COVID-19 can lead to multiple severe outcomes including neurological and psychological impacts. However, it is challenging to manually scan hundreds of thousands of COVID-19 articles on a regular basis. To update our knowledge, provide sound science to the public, and communicate effectively, it is critical to have an efficient means of following the most current published data. In this study, we developed a language model to search abstracts using the most advanced artificial intelligence (AI) to accurately retrieve articles on COVID-19-associated neurological disorders. We applied this NeuroCORD model to the largest benchmark dataset of COVID-19, CORD-19. We found that the model developed on the training set yielded 94% prediction accuracy on the test set. This result was subsequently verified by two experts in the field. In addition, when applied to 96,000 non-labeled articles that were published after 2020, the NeuroCORD model accurately identified approximately 3% of them to be relevant for the study of COVID-19-associated neurological disorders, while only 0.5% were retrieved using conventional keyword searching. In conclusion, NeuroCORD provides an opportunity to profile neurological disorders resulting from COVID-19 in a rapid and efficient fashion, and its general framework could be used to study other COVID-19-related emerging health issues.
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http://dx.doi.org/10.3390/ijerph19169974 | DOI Listing |
Mult Scler Relat Disord
December 2024
University of Miami Miller School of Medicine, Miami, FL, United States.
Background: Multiple sclerosis (MS) is a complex neurodegenerative disease characterized by immune dysregulation, affecting over 2.5 million people worldwide. Interestingly, COVID-19 infection can cause neurodegeneration through demyelination similar to that of MS, and COVID-19 infection can lead to long-term neurological sequelae, post-COVID-19 neurological syndrome.
View Article and Find Full Text PDFIran J Child Neurol
September 2024
Department of Peadiatrics, Ramaiah Medical College, Bangalore, India.
Objectives: Neurological manifestations of Severe Acute Respiratory Syndrome coronavirus-2 have been well documented in adults during and after infection with the virus as well as after vaccination. The incidence of severe neurological symptoms among children is very low. This study aimed to analyze the varied neurological manifestations after COVID-19 infection among children and give a report on a single-center experience with these severe neurological symptoms.
View Article and Find Full Text PDFInt J Mol Sci
October 2024
Department of Pharmacodynamics, Faculty of Pharmaceutical Sciences, Semmelweis University, 1089 Budapest, Hungary.
Mounting evidence supports the key role of the disrupted integrity of the blood-brain barrier (BBB) in stress- and inflammation-associated depression. We assumed that variations in genes regulating the expression and coding proteins constructing and maintaining this barrier, along with those involved in inflammation, have a predisposing or protecting role in the development of depressive symptoms after experiencing severe stress. To prove this, genome-by-environment (GxE) interaction analyses were conducted on 6.
View Article and Find Full Text PDFCurr J Neurol
January 2024
Iranian Center of Neurological Research, Neuroscience Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
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