aneurysm (AAA) is the dilatation of the aorta beyond 50% of the normal vessel diameter. It is reported that 4-8% of men and 0.5-1% of women above 50 years of age bear an AAA and it accounts for ~15,000 ...
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 ...
Artificial Intelligence in Predicting Heart Failure
(
Qatar University Press
, 2021 , Poster)
Heart Failure is a major chronic disease that is increasing day by day and a great health burden in health care systems world wide. Artificial intelligence (AI) techniques such as machine learning (ML), deep learning (DL), ...
Colorimetry-based Detection of Exhaled Breath Biomarkers for Predicting Heart Failure
(
Qatar University Press
, 2021 , Poster)
The exhaled breath volatile organic compounds (VOC's) represent a biosignature with the potential to identify and describe heart failure diseases. Exhaled Breath biomarkers-based diagnosis of heart diseases may be easier ...
Hemodynamic and Structural Comparison of Human Fetal Heart Development Between Normally Growing and Hypoplastic Left Heart Syndrome-Diagnosed Hearts
(
Frontiers Media
, 2022 , Article)
Congenital heart defects (CHDs) affect a wide range of societies with an incidence rate of 1.0–1.2%. These defects initiate at the early developmental stage and result in critical health disorders. Although genetic factors ...