Introduction Autologous bone is a commonly used material for cranioplasty following decompressive craniectomy; however, it is accompanied by the inherent risk of resorption. This study aimed to identi...
Brain tumours cause severe morbidity. Needs to be diagnosed in the minimum time and with the Highest accuracy. It takes a long time to learn Deep learning Models that can predict the type and severity...
Background Our study aimed to explore the correlations between Auditory Brainstem Response outcomes and Autism phenotypes.Methods A total of 1883 children with or suspected of being with ASD were enro...
Neuroscience and artificial intelligence, the convergence of neuroscience and artificial intelligence has presented revolutionary sports performance optimization. This paper is a comprehensive Neuro. ...
The gliovascular unit (GVU), a specialized interface between the brain and the vascular system, assembles and matures after birth and establishes essential homeostatic functions, including blood–brain...
Active learning is appealing for low-label ADME modeling, but its value under scaffold split remains difficult to interpret because acquisition rules are often compared under changing representations,...
SARS-CoV-2 coronavirus emerged in 2019, leading to the Coronavirus disease 2019 (COVID-19). Expression of viral entry factors such as ACE2 and TMPRSS2 is higher in the testis, particularly in Sertoli ...
Background Mild traumatic brain injury (mTBI) in patients receiving antiplatelet therapy is a frequent emergency department presentation. We aimed to describe the prevalence of traumatic intracranial ...
Background Acute kidney injury (AKI) is a major contributor to morbidity and mortality in neonates with hypoxic–ischemic encephalopathy (HIE). This study evaluated the incidence, clinical predictors, ...
Alzheimer’s disease is a progressive neurodegenerative disorder characterized by cognitive decline and widespread cellular dysfunction. While individual pathological features such as mitochondrial imp...
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