Results 61 to 70 of about 46,795 (162)

The role of atherosclerosis in HIV‐associated vasculopathy in young South African stroke patients

open access: yesHIV Medicine, Volume 26, Issue 4, Page 633-642, April 2025.
Abstract Background HIV‐associated vasculopathy is known to cause stroke in people living with HIV (PLWH). The role of atherosclerosis is unclear. We assessed the aetiology of vasculopathy in PLWH and tested the utility of markers of subclinical atherosclerosis to distinguish atherosclerotic (AV) from non‐atherosclerotic vasculopathy (NAV).
Eitzaz Sadiq   +5 more
wiley   +1 more source

Controversy and multiple roles of the solitary nucleus receptor Nur77 in disease and physiology

open access: yesThe FASEB Journal, Volume 39, Issue 6, 31 March 2025.
Multiple roles of Nur77. Nur77 has complex biological functions, including roles in the nervous system, genome integrity, cell differentiation, cell homeostasis, oxidative stress, autophagy, aging, and infection. Furthermore, Nur77 is implicated in various neurodegenerative diseases and cancers. Abstract Neuron‐derived clone 77 (Nur77), a member of the
Yanteng Wang   +3 more
wiley   +1 more source

Anatomically-guided masked autoencoder pre-training for aneurysm detection [PDF]

open access: yesarXiv
Intracranial aneurysms are a major cause of morbidity and mortality worldwide, and detecting them manually is a complex, time-consuming task. Albeit automated solutions are desirable, the limited availability of training data makes it difficult to develop such solutions using typical supervised learning frameworks.
arxiv  

A Lattice Boltzmann Method for Non-Newtonian Blood Flow in Coiled Intracranial Aneurysms [PDF]

open access: yesarXiv
Intracranial aneurysms are the leading cause of hemorrhagic stroke. One of the established treatment approaches is the embolization induced by coil insertion. However, the prediction of treatment and subsequent changed flow characteristics in the aneurysm is still an open problem.
arxiv  

Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning [PDF]

open access: yesarXiv
Intracranial aneurysms (IAs) that rupture result in significant morbidity and mortality. While traditional risk models such as the PHASES score are useful in clinical decision making, machine learning (ML) models offer the potential to provide more accuracy. In this study, we compared the performance of four different machine learning algorithms Random
arxiv  

Injection Bias Reduction Techniques in Quantitative Angiography Using Patient-Specific Phantoms of Intracranial Aneurysm [PDF]

open access: yesarXiv
In intracranial aneurysm (IA) treatment, digital subtraction angiography (DSA) monitors device-induced hemodynamic changes. Quantitative angiography (QA) provides more precise assessments but is limited by hand-injection variability. This study evaluates correction methods using in vitro phantoms that mimic diverse aneurysm morphologies and locations ...
arxiv  

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