Results 31 to 40 of about 1,748,144 (308)

Current Animal Models of Postoperative Spine Infection and Potential Future Advances. [PDF]

open access: yes, 2015
Implant related infection following spine surgery is a devastating complication for patients and can potentially lead to significant neurological compromise, disability, morbidity, and even mortality.
Bernthal, NM   +7 more
core   +1 more source

Herding and Social Pressure in Trading Tasks: A Behavioural Analysis [PDF]

open access: yes, 2007
We extend the experimental literature on Bayesian herding using evidence from a financial decision-making experiment. We identify significant propensities to herd increasing with the degree of herd-consensus. We test various herding models to capture the
Baddeley, Michelle   +4 more
core   +2 more sources

Long-term Neurological Sequelae in Post-COVID-19 Patients: A Machine Learning Approach to Predict Outcomes [PDF]

open access: yesarXiv, 2023
The COVID-19 pandemic has brought to light a concerning aspect of long-term neurological complications in post-recovery patients. This study delved into the investigation of such neurological sequelae in a cohort of 500 post-COVID-19 patients, encompassing individuals with varying illness severity.
arxiv  

Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation. [PDF]

open access: yes, 2016
After an initial period of recovery, human neurological injury has long been thought to be static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or traumatic brain injury, researchers have been working to ...
Edgerton, V Reggie   +4 more
core   +1 more source

Molecular Targets of Cannabidiol in Experimental Models of Neurological Disease

open access: yesMolecules, 2020
Cannabidiol (CBD) is a non-psychoactive phytocannabinoid known for its beneficial effects including antioxidant and anti-inflammatory properties. Moreover, CBD is a compound with antidepressant, anxiolytic, anticonvulsant and antipsychotic effects ...
Serena Silvestro   +3 more
doaj   +1 more source

Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining [PDF]

open access: yesarXiv, 2022
Deep learning associated with neurological signals is poised to drive major advancements in diverse fields such as medical diagnostics, neurorehabilitation, and brain-computer interfaces. The challenge in harnessing the full potential of these signals lies in the dependency on extensive, high-quality annotated data, which is often scarce and expensive ...
arxiv  

Intravenous tPA therapy does not worsen acute intracerebral hemorrhage in mice [PDF]

open access: yes, 2013
Tissue plasminogen activator (tPA) is the only FDA-approved treatment for reperfusing ischemic strokes. But widespread use of tPA is still limited by fears of inadvertently administering tPA in patients with intracerebral hemorrhage (ICH).
Arai, Ken   +13 more
core   +3 more sources

Granulocyte-colony stimulating factor in experimental stroke and its effects on infarct size and functional outcome: a systematic review [PDF]

open access: yes, 2009
Background Granulocyte-colony stimulating factor (G-CSF) shows promise as a treatment for stroke. This systematic review assesses G-CSF in experimental ischaemic stroke.
Alvarez-Dolado   +55 more
core   +2 more sources

Positive impact of pre-stroke surgery on survival following transient focal ischemia in hypertensive rats [PDF]

open access: yes, 2012
We describe a positive influence of pre-stroke surgery on recovery and survival in a commonly used experimental stroke model. Two groups of male, stroke-prone spontaneously hypertensive rats (SHRSPs) underwent transient middle cerebral artery occlusion ...
Alice Graves   +25 more
core   +1 more source

A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction [PDF]

open access: yesAnaesthesia Critical Care & Pain Medicine 41.1 (2022): 101015, 2020
Patients resuscitated from cardiac arrest (CA) face a high risk of neurological disability and death, however pragmatic methods are lacking for accurate and reliable prognostication. The aim of this study was to build computational models to predict post-CA outcome by leveraging high-dimensional patient data available early after admission to the ...
arxiv   +1 more source

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