Functional morphology of the blood–brain barrier in health and disease
The adult quiescent blood–brain barrier (BBB), a structure organised by endothelial cells
through interactions with pericytes, astrocytes, neurons and microglia in the neurovascular …
through interactions with pericytes, astrocytes, neurons and microglia in the neurovascular …
Machine learning in action: stroke diagnosis and outcome prediction
The application of machine learning has rapidly evolved in medicine over the past decade.
In stroke, commercially available machine learning algorithms have already been …
In stroke, commercially available machine learning algorithms have already been …
Interventional Radiology ex-machina: Impact of Artificial Intelligence on practice
M Gurgitano, SA Angileri, GM Rodà, A Liguori… - La radiologia …, 2021 - Springer
Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process
data, understand its meaning and provide the desired outcome, continuously redefining its …
data, understand its meaning and provide the desired outcome, continuously redefining its …
Ischemia-reperfusion injury in stroke
Despite ongoing advances in stroke imaging and treatment, ischemic and hemorrhagic
stroke continue to debilitate patients with devastating outcomes at both the personal and …
stroke continue to debilitate patients with devastating outcomes at both the personal and …
Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset
Stroke is enlisted as one of the leading causes of death and serious disability affecting
millions of human lives across the world with high possibilities of becoming an epidemic in …
millions of human lives across the world with high possibilities of becoming an epidemic in …
Machine learning in acute ischemic stroke neuroimaging
Machine Learning (ML) through pattern recognition algorithms is currently becoming an
essential aid for the diagnosis, treatment, and prediction of complications and patient …
essential aid for the diagnosis, treatment, and prediction of complications and patient …
Assessment of blood–brain barrier disruption in stroke
A Kassner, Z Merali - Stroke, 2015 - Am Heart Assoc
The blue azo dye, Evans blue, has a MW of 1.0 kDa. A notable property of Evans blue is its
propensity to bind serum albumin. The dye can, therefore, be used to measure the …
propensity to bind serum albumin. The dye can, therefore, be used to measure the …
Blood–brain barrier disruption and hemorrhagic transformation in acute ischemic stroke: systematic review and meta-analysis
F Arba, C Rinaldi, D Caimano, F Vit, G Busto… - Frontiers in …, 2021 - frontiersin.org
Introduction: Hemorrhagic transformation (HT) is a complication of reperfusion therapy for
acute ischemic stroke. Blood–brain barrier (BBB) disruption is a crucial step toward HT; …
acute ischemic stroke. Blood–brain barrier (BBB) disruption is a crucial step toward HT; …
Hemorrhagic transformation after tissue plasminogen activator reperfusion therapy for ischemic stroke: mechanisms, models, and biomarkers
W Wang, M Li, Q Chen, J Wang - Molecular neurobiology, 2015 - Springer
Intracerebral hemorrhagic transformation (HT) is well recognized as a common cause of
hemorrhage in patients with ischemic stroke. HT after acute ischemic stroke contributes to …
hemorrhage in patients with ischemic stroke. HT after acute ischemic stroke contributes to …
[HTML][HTML] The blood brain barrier in cerebral ischemic injury–Disruption and repair
With the emergence of novel technologies and ground breaking concepts in BBB basic
research in the past decades, the researchers' attention on the critical role of blood brain …
research in the past decades, the researchers' attention on the critical role of blood brain …